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Modulation Techniques for Li-Fi Mohamed Sufyan Islim, Harald Haas ZTE Communications    2016, 14 (2): 29-40.   DOI: 10.3969/j.issn.1673-5188.2016.02.004 Abstract （1823）      PDF （476KB）（1985）       Knowledge map    Save Modulation techniques for light fidelity (Li-Fi) are reviewed in this paper. Li-Fi is the fully networked solution for multiple users that combines communication and illumination simultaneously. Light emitting diodes (LEDs) are used in Li-Fi as visible light transmitters, therefore, only intensity modulated direct detected modulation techniques can be achieved. Single carrier modulation techniques are straightforward to be used in Li-Fi, however, computationally complex equalization processes are required in frequency selective Li-Fi channels. On the other hand, multicarrier modulation techniques offer a viable solution for Li-Fi in terms of power, spectral and computational efficiency. In particular, orthogonal frequency division multiplexing (OFDM) based modula-tion techniques offer a practical solution for Li-Fi, especially when direct current (DC) wander, and adaptive bit and power loading techniques are considered. Li-Fi modulation techniques need to also satisfy illumination requirements. Flickering avoidance and dimming control are considered in the variant modulation techniques presented. This paper surveys the suitable modulation techniques for Li-Fi including those which explore time, frequency and colour domains. Related Articles | Metrics

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Services and Key Technologies of the Internet of Things Xing Xiaojiang, Wang Jianli, Li Mingdong ZTE Communications    2010, 8 (2): 26-29.   Abstract （888）      PDF （451KB）（1440）       Knowledge map    Save This article introduces the services and development of the Internet of Things, and analyzes the driving forces and obstacles behind such development. Looking at application types and the different development stages of the Internet of Things, this article categorizes its services into four types: identity related services, information aggregation services, collaborative-aware services, and ubiquitous services. For the first two types of services, applications and system framework are discussed; for the last two types, development trends are discussed. Services provided by the Internet of Things will gradually be integrated into human life and society; with the development of the Internet of Things, applications will evolve from relatively simple identity-related and information aggregation-related applications, to collaboratively-aware, and finally ubiquitous applications. It will then be possible for the Internet of Things to be fully integrated with Internet and telecommunications networks. Related Articles | Metrics

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Cloud Computing: Concept, Model, and Key Technologies Kevin Yin ZTE Communications    2010, 8 (4): 21-26.   Abstract （496）      PDF （468KB）（1263）       Knowledge map    Save Cloud computing is a new network computing paradigm based on IP architecture, and its potential lies in new ICT business applications. For the majority of operators and enterprises, the main task associated with cloud computing is next generation data center transformation. This will ensure cloud computing becomes more widespread among enterprises, institutions, organizations, and operators. Cloud computing not only provides traditional IT resource usage and application services, but also supports full resource usage and application services such as IT, communications, video, mobile, and Internet of Things using a converged network infrastructure. Key cloud computing technologies include unified fabric, unified virtualization, and unified computing system. The formation of an open industry alliance and promotion of open technology standards will be critical for the future development of cloud computing. Related Articles | Metrics

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Introduction to Cloud Manufacturing Li Bohu, Zhang Lin, Chai Xudong ZTE Communications    2010, 8 (4): 6-9.   Abstract （1295）      PDF （640KB）（840）       Knowledge map    Save Cloud manufacturing is a new, networked and intelligent manufacturing model that is service-oriented, knowledge based, high performance, and energy efficient. In this model, state-of-the-art technologies such as informatized manufacturing, cloud computing, Internet of Things, semantic Web, and high-performance computing are integrated in order to provide secure, reliable, and high quality on-demand services at low prices for those involved in the whole manufacturing lifecycle. As an important part of cloud manufacturing, cloud simulation technology based on the COSIM-CSP platform has primarily been applied in the design of a multidisciplinary virtual prototype of a flight vehicle. This lays the foundation for further research into cloud manufacturing. Related Articles | Metrics

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Kinetic Energy Harvesting Toward Battery-Free IoT: Fundamentals, Co-Design Necessity and Prospects LIANG Junrui, LI Xin, YANG Hailiang ZTE Communications    2021, 19 (1): 48-60.   DOI: 10.12142/ZTECOM.202101007 Abstract （136）   HTML （10）    PDF （1567KB）（711）       Knowledge map    Save Energy harvesting (EH) technology is developed with the purpose of harnessing ambient energy in different physical forms. Although the available ambient energy is usually tiny, not comparable to the centralized power generation, it brings out the convenience of on-site power generation by drawing energy from local sources, which meets the emerging power demand of long-lasting, extensively-deployed, and maintenance-free Internet of Things (IoT). Kinetic energy harvesting (KEH) is one of the most promising EH solutions toward the realization of battery-free IoT. The KEH-based battery-free IoT can be extensively deployed in the smart home, smart building, and smart city scenarios, enabling perceptivity, intelligence, and connectivity in many infrastructures. This paper gives a brief introduction to the configurations and basic principles of practical KEH-IoT systems, including their mechanical, electrical, and computing parts. Although there are already a few commercial products in some specific application markets, the understanding and practice in the co-design and optimization of a single KEH-IoT device are far from mature, let alone the conceived multiagent energy-autonomous intelligent systems. Future research and development of the KEH-IoT system beckons for more exchange and collaboration among mechanical, electrical, and computer engineers toward general design guidelines to cope with these interdisciplinary engineering problems. Table and Figures | Reference | Related Articles | Metrics

