[an error occurred while processing this directive]

ZTE Communications ›› 2016, Vol. 14 ›› Issue (4): 3-10.DOI: 10.3969/j.issn.1673-5188.2016.04.001

• • 上一篇    下一篇

Evaluation of Preamble Based Channel Estimation for MIMO-FBMC Systems

Sohail Taheri1, Mir Ghoraishi1, XIAO Pei1, CAO Aijun2, GAO Yonghong2   

  1. 1. 5G Innovation Centre, Institute for Communication Systems ICS, University of Surrey, Guildford, Surrey GU2 7XH, United Kingdom;
    2. ZTE Wistron Telecom AB, Kista, Stockholm 164 51, Sweden
  • 收稿日期:2016-04-04 出版日期:2016-10-01 发布日期:2019-11-29
  • 作者简介:Sohail Taheri (s.taheri@surrey.ac.uk) received his BS degree in electronic engineering and MSc degree in digital electronics from Amirkabir University of Technology, Iran in 2010 and 2012 respectively. He is currently working towards his PhD degree from the Institute for Communication Systems (ICS), University of Surrey, United Kingdom. His current research interests include signal processing for wireless communications, waveform design for 5G air interface and physical layer for 5G networks.
    Mir Ghoraishi (m.ghoraishi@surrey.ac.uk) is a senior research fellow in the Institute for Communication Systems (ICS), University of Surrey. He joined the Institute in 2012 and is currently leading 5GIC testbed and proof-of-concept projects. This work area includes several implementation and proof-of-concept projects, e.g. 5G airinterface proof-of-concept, distributed massive MIMO implementation, wireless inband full-duplex, millimeter wave hybrid beamforming system, and millimeter wave wireless channel analysis and modelling. He was involved in EU FP7 DUPLO project as work package leader. He has previously worked in Tokyo Institute of Technology as assistant professor and senior researcher from 2004 to 2012, after getting his PhD from the same institute. In Tokyo Tech he was involved in several national and small scale projects in planning, performing, implementation, analysis and modelling different aspect of wireless systems in physical layer, propagation channel and signal processing. He has co-authored 100 publications including refereed journals, conference proceedings and three book chapters.
    XIAO Pei (p.xiao@surrey.ac.uk) received the BEng, MSc and PhD degrees from Huazhong University of Science & Technology, Tampere University of Technology, Chalmers University of Technology, respectively. Prior to joining the University of Surrey in 2011, he worked as a research fellow at Queen’s University Belfast and had held positions at Nokia Networks in Finland. He is a Reader at University of Surrey and also the technical manager of 5G Innovation Centre (5GIC), leading and coordinating research activities in all the work areas in 5GIC. Dr Xiao’s research interests and expertise span a wide range of areas in communications theory and signal processing for wireless communications. He has published 160 papers in refereed journals and international conferences, and has been awarded research funding from various sources including Royal Society, Royal Academy of Engineering, EU FP7, Engineering and Physical Sciences Research Council as well as industry.
    CAO Aijun (cao.aijun@zte.com.cn) is a principal architect in ZTE R&D Center, Sweden (ZTE Wistron Telecom AB). He has over 17 years of experience in wireless communications research and development from baseband processing to network architecture, including design and optimization of commercial UMTS/LTE base-station and handset products, HetNet and small cell enhancement, etc. He has also been involved in standardization works and contributed to several 3GPP technical reports. He is also active in academic and industrial workshops and conferences related to the future wireless networks being as panelists or (co-)authors of published papers in refereed journals and international conferences. In addition, he holds more than 50 granted or pending patents. His current focus is 5G technologies related to the new energy-efficient unified air-interface and network architecture, e.g., new waveform design, non-orthogonal multiple access schemes, random access challenges and innovative signaling architecture for 5G networks.
    GAO Yonghong (gao.yonghong@zte.com.cn) received his BEng degree in electronic engineering from Tsinghua University, China in 1989, and PhD degree in electronic systems from Royal Institute of Technology, Sweden in 2001. In 1996, he was a visiting scientist at Royal Institute of Technology and Ericsson Sweden. In 1999, he joined Ericsson Sweden to develop 3G base stations, baseband algorithms, and baseband ASICs. He joined ZTE European Research Institute (ZTE Wistron Telecom AB, Sweden) in 2002 and has been the CTO of ZTE European Research Institute till now, leading and participating the development of 3G/4G commercial base stations, baseband/RRM algorithms, and baseband ASICs, 3GPP small cell enhancement, and from 3 years ago focusing on 5G pre-study, 5G standardization, and 5G research projects in Europe. He has filed 40+ patents as a main author or co-author. His research interests include mobile communication standards/systems, and solutions and algorithms for commercial wireless products.
  • 基金资助:
    This work is supported by ZTE Industry-Academia-Research Cooperation Funds under Grant No. Surrey-Ref-9953.

