Announcement

• 《ZTE Communications》

  2022—2023年文章列表（参考文献格式）

  （按Ctrl并单击可链接原文）

  2022年

  第S1期：

  Research Paper

  [1] L. Y. Duan, H. L. Lu, J. J. Qi, et al., “An improved parasitic parameters extraction method for InP HEMT,” ZTE Communications, vol. 20, no. S1, pp. 01–06, Jan. 2022. doi: 10.12142/ZTECOM.2022S1001.

  [2] Z. P. Zhao, Y. L. Zhao, B. Y. Yan, et al., “Auxiliary fault location on commercial equipment based on supervised machine learning,” ZTE Communications, vol. 20, no. S1, pp. 07–15, Jan. 2022. doi: 10.12142/ZTECOM.2022S1002.

  [3] X. Y. Shi, T. Z. Han, H. Tian, et al., “Design of raptor-like rate compatible SC-LDPC codes,” ZTE Communications, vol. 20, no. S1, pp. 16–21, Jan. 2022. doi: 10.12142/ZTECOM.2022S1003.

  [4] X. Y. Yi, J. X. Chen, P. Chen, et al., “Derivative-based envelope design technique for wideband envelope tracking power amplifier with digital predistortion,” ZTE Communications, vol. 20, no. S1, pp. 22–26, Jan. 2022. doi: 10.12142/ZTECOM.2022S1004.

  [5] D. Y. Li, Y. F. Tu, X. S. Zhou, et al., “End-to-end Chinese entity recognition based on BERT-BiLSTM-ATT-CRF,” ZTE Communications, vol. 20, no. S1, pp. 27–35, Jan. 2022. doi: 10.12142/ZTECOM.2022S1005.

  [6] G. T. Fan and Z. B. Wang, “Intelligent antenna attitude parameters measurement based on deep learning SSD model,” ZTE Communications, vol. 20, no. S1, pp. 36–43, Jan. 2022. doi: 10.12142/ZTECOM.2022S1006.

  [7] Y. J. Xu, Q. C. Zhao, X. D. Xu, et al., “Multi-task learning with dynamic splitting for open-set wireless signal recognition,” ZTE Communications, vol. 19, no. 4, pp. 44–55, Jan. 2022. doi: 10.12142/ZTECOM.2022S1007.

  [8] H. M. Hu, Y. Liu, Y. Y. Ge, et al., “Multi-cell uplink interference management: A distributed power control method,” ZTE Communications, vol. 20, no. S1, pp. 56–63, Jan. 2022. doi: 10.12142/ZTECOM.2022S1008.

  [9] Z. Y. Li, R. Chen, X. G. Huang, et al., “SVM for constellation shaped 8QAM PON system,” ZTE Communications, vol. 20, no. S1, pp. 64–71, Jan. 2022. doi: 10.12142/ZTECOM.2022S1009.

  Review

  [10] J. R. Han and Y. Gao, “General introduction of non-terrestrial networks for new radio,” ZTE Communications, vol. 20, no. S1, pp. 72–78, Jan. 2022. doi: 10.12142/ZTECOM.2022S1000.

   

   

  第1期：

  Special Topic: Reconfigurable Intelligent Surface (RIS)

  [1] Y. F. Yuan, S. Jin, and M. Di Renzo, “Editorial: special topic on reconfigurable intelligent surface (RIS),” ZTE Communications, vol. 20, no. 1, pp. 1?2, Mar. 2022. doi: 10.12142/ZTECOM.202201001.

  [2] Y. F. Yuan, Q. Gu, A. N. Wang, et al“. Recent progress in research and development of reconfigurable intelligent surface, ” ZTE Communications, vol. 20, no. 1, pp. 3–13, Mar. 2022. doi: 10.12142/ZTECOM.202201002.

  [3] X. L. Hou, X. Li, X. Wang, et al.,“Some observations and thoughts about reconfigurable intelligent surface application for 5G evolution and 6G,” ZTE Communications, vol. 20, no. 1, pp. 14–20, Mar. 2022. doi: 10.12142/ZTECOM.202201003.

  [4] J. W. Tang, S. H. Xu, F. Yang, et al, “Recent developments of transmissive reconfigurable intelligent surfaces: a review, ” ZTE Communications, vol. 20, no. 1, pp. 21–27, Mar. 2022. doi: 10.12142/ZTECOM.202201004.