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Analysis of Hot Topics in Cloud Computing Li Deyi, Chen Guisheng, Zhang Haisu ZTE Communications    2010, 8 (4): 1-5.   Abstract （840）      PDF （521KB）（673）       Knowledge map    Save In the field of cloud computing, topics such as computing resource virtualization, differences between grid and cloud computing, relationship between high-performance computers and cloud computing centers, and cloud security and standards have attracted much research interest. This paper analyzes these topics and highlights that resource virtualization allows information services to be scalable, intensive, and specialized; grid computing involves using many computers for large-scale computing tasks, while cloud computing uses one platform for multiple services; high-performance computers may not be suitable for a cloud computing; security in cloud computing focuses on trust management between service suppliers and users; and based on the existing standards, standardization of cloud computing should focus on interoperability between services Related Articles | Metrics

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Barcelona Smart City: The Heaven on Earth (Internet of Things: Technological God) Somayya Madakam, Ramaswamy Ramachandran ZTE Communications    2015, 13 (4): 3-9.   DOI: 10.3969/j.issn.1673-5188.2015.04.001 Abstract （281）      PDF （564KB）（670）       Knowledge map    Save Cities are the most preferable dwelling places, having with better employment opportunities, educational hubs, medical services, recreational facilities, theme parks, and shopping malls etc. Cities are the driving forces for any national economy too. Unfortunately now a days, these cities are producing circa 70% of pollutants, even though they only occupy 2% of surface of the Earth. Public utility services cannot meet the demands of unexpected growth. The filthiness in cities causing decreasing of Quality of Life. In this light our research paper is giving more concentration on necessity of “Smart Cities”, which are the basis for civic centric services. This article is throwing light on Smart Cities and its important roles. The beauty of this manuscript is scribbling “Smart Cities” concepts in pictorially. Moreover this explains on“Barcelona Smart City”using Internet of Things Technologies”. It is a good example in urban paradigm shift. Bracelona is like the heaven on the earth with by providing Quality of Life to all urban citizens. The GOD is Interenet of Things. Related Articles | Metrics

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A Survey on Low Complexity Detectors for OTFS Systems ZHANG Zhengquan, LIU Heng, WANG Qianli, FAN Pingzhi ZTE Communications    2021, 19 (4): 3-15.   DOI: 10.12142/ZTECOM.202104002 Abstract （176）   HTML （11）    PDF （1427KB）（636）       Knowledge map    Save The newly emerging orthogonal time frequency space (OTFS) modulation can obtain delay-Doppler diversity gain to significantly improve the system performance in high mobility wireless communication scenarios such as vehicle-to-everything (V2X), high-speed railway and unmanned aerial vehicles (UAV), by employing inverse symplectic finite Fourier transform (ISFFT) and symplectic finite Fourier transform (SFFT). However, OTFS modulation will dramatically increase system complexity, especially at the receiver side. Thus, designing low complexity OTFS receiver is a key issue for OTFS modulation to be adopted by new-generation wireless communication systems. In this paper, we review low complexity OTFS detectors and provide some insights on future researches. We firstly present the OTFS system model and basic principles, followed by an overview of OTFS detector structures, classifications and comparative discussion. We also survey the principles of OTFS detection algorithms. Furthermore, we discuss the design of hybrid OTFS and orthogonal frequency division multiplexing (OFDM) detectors in single user and multi-user multi-waveform communication systems. Finally, we address the main challenges in designing low complexity OTFS detectors and identify some future research directions. Table and Figures | Reference | Related Articles | Metrics

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Signal Detection and Channel Estimation in OTFS NAIKOTI Ashwitha, CHOCKALINGAM Ananthanarayanan ZTE Communications    2021, 19 (4): 16-33.   DOI: 10.12142/ZTECOM.202104003 Abstract （369）   HTML （11）    PDF （2749KB）（610）       Knowledge map    Save Orthogonal time frequency space (OTFS) modulation is a recently proposed modulation scheme that exhibits robust performance in high-Doppler environments. It is a two-dimensional modulation scheme where information symbols are multiplexed in the delay-Doppler (DD) domain. Also, the channel is viewed in the DD domain where the channel response is sparse and time-invariant for a long time. This simplifies channel estimation in the DD domain. This paper presents an overview of the state-of-the-art approaches in OTFS signal detection and DD channel estimation. We classify the signal detection approaches into three categories, namely, low-complexity linear detection, approximate maximum a posteriori (MAP) detection, and deep neural network (DNN) based detection. Similarly, we classify the DD channel estimation approaches into three categories, namely, separate pilot approach, embedded pilot approach, and superimposed pilot approach. We compile and present an overview of some of the key algorithms under these categories and illustrate their performance and complexity attributes. Table and Figures | Reference | Related Articles | Metrics

