Linear Physical-Layer Network Coding and Information Combining for the K-User Fading Multiple-Access Relay Network

被引:18
|
作者
Yang, Lei [1 ]
Yang, Tao [2 ]
Xie, Yixuan [1 ]
Yuan, Jinhong [1 ]
An, Jianping [3 ]
机构
[1] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
[2] Univ Technol Sydney, Global Big Data Technol Ctr, Ultimo, NSW 2007, Australia
[3] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
Multiple-access relay network (MARN); physical-layer network coding (PNC); information combining; compute-and-forward (CF); 2-WAY; PERFORMANCE; CHANNELS; COOPERATION; CAPACITY; DESIGN;
D O I
10.1109/TWC.2016.2564966
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
We propose a new linear physical-layer network coding (LPNC) and information combining scheme for the K-user fading multiple-access relay network (MARN), which consists of K users, one relay, and one destination. The relay and the destination are connected by a rate-constraint wired or wireless backhaul. In the proposed scheme, the K users transmit signals simultaneously. The relay and the destination receive the superimposed signals distorted by fading and noise. The relay reconstructs L linear combinations of the K users' messages, referred to as L network-coded (NC) messages, and forwards them to the destination. The destination then attempts to recover all K users' messages by combining its received signals and the NC messages obtained from the relay. We develop an explicit expression on the selection of the coefficients of the NC messages at the relay that minimizes the end-to-end error probability at a high signal-to-noise ratio. We develop a channel-coded LPNC scheme by using an irregular repeat-accumulate modulation code over GF(q). An iterative belief-propagation algorithm is employed to compute the NC messages at the relay, while a new algorithm is proposed for the information combining decoding at the destination. We demonstrate that our proposed scheme outperforms benchmark schemes significantly in both un-channel-coded and channel-coded MARNs.
引用
收藏
页码:5637 / 5650
页数:14
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