  [5] X. R. Guan and Q. Q. Wu“, IRS-enabled spectrum sharing: interference modeling, channel estimation and robust passive beamforming, ” ZTE Communications, vol. 20, no. 1, pp. 28–35, Mar. 2022. doi: 10.12142/ZTECOM.202201005.

  [6] Y. J. Xu, Z. H. Yang, C. W. Huang, et al., “Resource allocation for two-tier RIS-assisted heterogeneous NOMA networks,” ZTE Communications, vol. 20, no. 1, pp. 36–47, Mar. 2022. doi: 10.12142/ZTECOM.202201006.

  [7] Z. C. Shao, W. J. Yan, and X. J. Yuan,“ Markovian cascaded channel estimation for RIS aided massive MIMO using 1-bit ADCs and oversampling,” ZTE Communications, vol. 20, no. 1, pp. 48–56, Mar. 2022. doi: 10.12142/ZTECOM.202201007.

  [8] M. N. Jian, N. Zhang, and Y. J. Chen, “RIS: spatial wideband effect analysis and off-grid channel estimation,” ZTE Communications, vol. 20, no. 1, pp. 57–62, Mar. 2022. doi: 10.12142/ZTECOM.202201008.

  [9] M. Y. Zhou, X. Y. Chen, W. K. Tang, et al., “Dual-polarized RIS-based STBC transmission with polarization coupling analysis,” ZTE Communications, vol. 20, no. 1, pp. 63–75, Mar. 2022. doi: 10.12142/ZTECOM.202201009.

   

  Research Paper

  [10] B. Yang, C. L. Guo, and Z. Li, “Metric learning for semantic-based clothes retrieval,”ZTE Communications, vol. 20, no. 1, pp. 76–82, Mar. 2022. doi: 10.12142/ZTECOM.202201010.

   

   

  第2期：

  Special Topic: Simultaneous Wireless Information and Power Transfer: Technology and Practice

  [1] Q. W. Yuan and F.-L. Luo,“Editorial: special topic on simultaneous wireless information and power transfer: technology and practice,” ZTE Communications, vol. 20, no. 2, pp. 1–2, Jun. 2022. doi: 10.12142/ZTECOM.202202001.

  [2] B. Yang, T. Mitani, N. Shinohara, et al., “High-power simultaneous wireless information and power transfer: injection-locked magnetron technology,” ZTE Communications, vol. 20, no. 2, pp. 3–12, Jun. 2022. doi: 10.12142/ZTECOM.202202002.

  [3] R. Torres, D. Matos, F. Pereira, et al., “An overview of SWIPT circuits and systems,” ZTE Communications, vol. 20, no. 2, pp. 13–18, Jun. 2022. doi: 10.12142/ZTECOM.202202003.

  [4] S. Y. Sun and G. Y. Wen, “Optimal design of wireless power transmission systems using antenna arrays,” ZTE Communications, vol. 20, no. 2, pp. 19–27, Jun. 2022. doi: 10.12142/ZTECOM.202202004.

  [5] Q.-T. Duong, Q.-T. Vo, T.-P. Phan, et al., “Dynamic power transmission using common RF feeder with dual supply,” ZTE Communications, vol. 20, no. 2, pp. 28–36, Jun. 2022. doi: 10.12142/ZTECOM.202202005.

  [6] J. Shen, T. X. Zhao, and X. G. Liu, “Polarization reconfigurable patch antenna for wireless power transfer related applications,” ZTE Communications, vol. 20, no. 2, pp. 37–42, Jun. 2022. doi: 10.12142/ZTECOM.202202006.

  [7] X. Wang, W. B. Li, and M. Y. Lu, “A radio-frequency loop resonator for short-range wireless power transmission,” ZTE Communications, vol. 20, no. 2, pp. 43–47, Jun. 2022. doi: 10.12142/ZTECOM.202202007.

   

  Review

  [8] M. Y. Chang, J. Q. Han, X. J. Ma, et al., “Programmable metasurface for simultaneously wireless information and power transfer system,” ZTE Communications, vol. 20, no. 2, pp. 48–62, Jun. 2022. doi: 10.12142/ZTECOM.202202008.