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A Novel 28 GHz Phased Array Antenna for 5G Mobile Communications LI Yezhen, REN Yongli, YANG Fan, XU Shenheng, ZHANG Jiannian ZTE Communications    2020, 18 (3): 20-25.   DOI: 10.12142/ZTECOM.202003004 Abstract （193）   HTML （74）    PDF （3130KB）（609）       Knowledge map    Save A novel phased array antenna consisting of 256 elements is presented and experimentally verified for 5G millimeter-wave wireless communications. The antenna integrated with a wave control circuit can perform real-time beam scanning by reconfiguring the phase of an antenna unit. The unit, designed at 28 GHz using a simple patch structure with one PIN diode, can be electronically controlled to generate 1 bit phase quantization. A prototype of the antenna is fabricated and measured to demonstrate the feasibility of this approach. The measurement results indicate that the antenna achieves high gain and fast beam-steering, with the scan beams within ±60° range and the maximum gain up to 21.7 dBi. Furthermore, it is also tested for wireless video transmission. In ZTE Shanghai, the antenna was used for the 5G New Radio (NR) test. The error vector magnitude (EVM) is less than 3% and the adjacent channel leakage ratio (ACLR) less than -35 dBc, which can meet 5G system requirements. Compared with the conventional phased array antenna, the proposed phased array has the advantages of low power consumption, low cost and conformal geometry. Due to these characteristics, the antenna is promising for wide applications in 5G millimeter-wave communication systems. Table and Figures | Reference | Related Articles | Metrics

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Enabling Energy Efficiency in 5G Network LIU Zhuang, GAO Yin, LI Dapeng, CHEN Jiajun, HAN Jiren ZTE Communications    2021, 19 (1): 20-29.   DOI: 10.12142/ZTECOM.202101004 Abstract （205）   HTML （5）    PDF （1356KB）（527）       Knowledge map    Save The mobile Internet and Internet of Things are considered the main driving forces of 5G, as they require an ultra-dense deployment of small base stations to meet the increasing traffic demands. 5G new radio (NR) access is designed to enable denser network deployments, while leading to a significant concern about the network energy consumption. Energy consumption is a main part of network operational expense (OPEX), and base stations work as the main energy consumption equipment in the radio access network (RAN). In order to achieve RAN energy efficiency (EE), switching off cells is a strategy to reduce the energy consumption of networks during off-peak conditions. This paper introduces NR cell switching on/off schemes in 3GPP to achieve energy efficiency in 5G RAN, including intra-system energy saving (ES) scheme and inter-system ES scheme. Additionally, NR architectural features including central unit/distributed unit (CU/DU) split and dual connectivity (DC) are also considered in NR energy saving. How to apply artificial intelligence (AI) into 5G networks is a new topic in 3GPP, and we also propose a machine learning (ML) based scheme to save energy by switching off the cell selected relying on the load prediction. According to the experiment results in the real wireless environment, the ML based ES scheme can reduce more power consumption than the conventional ES scheme without load prediction. Table and Figures | Reference | Related Articles | Metrics

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A Survey on Machine Learning Based Proactive Caching Stephen ANOKYE, Mohammed SEID, SUN Guolin ZTE Communications    2019, 17 (4): 46-55.   DOI: 10.12142/ZTECOM.201904007 Abstract （526）   HTML （205）    PDF （1032KB）（520）       Knowledge map    Save The world today is experiencing an enormous increase in data traffic, coupled with demand for greater quality of experience (QoE) and performance. Increasing mobile traffic leads to congestion of backhaul networks. One promising solution to this problem is the mobile edge network (MEN) and consequently mobile edge caching. In this paper, a survey of mobile edge caching using machine learning is explored. Even though a lot of work and surveys have been conducted on mobile edge caching, our efforts in this paper are rather focused on the survey of machine learning based mobile edge caching. Issues affecting edge caching, such as caching entities, caching policies and caching algorithms, are discussed. The machine learning algorithms applied to edge caching are reviewed followed by a discussion on the challenges and future works in this field. This survey shows that edge caching can reduce delay and subsequently the backhaul traffic of the network; most caching is conducted at the small base stations (SBSs) and caching at unmanned aerial vehicles (UAVs) is recently used to accommodate mobile users who dissociate from SBSs. This survey also demonstrates that machine learning approach is the state of the art and reinforcement learning is predominant. Table and Figures | Reference | Related Articles | Metrics

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An Overview of Non-Orthogonal Multiple Access Anass Benjebbour ZTE Communications    2017, 15 (S1): 21-30.   DOI: 10.3969/j.issn.1673-5188.2017.S1.003 Abstract （482）   HTML （120）    PDF （519KB）（507）       Knowledge map    Save In recent years, non-orthogonal multiple access (NOMA) has attracted a lot of attention as a novel and promising power-domain user multiplexing scheme for Long-Term Evolution (LTE) enhancement and 5G. NOMA is able to contribute to the improvement of the tradeoff between system capacity and user fairness (i.e., cell-edge user experience). This improvement becomes in particular emphasized in a cellular system where the channel conditions vary significantly among users due to the near-far effect. In this article, we provide an overview of the concept, design and performance of NOMA. In addition, we review the potential benefits and issues of NOMA over orthogonal multiple access (OMA) such as orthogonal frequency division multiple access (OFDMA) adopted by LTE, and the status of 3GPP standardization related to NOMA. Table and Figures | Reference | Related Articles | Metrics

