Beamforming in Traffic-Aware Two-Way Relay Systems With Channel Estimation Error and Feedback Delay

被引:10
|
作者
Gurjar, Devendra Singh [1 ]
Upadhyay, Prabhat Kumar [1 ]
da Costa, Daniel Benevides [2 ]
de Sousa, Rafael Timoteo, Jr. [3 ]
机构
[1] Indian Inst Technol Indore, Discipline Elect Engn, Indore 453552, Madhya Pradesh, India
[2] Univ Fed Ceara, Dept Comp Engn, BR-60020180 Sobral, CE, Brazil
[3] Univ Brasilia, Dept Elect Engn, Cybersecur INCT Unit 6, BR-70910900 Brasilia, DF, Brazil
关键词
Analog network coding; asymmetric traffic pattern; beamforming; channel estimation error; feedback delay; Nakagami-m fading; two-way relaying; PERFORMANCE; IMPACT;
D O I
10.1109/TVT.2017.2696047
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a comprehensive performance analysis of a multi-antenna-based traffic-aware two-way relay system with unavoidable imperfections in channel state information (CSI) under Nakagami-m fading. Herein, we employ transmit/receive beamforming at source nodes and analog network coding (ANC) at the relay node in the presence of CSI imperfections due to channel estimation errors (CEE) and feedback delay. With such a practical setup, we first deduce the pertinent instantaneous end-to-end signal-to-noise ratios (SNRs) after performing partial self-interference cancellation. Then, by imposing asymmetric traffic requirements in two opposite directions, we conduct an accurate analysis of overall outage probability (OOP) of the considered system. We further derive a tight lower bound on OOP that has a simple and compact closed-form representation. Moreover, based on the asymptotic OOP expression at high SNR, we examine the achievable diversity order of the system. In addition, we acquire an upper bound expression of ergodic sum-rate (ESR) and simplify it further in useful compact form for high SNR regime. Besides, we investigate the optimization problems of relay position to minimize the OOP and to maximize the ESR. Numerical and simulation results validate our theoretical analysis and highlight the impact of CEE and feedback delay under various traffic patterns on the overall system performance.
引用
收藏
页码:8807 / 8820
页数:14
相关论文
共 50 条
  • [41] MIMO two-way relay channel with superposition coding and imperfect channel estimation
    Krikidis, Ioannis
    Thompson, John S.
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2012, 35 (01) : 510 - 516
  • [42] MIMO Two-Way Relay Channel with Superposition Coding and Imperfect Channel Estimation
    Krikidis, Ioannis
    Thompson, John S.
    [J]. 2010 IEEE GLOBECOM WORKSHOPS, 2010, : 84 - 88
  • [43] Channel Training Algorithms for Two-Way MIMO Relay Systems
    Chiong, Choo W. R.
    Rong, Yue
    Xiang, Yong
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (16) : 3988 - 3998
  • [44] Superimposed Channel Training for Two-Way MIMO Relay Systems
    Chiong, Choo W. R.
    Rong, Yue
    Xiang, Yong
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (IEEE ICCS 2012), 2012, : 21 - 25
  • [46] Performance analysis of cooperative diversity for two-way multi-relay system with channel estimation error
    Wang, Si-Ye
    Xu, Wen-Jun
    He, Zhi-Qiang
    Niu, Kai
    Wu, Wei-Ling
    [J]. Journal of China Universities of Posts and Telecommunications, 2011, 18 (03): : 41 - 46
  • [47] On Design of Collaborative Beamforming for Two-Way Relay Networks
    Zeng, Meng
    Zhang, Rui
    Cui, Shuguang
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (05) : 2284 - 2295
  • [48] Optimal Beamforming in MIMO Two-Way Relay Channels
    Wang, Xiyuan
    Zhang, Xian-Da
    [J]. 2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010, 2010,
  • [49] New Beamforming Method for Two-Way Relay Networks
    Sheikh, Alireza
    Olfat, Ali
    [J]. 2014 7th International Symposium on Telecommunications (IST), 2014, : 1117 - 1121
  • [50] Training Design and Two-stage Channel Estimation for Correlated Two-way MIMO Relay Systems
    Chen, Huiming
    Lam, Wong Hing
    [J]. 2016 EIGHTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN), 2016, : 307 - 312