   

   

   

  第3期：

  Special Topic: Federated Learning for IoT and Edge Computing

  [1] Y. Pan, L. Z. Cui, Z. P. Cai, and W. Li, “Editorial: special topic on federated learning for IoT and edge computing,” ZTE Communications, vol. 20, no. 3, pp. 1–2, Sept. 2022. doi: 10.12142/ZTECOM.202203001.

  [2] Y. C. Nan, M. H. Fang, X. J. Zou, et al., “A collaborative medical diagnosis system without sharing patient data,” ZTE Communications, vol. 20, no. 3, pp. 3–16, Sept. 2022. doi: 10.12142/ZTECOM.202203002.

  [3] X. M. Han, M. H. Gao, L. M. Wang, et al., “A survey of federated learning on non-IID data,” ZTE Communications, vol. 20, no. 3, pp. 17–26, Sept. 2022. doi: 10.12142/ZTECOM.202203003.

  [4] F. Lu, L. Gu, X. H. Tian, et al.,“Federated learning based on extremely sparse series clinic monitoring data,” ZTE Communications, vol. 20, no. 3, pp. 27–34, Sept. 2022. doi: 10.12142/ZTECOM.202203004.

  [5] Q. B. Liu, Z. H. Jin, J. B. Wang, et al., “MSRA-Fed: a communication-efficient federated learning method based on model split and representation aggregate,” ZTE Communications, vol. 20, no. 3, pp. 35–42, Sept. 2022. doi: 10.12142/ZTECOM.202203005.

  [6] B. Tang, C. M. Zhang, K. W. Wang, et al., “Neursafe-FL: a reliable, efficient, easy-to-use federated learning framework,” ZTE Communications, vol. 20, no. 3, pp. 43–53, Sept. 2022. doi: 10.12142/ZTECOM.202203006.

   

  Review

  [7] B. L. Yan, Q. Wu, H. Shi, et al., “Toward low-cost flexible intelligent OAM in optical fiber communication networks,” ZTE Communications, vol. 20, no. 3, pp. 54–60, Sept. 2022. doi: 10.12142/ZTECOM.202203007.

   

  Research Paper

  [8] J. T. Zhang, Z. Q. He, H. Rui, et al., “Spectrum sensing for OFDMA using multicarrier covariance matrix aware CNN,” ZTE Communications, vol. 20, no. 3, pp. 61–69, Sept. 2022. doi: 10.12142/ZTECOM.202203008.

  [9] Q. Q. Wu, J. Z. Chen, Z. Q. Wu, et al, “Synthesis and design of 5G duplexer based on optimization method,” ZTE Communications, vol. 20, no. 3, pp. 70–76, Sept. 2022. doi: 10.12142/ZTECOM.202203009.

  [10] X. M. Lyu, H. Chen, Z. Y. Wu, et al., “Alarm-based root cause analysis based on weighted fault propagation topology for distributed information network,” ZTE Communications, vol. 20, no. 3, pp. 77–84, Sept. 2022. doi: 10.12142/ZTECOM.202203010.

  [11] Q. X. Zhang, J. Han, L. Cheng, et al., “Approach to anomaly detection in microservice system with multi-source data streams,” ZTE Communications, vol. 20, no. 3, pp. 85–92, Sept. 2022. doi: 10.12142/ZTECOM.202203011.

  [12] Z. Q. Cui, G. P. Wang, Z. G. Wang, et al., “Symbiotic radio systems: detection and performance analysis,” ZTE Communications, vol. 20, no. 3, pp. 93–98, Sept. 2022. doi: 10.12142/ZTECOM.202203012.

   

   

   

  第4期：

  Special Topic: Wireless Communication and Its Security: Challenges and Solutions

  [1] K. Ren and Z. B. Wang, “Editorial: wireless communication and its security: challenges and solutions,” ZTE Communications, vol. 20, no. 4, pp. 1–2, Dec. 2022. doi: 10.12142/ZTECOM.202204001.

  [2] Y. F. Cao, J. N. Cao, Y. Q. Wang, et al., “Security in edge blockchains: attacks and countermeasures,” ZTE Communications, vol. 20, no. 4, pp. 3–14, Dec. 2022. doi: 10.12142/ZTECOM.202204002.

  [3] Z. Tong, B. W. Deng, L. L. Zheng, et al., “Utility-improved key-value data collection with local differential privacy for mobile devices,” ZTE Communications, vol. 20, no. 4, pp. 15–21, Dec. 2022. doi: 10.12142/ZTECOM.202204003.