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Big-Data Processing Techniques and Their Challenges in Transport Domain Aftab Ahmed Chandio, Nikos Tziritas, Cheng-Zhong Xu ZTE Communications    2015, 13 (1): 50-59.   DOI: 10.3969/j.issn.1673-5188.2015.01.007 Abstract （356）      PDF （453KB）（507）       Knowledge map    Save This paper describes the fundamentals of cloud computing and current big-data key technologies. We categorize big-data processing as batch-based, stream-based, graph-based, DAG-based, interactive-based, or visual-based according to the processing technique. We highlight the strengths and weaknesses of various big-data cloud processing techniques in order to help the big-data community select the appropriate processing technique. We also provide big data research challenges and future directions in aspect to transportation management systems. Related Articles | Metrics

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Recent Developments of Transmissive Reconfigurable Intelligent Surfaces: A Review TANG Junwen, XU Shenheng, YANG Fan, LI Maokun ZTE Communications    2022, 20 (1): 21-27.   DOI: 10.12142/ZTECOM.202201004 Abstract （180）   HTML （15）    PDF （1869KB）（503）       Knowledge map    Save Reconfigurable intelligent surface (RIS) is considered as one of the key technologies for the next-generation mobile communication systems. The transmissive RIS is able to achieve dynamic beamforming capability while transmitting an in-band RF signal through its aperture, and has promising prospects in various practical application scenarios. This paper reviews some of the latest developments of the transmissive RIS. The approaches for transmissive RIS designs are classified and described briefly. Numerous designs with different phase resolutions, such as 1-bit, 2-bit or continuous 360° phase shifts, are presented, with detailed discussions on their operating mechanisms and transmission performances. The design solutions for various transmissive RIS elements are summarized and compared. Table and Figures | Reference | Related Articles | Metrics

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5G New Radio: Physical Layer Overview YUAN Yifei, WANG Xinhui ZTE Communications    2017, 15 (S1): 3-10.   DOI: 10.3969/j.issn.1673-5188.2017.S1.001 Abstract （502）   HTML （115）    PDF （494KB）（471）       Knowledge map    Save This paper provides an overview of the physical layer of 5G new radio (NR) system. A general framework of 5G NR is first described, which glues together various key components, all of them helping to fulfill the requirements of three major deployment scenarios: enhanced mobile broadband (eMBB), ultra-reliable low latency communications (URLLC) and massive machine type communications (mMTC). Then, several key components of the 5G NR physical layer are discussed in more detail that include multiple access, channel coding, multiple antennas, frame structures, and initial access. The two-phase approach of NR is also discussed and the key technologies expected to be specified in Phase 1 and Phase 2 are listed. Table and Figures | Reference | Related Articles | Metrics

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A Network Traffic Prediction Method Based on LSTM WANG Shihao, ZHUO Qinzheng, YAN Han, LI Qianmu, QI Yong ZTE Communications    2019, 17 (2): 19-25.   DOI: 10.12142/ZTECOM.201902004 Abstract （477）   HTML （104）    PDF （1526KB）（446）       Knowledge map    Save As the network sizes continue to increase, network traffic grows exponentially. In this situation, how to accurately predict network traffic to serve customers better has become one of the issues that Internet service providers care most about. Current traditional network models cannot predict network traffic that behaves as a nonlinear system. In this paper, a long short-term memory (LSTM) neural network model is proposed to predict network traffic that behaves as a nonlinear system. According to characteristics of autocorrelation, an autocorrelation coefficient is added to the model to improve the accuracy of the prediction model. Several experiments were conducted using real-world data, showing the effectiveness of LSTM model and the improved accuracy with autocorrelation considered. The experimental results show that the proposed model is efficient and suitable for real-world network traffic prediction. Table and Figures | Reference | Related Articles | Metrics

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A Distributed In-Memory Database Solution for Mass Data Applications Dong Hao, Luo Shengmei, Zhang Hengsheng ZTE Communications    2010, 8 (4): 45-48.   Abstract （143）      PDF （576KB）（438）       Knowledge map    Save In this paper, a Distributed In-Memory Database (DIMDB) system is proposed to improve processing efficiency in mass data applications. The system uses an enhanced language similar to Structured Query Language (SQL) with a key-value storage schema. The design goals of the DIMDB system is described and its system architecture is discussed. Operation flow and the enhanced SQL-like language are also discussed, and experimental results are used to test the validity of the system. Related Articles | Metrics

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Reliable and Privacy-Preserving Federated Learning with Anomalous Users ZHANG Weiting, LIANG Haotian, XU Yuhua, ZHANG Chuan ZTE Communications    2023, 21 (1): 15-24.   DOI: 10.12142/ZTECOM.202301003 Abstract （73）   HTML （11）    PDF （1351KB）（416）       Knowledge map    Save Recently, various privacy-preserving schemes have been proposed to resolve privacy issues in federated learning (FL). However, most of them ignore the fact that anomalous users holding low-quality data may reduce the accuracy of trained models. Although some existing works manage to solve this problem, they either lack privacy protection for users’ sensitive information or introduce a two-cloud model that is difficult to find in reality. A reliable and privacy-preserving FL scheme named reliable and privacy-preserving federated learning (RPPFL) based on a single-cloud model is proposed. Specifically, inspired by the truth discovery technique, we design an approach to identify the user’s reliability and thereby decrease the impact of anomalous users. In addition, an additively homomorphic cryptosystem is utilized to provide comprehensive privacy preservation (user’s local gradient privacy and reliability privacy). We give rigorous theoretical analysis to show the security of RPPFL. Based on open datasets, we conduct extensive experiments to demonstrate that RPPEL compares favorably with existing works in terms of efficiency and accuracy. Table and Figures | Reference | Related Articles | Metrics

