A Deep Study on Layered Multi-Relay Non-Orthogonal Amplify-Forward Networks

被引：0
|
作者：
Padidar, Payam [1 ]
Ho, Pin-Han [1 ,2 ]
Ji, Yancheng [2 ]
Duan, Wei [2 ]
机构：
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
[2] Nantong Univ, Sch Elect & Informat, Nantong 226019, Peoples R China
来源：
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2020年 / 19卷 / 01期
基金：
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词：
Relays; Encoding; Distortion; Signal to noise ratio; NOMA; Multiplexing; MIMO communication; Distortion exponent; diversity-multiplexing tradeoff; layered broadcast code; relay channel; DISTORTION SNR EXPONENT; SUCCESSIVE REFINEMENT; TRANSMISSION; BROADCAST; DIVERSITY; PERFORMANCE; TRADEOFF; CHANNELS; ACCESS; SYSTEMS;
D O I：
10.1109/TWC.2019.2944613
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：
The paper introduces a cross-layer design for transmission of Successive Refinement (SR) source code interplayed with non-orthogonal layered code, deployed over a half-duplex multi-relay Non-orthogonal Amplify-Forward (NAF) network. Assuming the Channel State Information (CSI) is not available at the source node, firstly the achievable layered Diversity-Multiplexing Tradeoff (DMT) curve is derived. Then, by taking Distortion Exponent (DE) as the figure of merit, several achievable lower bounds are proved and the optimal expected distortion performance under high Signal to Noise Ratio (SNR) approximation is explicitly obtained. It is shown that the proposed coding can achieve the Multi-Input Single-Output (MISO) upper bound under certain regions of bandwidth ratios, by which the optimal performance in these regions can be explicitly characterized. Further the non-orthogonal layered coding scheme is extended to a multi-hop MIMO Decode-Forward (DF) relay network and set of DE lower bounds is derived. Simulation results confirm the effectiveness of the proposed scheme under general SNR values and compared with its counterparts.
引用
收藏
页码：354 / 366
页数：13
相关论文
共 50 条
  • [41] Efficient Relay Selection Algorithm for Non-Orthogonal Amplify-and-Forward Cooperative Systems over Block-Fading Channels
    Yunida, Yunida
    Muharar, Rusdha
    Away, Yuwaldi
    Nasaruddin, Nasaruddin
    RADIOENGINEERING, 2020, 29 (02) : 386 - 396
  • [42] Distortion Exponents for Decode-and-Forward Multi-Relay Cooperative Networks
    Wang, Jing
    Liang, Jie
    Muhaidat, Sami
    2009 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, VOLS 1- 4, 2009, : 854 - 858
  • [43] Distributed Multi-Relay Selection in Accumulate-Then-Forward Energy Harvesting Relay Networks
    Gu, Yifan
    Chen, He
    Li, Yonghui
    Liang, Ying-Chang
    Vucetic, Branka
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2018, 2 (01): : 74 - 86
  • [44] Training Power Allocation Based on MSE-Minimization for Multi-Relay Amplify-and-Forward Cooperation in Wireless Sensor Networks
    Yang, Lei
    Wang, Dan
    Zhao, Qing
    WIRELESS PERSONAL COMMUNICATIONS, 2019, 106 (02) : 593 - 619
  • [45] Training Power Allocation Based on MSE-Minimization for Multi-Relay Amplify-and-Forward Cooperation in Wireless Sensor Networks
    Lei Yang
    Dan Wang
    Qing Zhao
    Wireless Personal Communications, 2019, 106 : 593 - 619
  • [46] On the Distortion Exponents of Layered Broadcast Transmission in Multi-Relay Cooperative Networks
    Wang, Jing
    Liang, Jie
    Muhaidat, Sami
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (10) : 5340 - 5352
  • [47] Non-Cooperative Compute-and-Forward Strategies in Gaussian Multi-Source Multi-Relay Networks
    Richter, Johannes
    Hejtmanek, Jan
    Jorswieck, Eduard A.
    Sykora, Jan
    2015 IEEE 82ND VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2015,
  • [48] Power allocation scheme for channel capacity maximization in multi-relay amplify-and-forward cooperative system
    Li, Suoping
    Zou, Xuewei
    Yan, Lifu
    Journal of Information and Computational Science, 2015, 12 (04): : 1365 - 1372
  • [49] Finite-SNR DMT for a Non-orthogonal Decode and Forward Relay Protocol
    Lavanis, Nandita
    Jalihal, Devendra
    2014 IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTING AND COMMUNICATION TECHNOLOGIES (IEEE CONECCT), 2014,
  • [50] An Energy-Efficiency Multi-Relay Selection and Power Allocation Based on Deep Neural Network for Amplify-and-Forward Cooperative Transmission
    Guo, Yan-Yan
    Yang, Jing
    Tan, Xiao-Long
    Liu, Qian
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (01) : 63 - 66
12345