  [4] H. T. Lu, X. C. Yan, Q. Zhou, et al., “Key intrinsic security technologies in 6G networks,” ZTE Communications, vol. 20, no. 4, pp. 22–31, Dec. 2022. doi: 10.12142/ZTECOM.202204004.

  [5] P. F. Wang, W. Song, G. Sun, et al., “Air-ground integrated low-energy federated learning for secure 6G communications,” ZTE Communications, vol. 20, no. 4, pp. 32–40, Dec. 2022. doi: 10.12142/ZTECOM.202204005.

  [6] M. He, X. M. Li, and J. B. Ni, “Physical layer security for mmwave communications: challenges and solutions,” ZTE Communications, vol. 20, no. 4, pp. 41–51, Dec. 2022. doi: 10.12142/ZTECOM.202204006.

   

  Review

  [7] X. Y. Duan, H. H. Kang, and J. J. Zhang, “Autonomous network technology innovation in digital and intelligent era,” ZTE Communications, vol. 20, no. 4, pp. 52–61, Dec. 2022. doi: 10.12142/ZTECOM.202204007.

   

  Research Paper

  [8] X. B. Ran, Z. J. Dai, K. Zhong, et al., “Broadband sequential load-modulated balanced amplifier using coupler-PA codesign approach,” ZTE Communications, vol. 20, no. 4, pp. 62–68, Dec. 2022. doi: 10.12142/ZTECOM.202204008.

  [9] H. N. Jia, Z. Q. He, W. L. Tan, et al., “Distributed multi-cell multi-user miso downlink beamforming via deep reinforcement learning,” ZTE Communications, vol. 20, no. 4, pp. 69–77, Dec. 2022. doi: 10.12142/ZTECOM.202204009.

  [10] Z. H. Li, S. Q. Yang, J. H. Yu, et al., “Predictive scheme for mixed transmission in time-sensitive networking,” ZTE Communications, vol. 20, no. 4, pp. 78–88, Dec. 2022. doi: 10.12142/ZTECOM.202204010.

  [11] J. J. Mei, T. Guan, and J. W. Tong, “Label enhancement for scene text detection,” ZTE Communications, vol. 20, no. 4, pp. 89–95, Dec. 2022. doi: 10.12142/ZTECOM.202204011.

  [12] N. Z. Gao, Y. F. Yu, X. H. Hua, et al., “A content-aware bitrate selection method using multi-step prediction for 360-degree video streaming,” ZTE Communications, vol. 20, no. 4, pp. 96–109, Dec. 2022. doi: 10.12142/ZTECOM.202204012.

   

   

   

  2023年

  第1期：

  Special Topic: Federated Learning over Wireless Networks

  [1] S. G. Cui, C. C. Yin, and G. X. Zhu, “Editorial: federated learning over wireless networks,” ZTE Communications, vol. 21, no. 1, pp. 1–2, Mar. 2023. doi: 10.12142/ZTECOM.202301001.

  [2] X. Y. Xu, S. L. Liu, and G. D. Yu, “Adaptive retransmission design for wireless federated edge learning,” ZTE Communications, vol. 21, no. 1, pp. 3–14, Mar. 2023. doi: 10.12142/ZTECOM.202301002.

  [3] W. T. Zhang, H. T. Liang, Y. H. Xu, et al., “Reliable and privacy-preserving federated learning with anomalous users,” ZTE Communications, vol. 21, no. 1, pp. 15–24, Mar. 2023. doi: 10.12142/ZTECOM.202301003.

  [4] Y. J. Wang, D. Z. Wen, Y. J. Mao, et al., “RIS-assisted federated learning in multi-cell wireless networks,” ZTE Communications, vol. 21, no. 1, pp. 25–37, Mar. 2022. doi: 10.12142/ZTECOM.202301004.

  [5] J. T. Yan, T. Chen, B. W. Xie, et al., “Hierarchical federated learning: architecture, challenges, and its implementation in vehicular networks,” ZTE Communications, vol. 21, no. 1, pp. 38–45, Mar. 2022. doi: 10.12142/ZTECOM.202301005.