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IVI/MAP-T/MAP-E: Unified IPv4/IPv6 Stateless Translation and Encapsulation Technologies Congxiao Bao and Xing Li ZTE Communications    2013, 11 (3): 51-55.   DOI: DOI:10.3969/j.issn.1673-5188.2013.03.009 Abstract （74）      PDF （363KB）（415）       Knowledge map    Save Stateless translation and stateless double translation/encapsulation technologies (IVI/MAP-T/MAP-E) define the address mapping and protocol translation/encapsulation algorithms between IPv4 and IPv6. IVI/MAP-T/MAP-E technologies maintain end-to-end address transparency between IPv4 and IPv6 and support communication initiated by IPv4-only or IPv6-only end systems. Therefore, they are the very critical techniques for the IPv4/IPv6 coexistence and transition. Related Articles | Metrics

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Security Enhanced Internet of Vehicles with Cloud-Fog-Dew Computing MENG Ziqian, GUAN Zhi, WU Zhengang, LI Anran, CHEN Zhong ZTE Communications    2017, 15 (S2): 47-51.   DOI: 10.3969/j.issn.1673-5188.2017.S2.008 Abstract （317）   HTML （178）    PDF （324KB）（406）       Knowledge map    Save The Internet of Vehicles (IoV) is becoming an essential factor in the development of smart transportation and smart city projects. The IoV technology consists of the concepts of fog computing and dew computing, which involve on-board units and road side units in the edge network, as well as the concept of cloud computing, which involves the data center that provides service. The security issues are always an important concern in the design of IoV architecture. To achieve a secure IoV architecture, some security measures are necessary for the cloud computing and fog computing associated with the vehicular network. In this paper, we summarize some research works on the security schemes in the vehicular network and cloud-fog-dew computing platforms which the IoV depends on. Table and Figures | Reference | Related Articles | Metrics

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Boundary Data Augmentation for Offline Reinforcement Learning SHEN Jiahao, JIANG Ke, TAN Xiaoyang ZTE Communications    2023, 21 (3): 29-36.   DOI: 10.12142/ZTECOM.202303005 Abstract （192）   HTML （20）    PDF （1865KB）（402）       Knowledge map    Save Offline reinforcement learning (ORL) aims to learn a rational agent purely from behavior data without any online interaction. One of the major challenges encountered in ORL is the problem of distribution shift, i.e., the mismatch between the knowledge of the learned policy and the reality of the underlying environment. Recent works usually handle this in a too pessimistic manner to avoid out-of-distribution (OOD) queries as much as possible, but this can influence the robustness of the agents at unseen states. In this paper, we propose a simple but effective method to address this issue. The key idea of our method is to enhance the robustness of the new policy learned offline by weakening its confidence in highly uncertain regions, and we propose to find those regions by simulating them with modified Generative Adversarial Nets (GAN) such that the generated data not only follow the same distribution with the old experience but are very difficult to deal with by themselves, with regard to the behavior policy or some other reference policy. We then use this information to regularize the ORL algorithm to penalize the overconfidence behavior in these regions. Extensive experiments on several publicly available offline RL benchmarks demonstrate the feasibility and effectiveness of the proposed method. Table and Figures | Reference | Related Articles | Metrics

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Towards Converged Millimeter-Wave/TerahertzWireless Communication and Radar Sensing GAO Xiang, MUHAMMAD Saqlain, CAO Xiaoxiao, WANG Shiwei, LIU Kexin, ZHANG Hangkai, YU Xianbin ZTE Communications    2020, 18 (1): 73-82.   DOI: 10.12142/ZTECOM.202001011 Abstract （210）   HTML （49）    PDF （1219KB）（391）       Knowledge map    Save Converged communication and radar sensing systems have attained increasing attention in recent years. The development of converged radar-data systems is reviewed, with a special focus on millimeter/terahertz systems as a promising trend. Firstly, we present historical development and convergence technology concept for communication-radar systems, and highlight some emerging technologies in this area. We then provide an updated and comprehensive survey of several converged systems operating in different microwave and millimeter frequency bands, by providing some selective typical communication and radar sensing systems. In this part, we also summarize and compare the system performance in terms of maximum range/range resolution for radar mode and Bit Error Rate (BER) /wireless distance for communication mode. In the last section, the convergence of millimeter/terahertz communication-radar system is concluded by analyzing the prospect of millimeter-wave/terahertz technologies in providing ultrafast data rates and high resolution for our smart future. Table and Figures | Reference | Related Articles | Metrics

