Cloud-Driven Multi-Way Multiple-Antenna Relay Systems: Joint Detection, Best-User-Link Selection and Analysis

被引:7
作者
Duarte, Flavio L. [1 ,2 ]
de Lamare, Rodrigo C. [1 ,3 ]
机构
[1] Pontifical Catholic Univ Rio de Janeiro, Ctr Telecommun Studies CETUC, BR-22451900 Rio De Janeiro, Brazil
[2] Mil Inst Engn IME, BR-22290270 Rio De Janeiro, Brazil
[3] Univ York, Dept Elect Engn, York YO10 5DD, N Yorkshire, England
基金
巴西圣保罗研究基金会;
关键词
Relays; Protocols; Uplink; Downlink; Delays; Computational modeling; MIMO communication; Multi-way relay channel; cooperative diversity; maximum likelihood detection; minimum mean square error detection; MIMO; PERFORMANCE ANALYSIS; DIVERSITY; SCHEME;
D O I
10.1109/TCOMM.2020.2978191
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
In this work, we present a cloud-driven uplink framework for multi-way multiple-antenna relay systems which aids joint symbol detection in the cloud and where users are selected to simultaneously transmit to each other aided by relays. We also investigate relay selection techniques for the proposed cloud-driven uplink framework that uses cloud-based buffers and XOR network coding. In particular, we develop a novel multi-way relay selection protocol based on the selection of the best link, denoted as Multi-Way Cloud-Driven Best-User-Link (MWC-Best-User-Link). We then devise maximum-minimum-distance and channel-norm based relay selection criteria along with algorithms that are incorporated into the proposed MWC-Best-User-Link protocol. An analysis of the proposed MWC-Best-User-Link protocol in terms of computational cost, pairwise error probability, sum-rate and average delay is carried out. Simulations show that MWC-Best-User-Link outperforms previous works in terms of sum-rate, pairwise error probability, average delay and bit error rate.
引用
收藏
页码:3342 / 3354
页数:13
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