  [6] Y. H. Ding, M. Shikh-Bahaei, Z. H. Yang, et al., “Secure federated learning over wireless communication networks with model compression,” ZTE Communications, vol. 21, no. 1, pp. 46–54, Mar. 2022. doi: 10.12142/ZTECOM.202301006

  Research Paper

  [7] R. Huang, H. L. Li, and Y. M. Zhang, “Efficient bandwidth allocation and computation configuration in industrial IoT,” ZTE Communications, vol. 21, no. 1, pp. 55–63, Mar. 20223. doi: 10.12142/ZTECOM.202301007.

  [8] J. G. Lu and Q. F. Zheng, “Ultra-lightweight face animation method for ultra-low bitrate video conferencing,” ZTE Communications, vol. 21, no. 1, pp. 64–71, Mar. 2022. doi: 10.12142/ZTECOM.202301008.

  [9] W. B. Cai, S. L. Yang, G. Sun, et al., “Adaptive load balancing for parameter servers in distributed machine learning over heterogeneous networks,” ZTE Communications, vol. 21, no. 1, pp. 72–80, Mar. 2023. doi: 10.12142/ZTECOM.202301009.

  [10] P. Lu, B. Sheng, and W. Z. Shi, “Scene visual perception and AR navigation applications,” ZTE Communications, vol. 21, no. 1, pp. 81–88, Mar. 2023. doi: 10.12142/ZTECOM.202301010.

  [11] Y. F. Tu, B. H. Zhu, H. Z. Yang, et al., “RCache: a read-intensive workload-aware page cache for NVM filesystem,” ZTE Communications, vol. 21, no. 1, pp. 89–94, Mar. 2023. doi: 10.12142/ZTECOM.202301011.

   

  第2期：

  Special Topic: Evolution of AI Enabled Wireless Networks

  [1] L. Wang and Y. Gao, “Editorial: evolution of AI enabled wireless networks,” ZTE Communications, vol. 21, no. 2, pp. 1–2, Jun. 2023. doi: 10.12142/ZTECOM.202302001.

  [2] B. Yang, X. Liang, S. N. Liu, et al., “Intelligent 6G wireless network with multi-dimensional information perception,” ZTE Communications, vol. 21, no. 2, pp. 3–10, Jun. 2023. doi: 10.12142/ZTECOM.202302002.

  [3] L. T. Deng and Y. R. Zhao, “Deep learning-based semantic feature extraction: a literature review and future directions,” ZTE Communications, vol. 21, no. 2, pp. 11–17, Jun. 2023. doi: 10.12142/ZTECOM.202302003.

  [4] Y. N. Yan, Y. Liu, T. Ni, et al., “Content popularity prediction via federated learning in cache-enabled wireless networks,” ZTE Communications, vol. 21, no. 2, pp. 18–24, Jun. 2023. doi: 10.12142/ZTECOM.202302004.

  [5] M. K. Zhao, Y. S. Huang, and X. Li, “Federated learning for 6G: a survey from perspective of integrated sensing, communication and computation,” ZTE Communications, vol. 21, no. 2, pp. 25–33, Jun. 2023. doi: 10.12142/ZTECOM.202302005.

  [6] J. J. Chen, Y. Gao, Z. Liu, et al.,“Future vision on artificial intelligence assisted green energy efficiency network,” ZTE Communications, vol. 21, no. 2, pp. 34–39, Jun. 2023. doi: 10.12142/ZTECOM.202302006.

  [7] U. Awada, J. K. Zhang, S. Chen, et al.,“Machine learning driven latency optimization for Internet of Things applications in edge computing,” ZTE Communications, vol. 21, no. 2, pp. 40–52, Jun 2022. doi: 10.12142/ZTECOM.202302007.

  [8] F. Meng, Y. M. Huang, Z. H. Lu, et al.,“Multi-user mmWave beam tracking via multi-agent deep Q-learning,” ZTE Communications, vol. 21, no. 2, pp. 53–60, Jun. 2023. doi: 10.12142/ZTECOM.202302008.

  [9] Q. You, Q. Xu, X. Yang, et al., “RIS-assisted UAV-D2D communications exploiting deep reinforcement learning,” ZTE Communications, vol. 21, no. 2, pp. 61–69, Jun. 2023. doi: 10.12142/ZTECOM.202302009.