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Cooperative Intelligence for Autonomous Driving CHENG Xiang, DUAN Dongliang, YANG Liuqing, ZHENG Nanning ZTE Communications    2019, 17 (2): 44-50.   DOI: 10.12142/ZTECOM.201902007 Abstract （226）   HTML （25）    PDF （983KB）（387）       Knowledge map    Save Autonomous driving is an emerging technology attracting interests from various sectors in recent years. Most of existing work treats autonomous vehicles as isolated individuals and has focused on developing separate intelligent modules. In this paper, we attempt to exploit the connectivity among vehicles and propose a systematic framework to develop autonomous driving techniques. We first introduce a general hierarchical information fusion framework for cooperative sensing to obtain global situational awareness for vehicles. Following this, a cooperative intelligence framework is proposed for autonomous driving systems. This general framework can guide the development of data collection, sharing and processing strategies to realize different intelligent functions in autonomous driving. Table and Figures | Reference | Related Articles | Metrics

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OTFS Enabled NOMA for MMTC Systems over LEO Satellite MA Yiyan, MA Guoyu, WANG Ning, ZHONG Zhangdui, AI Bo ZTE Communications    2021, 19 (4): 63-70.   DOI: 10.12142/ZTECOM.202104007 Abstract （136）   HTML （6）    PDF （528KB）（386）       Knowledge map    Save As a complement of terrestrial networks, non-terrestrial networks (NTN) have advantages of wide-area coverage and service continuity. The NTN is potential to play an important role in the 5G new radio (NR) and beyond. To enable the massive machine type communications (mMTC), the low earth orbit (LEO) satellite is preferred due to its lower transmission delay and path loss. However, the LEO satellite may generate notable Doppler shifts to degrade the system performance. Recently, orthogonal time frequency space (OTFS) modulation has been proposed. It provides the opportunity to allocate delay Doppler (DD) domain resources, which is promising for mitigating the effect of high mobility. Besides, as the LEO satellite constellation systems such as Starlink are thriving, the space spectrum resources have become increasingly scarce. Therefore, non-orthogonal multiple access (NOMA) is considered as a candidate technology to realize mMTC with limited spectrum resources. In this paper, the application of OTFS enabled NOMA for mMTC over the LEO satellite is investigated. The LEO satellite based mMTC system and the OTFS-NOMA schemes are described. Subsequently, the challenges of applying OTFS and NOMA into LEO satellite mMTC systems are discussed. Finally, the potential technologies for the systems are investigated. Table and Figures | Reference | Related Articles | Metrics

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Cloud Computing, Fog Computing, and Dew Computing PAN Yi, LUO Guangchun ZTE Communications    2017, 15 (4): 1-2.   Abstract （187）   HTML （29）    PDF （203KB）（384）       Knowledge map    Save Reference | Related Articles | Metrics

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Introduction to Point Cloud Compression XU Yiling, ZHANG Ke, HE Lanyi, JIANG Zhiqian, ZHU Wenjie ZTE Communications    2018, 16 (3): 3-8.   DOI: 10.19729/j.cnki.1673-5188.2018.03.002 Abstract （262）   HTML （200）    PDF （368KB）（368）       Knowledge map    Save Characterized by geometry and photometry attributes, point cloud has been widely applied in the immersive services of various 3D objects and scenes. The development of even more precise capture devices and the increasing requirements for vivid rendering inevitably induce huge point capacity, thus making the point cloud compression a demanding issue. In this paper, we introduce several well-known compression algorithms in the research area as well as the boosting industry standardization works. Specifically, based on various applications of this 3D data, we summarize the static and dynamic point cloud compression, both including irregular geometry and photometry information that represent the spatial structure information and corresponding attributes, respectively. In the end, we conclude the point cloud compression as a promising topic and discuss trends for future works. Table and Figures | Reference | Related Articles | Metrics

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An OS for Internet of Everything: Early Experience from A Smart Home Prototype CAO Jie, XU Lanyu, Raef Abdallah, SHI Weisong ZTE Communications    2017, 15 (4): 12-22.   DOI: 10.3969/j.issn.1673-5188.2017.04.002 Abstract （112）   HTML （26）    PDF （543KB）（365）       Knowledge map    Save The proliferation of the Internet of Everything (IoE) has pulled computing to the edge of the network, such as smart homes, autonomous vehicles, robots, and so on. The operating system as the manager of the computing resources, is also facing new challenges. For IoE systems and applications, an innovative operating system is missing to support services, collect data, and manage the things. However, IoE applications are all around us and increasingly becoming a necessity rather than a luxury. Therefore, it is important that the process of configuring and adding devices to the IoE is not a complex one. The ease of installation, operation, and maintenance of devices on the network unarguably plays an important role in the wide spread use of IoE devices in smart homes and everywhere else. In this paper, we propose Sofie, which is a smart operating system for the IoE. We also give the design of Sofie. Sofie can be implemented via different IoT systems, such as Home Assistant, openHAB, and so on. In order to implement Sofie to get some early experience, we leverage Home Assistant to build a prototype for the smart home. Our work shows that Sofie could be helpful for practitioners to better manage their IoE systems. Table and Figures | Reference | Related Articles | Metrics