Evaluation of Preamble Based Channel Estimation for MIMO-FBMC Systems

Sohail Taheri1, Mir Ghoraishi1, XIAO Pei1, CAO Aijun2, GAO Yonghong2   

  1. 1. 5G Innovation Centre, Institute for Communication Systems ICS, University of Surrey, Guildford, Surrey GU2 7XH, United Kingdom;
    2. ZTE Wistron Telecom AB, Kista, Stockholm 164 51, Sweden
  • Received:2016-04-04 Online:2016-10-01 Published:2019-11-29
  • About author:Sohail Taheri (s.taheri@surrey.ac.uk) received his BS degree in electronic engineering and MSc degree in digital electronics from Amirkabir University of Technology, Iran in 2010 and 2012 respectively. He is currently working towards his PhD degree from the Institute for Communication Systems (ICS), University of Surrey, United Kingdom. His current research interests include signal processing for wireless communications, waveform design for 5G air interface and physical layer for 5G networks.
    Mir Ghoraishi (m.ghoraishi@surrey.ac.uk) is a senior research fellow in the Institute for Communication Systems (ICS), University of Surrey. He joined the Institute in 2012 and is currently leading 5GIC testbed and proof-of-concept projects. This work area includes several implementation and proof-of-concept projects, e.g. 5G airinterface proof-of-concept, distributed massive MIMO implementation, wireless inband full-duplex, millimeter wave hybrid beamforming system, and millimeter wave wireless channel analysis and modelling. He was involved in EU FP7 DUPLO project as work package leader. He has previously worked in Tokyo Institute of Technology as assistant professor and senior researcher from 2004 to 2012, after getting his PhD from the same institute. In Tokyo Tech he was involved in several national and small scale projects in planning, performing, implementation, analysis and modelling different aspect of wireless systems in physical layer, propagation channel and signal processing. He has co-authored 100 publications including refereed journals, conference proceedings and three book chapters.
    XIAO Pei (p.xiao@surrey.ac.uk) received the BEng, MSc and PhD degrees from Huazhong University of Science & Technology, Tampere University of Technology, Chalmers University of Technology, respectively. Prior to joining the University of Surrey in 2011, he worked as a research fellow at Queen’s University Belfast and had held positions at Nokia Networks in Finland. He is a Reader at University of Surrey and also the technical manager of 5G Innovation Centre (5GIC), leading and coordinating research activities in all the work areas in 5GIC. Dr Xiao’s research interests and expertise span a wide range of areas in communications theory and signal processing for wireless communications. He has published 160 papers in refereed journals and international conferences, and has been awarded research funding from various sources including Royal Society, Royal Academy of Engineering, EU FP7, Engineering and Physical Sciences Research Council as well as industry.
    CAO Aijun (cao.aijun@zte.com.cn) is a principal architect in ZTE R&D Center, Sweden (ZTE Wistron Telecom AB). He has over 17 years of experience in wireless communications research and development from baseband processing to network architecture, including design and optimization of commercial UMTS/LTE base-station and handset products, HetNet and small cell enhancement, etc. He has also been involved in standardization works and contributed to several 3GPP technical reports. He is also active in academic and industrial workshops and conferences related to the future wireless networks being as panelists or (co-)authors of published papers in refereed journals and international conferences. In addition, he holds more than 50 granted or pending patents. His current focus is 5G technologies related to the new energy-efficient unified air-interface and network architecture, e.g., new waveform design, non-orthogonal multiple access schemes, random access challenges and innovative signaling architecture for 5G networks.
    GAO Yonghong (gao.yonghong@zte.com.cn) received his BEng degree in electronic engineering from Tsinghua University, China in 1989, and PhD degree in electronic systems from Royal Institute of Technology, Sweden in 2001. In 1996, he was a visiting scientist at Royal Institute of Technology and Ericsson Sweden. In 1999, he joined Ericsson Sweden to develop 3G base stations, baseband algorithms, and baseband ASICs. He joined ZTE European Research Institute (ZTE Wistron Telecom AB, Sweden) in 2002 and has been the CTO of ZTE European Research Institute till now, leading and participating the development of 3G/4G commercial base stations, baseband/RRM algorithms, and baseband ASICs, 3GPP small cell enhancement, and from 3 years ago focusing on 5G pre-study, 5G standardization, and 5G research projects in Europe. He has filed 40+ patents as a main author or co-author. His research interests include mobile communication standards/systems, and solutions and algorithms for commercial wireless products.
  • Supported by:
    This work is supported by ZTE Industry-Academia-Research Cooperation Funds under Grant No. Surrey-Ref-9953.

PDF

摘要： Filter-bank multicarrier (FBMC) with offset quadrature amplitude modulation (OQAM) is a candidate waveform for future wireless communications due to its advantages over orthogonal frequency division multiplexing (OFDM) systems. However, because of or-thogonality in real field and the presence of imaginary intrinsic interference, channel estimation in FBMC is not as straightforward as OFDM systems especially in multiple antenna scenarios. In this paper, we propose a channel estimation method which employs intrinsic interference cancellation at the transmitter side. The simulation results show that this method has less pilot overhead, less peak to average power ratio (PAPR), better bit error rate (BER), and better mean square error (MSE) performance compared to the well-known intrinsic approximation methods (IAM).

关键词: channel estimation, filter-bank multicarrier (FBMC), multiple-input multiple-output (MIMO), offset quadrature amplitude modula-tion (OQAM), wireless communication

Abstract: Filter-bank multicarrier (FBMC) with offset quadrature amplitude modulation (OQAM) is a candidate waveform for future wireless communications due to its advantages over orthogonal frequency division multiplexing (OFDM) systems. However, because of or-thogonality in real field and the presence of imaginary intrinsic interference, channel estimation in FBMC is not as straightforward as OFDM systems especially in multiple antenna scenarios. In this paper, we propose a channel estimation method which employs intrinsic interference cancellation at the transmitter side. The simulation results show that this method has less pilot overhead, less peak to average power ratio (PAPR), better bit error rate (BER), and better mean square error (MSE) performance compared to the well-known intrinsic approximation methods (IAM).

Key words: channel estimation, filter-bank multicarrier (FBMC), multiple-input multiple-output (MIMO), offset quadrature amplitude modula-tion (OQAM), wireless communication