  [10] C. Y. Liu, J. J. Guo, Y. M. Zhang, et al., “SST-V: a scalable semantic transmission framework for video,” ZTE Communications, vol. 21, no. 2, pp. 70–79, Mar. 2023. doi: 10.12142/ZTECOM.202302010.

  [11] Y. T. Li, Y. Ding, J. C. Gao, et al.,“UAV autonomous navigation for wireless powered data collection with onboard deep Q-Network,” ZTE Communications, vol. 21, no. 2, pp. 80–87, Jun. 2023. doi: 10.12142/ZTECOM.202302011.

  Review

  [12] J. X. Chen, P. G. Zhou, J. Y. Yu, et al., “Research towards terahertz power amplifiers in silicon-based process,” ZTE Communications, vol. 21, no. 2, pp. 88–94, Jun. 2023. doi: 10.12142/ZTECOM.202302012.

   

  第3期：

  Special Topic: Reinforcement Learning and Intelligent Decision

  [1] Y. Gao, “Special topic on reinforcement learning and intelligent decision,” ZTE Communications, vol. 21, no. 3, pp. 01–02, Sept. 2023. doi: 10.12142/ZTECOM.202303001.

  [2] M. Ren, R. Y. Xu, and T. Zhu“, Double deep Q-network decoder based on EEG brain-computer interface,” ZTE Communications, vol. 21, no. 3, pp. 03–10, Sept. 2023. doi: 10.12142/ZTECOM.202303002.

  [3] B. Y. Feng, M. X. Feng, M. R. Wang, et al., “Multi-agent hierarchical graph attention reinforcement learning for grid-aware energy management,” ZTE Communications, vol. 21, no. 3, pp. 11–21, Sept. 2023. doi: 10.12142/ZTECOM.202303003.

  [4] J. P. Yu and Y. Y. Chen, “A practical reinforcement learning framework for automatic radar detection,” ZTE Communications, vol. 21, no. 3, pp. 22–28, Sept. 2023. doi: 10.12142/ZTECOM.202303004.

  [5] J. H. Shen, K. Jiang, and X. Y. Tan,“ Boundary data augmentation for offline reinforcement learning,” ZTE Communications, vol. 21, no. 3, pp. 29–36, Sept. 2023. doi: 10.12142/ZTECOM.202303005.

   

  Research Papers

  [6] Z. H. Zhu and Y. P. Zhang,“ Differential quasi-Yagi antenna and array,” ZTE Communications, vol. 21, no. 3, pp. 37–44, Sept. 2023. doi: 10.12142/ZTECOM.202303006.

  [7] X. Y. Xie, Y. P. Wu, Z. F. Yuan, et al.,“ Massive unsourced random access under carrier frequency offset,” ZTE Communications, vol. 21, no. 3, pp. 45–53, Sept. 2023. doi: 10.12142/ZTECOM.202303007.

  [8] L. Cheng, S. Qin, and G. Feng, “Learning-based admission control for low-earth-orbit satellite communication networks,” ZTE Communications, vol. 21, no. 3, pp. 54–62, Sept. 2023. doi: 10.12142/ZTECOM.202303008.

  [9] B. Zhang, Y. H. Wang, Y. N. Feng, et al.,“ A 220-GHz frequency-division multiplexing wireless link with high data rate,” ZTE Communications, vol. 21, no. 3, pp. 63–69, Sept. 2023. doi: 10.12142/ZTECOM.202303009.

  [10] Y. H. Ji, J. Han, Y. X. Zhao, et al.,“ Log anomaly detection through GPT-2 for large scale systems,” ZTE Communications, vol. 21, no. 3, pp. 70–76, Sept. 2023. doi: 10.12142/ZTECOM.202303010.

  [11] Y. T. Zhu, Z. Li, and H. T. Zhang, “Robust beamforming under channel prediction errors for time-varying MIMO system,” ZTE Communications, vol. 21, no. 3, pp. 77–85, Sept. 2023. doi: 10.12142/ZTECOM.202303011.

  [12] H. W. Li, N. J. Bi, and J. Sha, “Design of raptor-like LDPC codes and high throughput decoder towards 100 Gbit/s throughput,” ZTE Communications, vol. 21, no. 3, pp. 86–92, Sept. 2023. doi: 10.12142/ZTECOM.202303012.