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Recent Progress in Research and Development of Reconfigurable Intelligent Surface YUAN Yifei, GU Qi, WANG Anna, WU Dan, LI Ya ZTE Communications    2022, 20 (1): 3-13.   DOI: 10.12142/ZTECOM.202201002 Abstract （152）   HTML （27）    PDF （2269KB）（360）       Knowledge map    Save We aim to provide a comprehensive overview of the progress in research and development of the reconfigurable intelligent surface (RIS) over the last 2–3 years in this paper, especially when the RIS is used as relays in next-generation mobile networks. Major areas of research in academia are outlined, including fundamental performance, channel estimation, joint optimization with antenna precoding at base stations, propagation channel modeling and meta-material devices of RIS elements. Development in industry is surveyed from the aspects of performance potentials and issues, realistic joint optimization algorithms, control mechanisms, field trials and related activities in standardization development organizations (SDOs). Our views on how to carry out the engineering-aspect study on RIS for 6G systems are also presented, which cover the realistic performance, the comparison with other topological improvements, approaches for channel modeling, factors for designing control mechanisms and the timeline for RIS standardization. Table and Figures | Reference | Related Articles | Metrics

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Near-Field Beam Training for Holographic MIMO Communications: Typical Methods, Challenges and Future Directions SHEN Jiayu, YANG Jun, ZHU Chen, DENG Zhiji, HUANG Chongwen ZTE Communications    2024, 22 (1): 41-52.   DOI: 10.12142/ZTECOM.202401006 Abstract （71）   HTML （4）    PDF （3394KB）（355）       Knowledge map    Save Holographic multiple-input multiple-output (HMIMO) has become an emerging technology for achieving ultra-high frequency spectral efficiency and spatial resolution in future wireless systems. The increasing antenna aperture leads to a more significant characterization of the spherical wavefront in near-field communications in HMIMO scenarios. Beam training as a key technique for wireless communication is worth exploring in this near-field scenario. Compared with the widely researched far-field beam training, the increased dimensionality of the search space for near-field beam training poses a challenge to the complexity and accuracy of the proposed algorithm. In this paper, we introduce several typical near-field beam training methods: exhaustive beam training, hierarchical beam training, and multi-beam training that includes equal interval multi-beam training and hash multi-beam training. The performances of these methods are compared through simulation analysis, and their effectiveness is verified on the hardware testbed as well. Additionally, we provide application scenarios, research challenges, and potential future research directions for near-field beam training. Table and Figures | Reference | Related Articles | Metrics

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Study on Security of 5G and Satellite Converged Communication Network YAN Xincheng, TENG Huiyun, PING Li, JIANG Zhihong, ZHOU Na ZTE Communications    2021, 19 (4): 79-89.   DOI: 10.12142/ZTECOM.202104009 Abstract （187）   HTML （20）    PDF （1924KB）（351）       Knowledge map    Save The 5G and satellite converged communication network (5G SCCN) is an important component of the integration of satellite-terrestrial networks, the national science, and technology major projects towards 2030. Security is the key to ensuring its operation, but at present, the research in this area has just started in our country. Based on the network characteristics and security risks, we propose the security architecture of the 5G SCCN and systematically sort out the key protection technologies and improvement directions. In particular, unique thinking on the security of lightweight data communication and design reference for the 5G SCCN network architecture is presented. It is expected to provide a piece of reference for the follow-up 5G SCCN security technology research, standard evolution, and industrialization. Table and Figures | Reference | Related Articles | Metrics

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Payload Encoding Representation from Transformer for Encrypted Traffic Classification HE Hongye, YANG Zhiguo, CHEN Xiangning ZTE Communications    2021, 19 (4): 90-97.   DOI: 10.12142/ZTECOM.202104010 Abstract （203）   HTML （23）    PDF （965KB）（351）       Knowledge map    Save Traffic identification becomes more important, yet more challenging as related encryption techniques are rapidly developing nowadays. Unlike recent deep learning methods that apply image processing to solve such encrypted traffic problems, in this paper, we propose a method named Payload Encoding Representation from Transformer (PERT) to perform automatic traffic feature extraction using a state-of-the-art dynamic word embedding technique. By implementing traffic classification experiments on a public encrypted traffic data set and our captured Android HTTPS traffic, we prove the proposed method can achieve an obvious better effectiveness than other compared baselines. To the best of our knowledge, this is the first time the encrypted traffic classification with the dynamic word embedding has been addressed. Table and Figures | Reference | Related Articles | Metrics

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5G New Radio (NR): Standard and Technology Fa-Long Lu ZTE Communications    2017, 15 (S1): 1-2.   Abstract （223）   HTML （11）    PDF （200KB）（349）       Knowledge map    Save Reference | Related Articles | Metrics

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Towards Near-Field Communications for 6G: Challenges and Opportunities LIU Mengyu, ZHANG Yang, JIN Yasheng, ZHI Kangda, PAN Cunhua ZTE Communications    2024, 22 (1): 3-15.   DOI: 10.12142/ZTECOM.202401002 Abstract （130）   HTML （13）    PDF （2702KB）（347）       Knowledge map    Save Extremely large-scale multiple-input multiple-output (XL-MIMO) and terahertz (THz) communications are pivotal candidate technologies for supporting the development of 6G mobile networks. However, these techniques invalidate the common assumptions of far-field plane waves and introduce many new properties. To accurately understand the performance of these new techniques, spherical wave modeling of near-field communications needs to be applied for future research. Hence, the investigation of near-field communication holds significant importance for the advancement of 6G, which brings many new and open research challenges in contrast to conventional far-field communication. In this paper, we first formulate a general model of the near-field channel and discuss the influence of spatial nonstationary properties on the near-field channel modeling. Subsequently, we discuss the challenges encountered in the near field in terms of beam training, localization, and transmission scheme design, respectively. Finally, we point out some promising research directions for near-field communications. Table and Figures | Reference | Related Articles | Metrics