  [13] Y. Q. Tang, H. M. Zhang, Z. Zheng, et al., “Hybrid architecture and beamforming optimization for millimeter wave systems,” ZTE Communications, vol. 21, no. 3, pp. 93–104, Sept. 2023. doi: 10.12142/ZTECOM.202303013.

  [14] W. Li, J. K. Ji, Y. L. Liu, et al.,“ Simulation and modeling of common mode EMI noise in planar transformers,” ZTE

  Communications, vol. 21, no. 3, pp. 105–116, Sept. 2023. doi: 10.12142/ZTECOM.202303014.

  [15] J. W. Ding, Y. Liu, H. J. Liao, et al.,“ Statistical model of path loss for railway 5G marshalling yard scenario,” ZTE Communications, vol. 21, no. 3, pp. 117–122, Sept. 2023. doi: 10.12142/ZTECOM.202303015.

   

  第4期：

  Special Topic: 3D Point Cloud Processing and Applications

  [1] H. F. Sun, G. Li, S. H. Chen, et al., “Special topic on 3D point cloud processing and applications,” ZTE Communications, vol.21, no. 4, pp. 1–2, Dec. 2023. doi: 10.12142/ZTECOM.202304001.

  [2] Y. J. Zhou, Z. C. Zhang, W. Sun, et al., “Perceptual quality assessment for point clouds: a survey,” ZTE Communications, vol. 21, no. 4, pp. 3–16, Dec. 2023. doi: 10.12142/ZTECOM.202304002.

  [3] H. R. Zhang, Z. Dong, and M. S. Wang, “Spatio-temporal context-guided algorithm for lossless point cloud geometry compression,” ZTE Communications, vol. 21, no. 4, pp. 17–28, Dec. 2023. doi: 10.12142/ZTECOM.202304003.

  [4] Q. Yin, X. F. Zhang, H. Y. Huang, et al., “Lossy point cloud attribute compression with subnode-based prediction,” ZTE

  Communications, vol. 21, no. 4, pp. 29–37, Dec. 2023. doi: 10.12142/ZTECOM.202304004.

  [5] C. C. Wang, Y. Li, B. B. Wang, et al., “Point cloud processing methods for 3D point cloud detection tasks,” ZTE Communications, vol. 21, no. 4, pp. 38–46, Dec. 2023. doi: 10.12142/ZTECOM.202304005.

  [6] Y. J. Yin, Z. Chen,“Perceptual optimization for point-based point cloud rendering,” ZTE Communications, vol. 21, no. 4, pp. 47–53, Dec. 2023. doi: 10.12142/ZTECOM.202304006.

  [7] W. Z. Shi, Y. B. Liu, and Q. F. Zhou, “Local scenario perception and Web AR navigation,” ZTE Communications, vol. 21, no. 4, pp. 54–59, Dec. 2023. doi: 10.12142/ZTECOM.202304007.

   

  Research Papers

  [8] P. Y. Gong, G. D. Zhang, Z. G. Zhang, et al., “Research on fall detection system based on commercial Wi-Fi devices,” ZTE Communications, vol. 21, no. 4, pp. 60–68, Dec. 2023. doi: 10.12142/ZTECOM.202304008.

  [9] H. L. Feng, J. Han, L. J. Huang, et al., “Incident and problem ticket clustering and classification using deep learning,” ZTE Communications, vol. 21, no. 4, pp. 69–77, Dec. 2023. doi: 10.12142/ZTECOM.202304009.

  [10] R. H. Tian, X. Z. Wu, W. Z. Xu, et al., “A hybrid five-level single-phase rectifier with low common-mode voltage,” ZTE Communications, vol. 21, no. 4, pp. 78–84, Dec. 2023. doi: 10.12142/ZTECOM.202304010.

  [11] Z. A. Xiong, P. Zhao, J. Y. Fan, et al., “Mixed electric and magnetic coupling design based on coupling matrix extraction,” ZTE Communications, vol. 21, no. 4, pp. 85–90, Dec. 2023. doi: 10.12142/ZTECOM.202304011.

  [12] W. J. Zou, C. M. Gu, J. W. Fan, et al., “Beyond video quality: evaluation of spatial presence in 360-degree videos,” ZTE Communications, vol. 21, no. 4, pp. 91–103, Dec. 2023. doi: 10.12142/ZTECOM.202304012.

   

  
  

  
  

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