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Performance of LDPC Coded OTFS Systems over High Mobility Channels ZHANG Chong, XING Wang, YUAN Jinhong, ZHOU Yiqing ZTE Communications    2021, 19 (4): 45-53.   DOI: 10.12142/ZTECOM.202104005 Abstract （86）   HTML （12）    PDF （1808KB）（343）       Knowledge map    Save The upcoming 6G wireless networks have to provide reliable communications in high-mobility scenarios at high carrier frequencies. However, high-mobility or high carrier frequencies will bring severe inter-carrier interference (ICI) to conventional orthogonal frequency-division multiplexing (OFDM) modulation. Orthogonal time frequency space (OTFS) modulation is a recently developing multi-carrier transmission scheme for wireless communications in high-mobility environments. This paper evaluates the performance of coded OTFS systems. In particular, we consider 5G low density parity check (LDPC) codes for OTFS systems based on 5G OFDM frame structures over high mobility channels. We show the performance of the OTFS systems with 5G LDPC codes when sum-product detection algorithm and iterative detection and decoding are employed. We also illustrate the effect of channel estimation error on the performance of the LDPC coded OTFS systems. Table and Figures | Reference | Related Articles | Metrics

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Signal Processing Techniques for 5G: An Overview Fa-Long Luo ZTE Communications    2015, 13 (1): 20-27.   DOI: 10.3969/j.issn.1673-5188.2015.01.003 Abstract （250）      PDF （401KB）（340）       Knowledge map    Save This paper gives an outline of the algorithms and implementation of the main signal processing techniques being developed for 5G wireless communication. The first part contains a review and comparison of six orthogonal and non-orthogonal waveform-generation and modulation schemes: generalized frequency-division multiplexing (GFDM), filter-bank multicarrier (FBMC), universal filtered multicarrier (UFMC), bi-orthogonal frequency-division multiplexing (BFDM), sparse-code multiple-access (SCMA), and non-orthogo-nal multiple access (NOMA). The second part discusses spatial signal processing algorithms and implementations for massive multiple-input multiple-output (massive-MIMO), 3D beamforming and diversity, and orbital angular momentum (OAM) based multi-plexing. The last part gives an overview of signal processing aspects of other emerging techniques in 5G, such as millimeter-wave, cloud radio access networks, full duplex mode, and digital radio-frequency processing. Related Articles | Metrics

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Cloud Storage Technology and Its Applications Zhou Ke, Wang Hua, Li Chunhua ZTE Communications    2010, 8 (4): 27-30.   Abstract （437）      PDF （521KB）（337）       Knowledge map    Save Cloud storage employs software that interconnects and facilitates collaboration between different types of storage devices. Compared with traditional storage methods, cloud storage poses new challenges in data security, reliability, and management. This paper introduces four layers of cloud storage architecture: data storage layer (connecting multiple storage components), data management layer (providing common support technology for multiple services), data service layer (sustaining multiple storage applications), and user access layer. A typical cloud storage application—Backup Cloud (B-Cloud)—is examined and its software architecture, characteristics, and main research areas are discussed. Related Articles | Metrics

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Log Anomaly Detection Through GPT-2 for Large Scale Systems JI Yuhe, HAN Jing, ZHAO Yongxin, ZHANG Shenglin, GONG Zican ZTE Communications    2023, 21 (3): 70-76.   DOI: 10.12142/ZTECOM.202303010 Abstract （115）   HTML （9）    PDF （537KB）（334）       Knowledge map    Save As the scale of software systems expands, maintaining their stable operation has become an extraordinary challenge. System logs are semi-structured text generated by the recording function in the source code and have important research significance in software service anomaly detection. Existing log anomaly detection methods mainly focus on the statistical characteristics of logs, making it difficult to distinguish the semantic differences between normal and abnormal logs, and performing poorly on real-world industrial log data. In this paper, we propose an unsupervised framework for log anomaly detection based on generative pre-training-2 (GPT-2). We apply our approach to two industrial systems. The experimental results on two datasets show that our approach outperforms state-of-the-art approaches for log anomaly detection. Table and Figures | Reference | Related Articles | Metrics

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Cloud Computing(4) Wang Bai, Xu Liutong ZTE Communications    2010, 8 (4): 57-60.   Abstract （55）      PDF （408KB）（323）       Knowledge map    Save Related Articles | Metrics

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100G Ethernet Technology and Applications Zhang Yuanwang ZTE Communications    2009, 7 (4): 54-57.   Abstract （146）      PDF （297KB）（316）       Knowledge map    Save The increasing requirements for bandwidth drive the 100G Ethernet into use as quickly as possible. The major technologies supporting 100G Ethernet interface include the physical layer channel convergence technology, multi-fiber channel and Wavelength Division Multiplexing (WDM ) technology. The key technology for high-speed optical devices at the interface requires a breakthrough. The demands driven by the increase of interface rate require better packet processing and storage, system switching, and backplane technology. In addition, in the network, the transport problem of the new interface should be solved, including defining transport standards and pushing the development of key transport technologies. As far as the cost and requirements are concerned, the commercial application of 100G Ethernet is viable in Metropolitan Area Networks (MANs ). Related Articles | Metrics