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| Content Provider | Springer Nature Link |
|---|---|
| Author | Li, Yongzhi Tao, Cheng Liu, Liu Zhang, Lingwen |
| Copyright Year | 2016 |
| Abstract | This paper considers a distributed full duplex relay network where multiple sources simultaneously transmit their signals to multiple destinations via the cooperation of a set of relay stations (RSs). Each RS is assumed to be equipped with large antenna arrays while all sources and destinations only have a single antenna. We assume the channels are Rician fading and the RSs use linear processing to process the signals with imperfect channel state information (CSI). We derive the closed-form expressions of the end-to-end achievable rates for the maximum-ratio combining/matched-filter (MRC/MF) and the zero-forcing (ZF) processing. These results are then used to pursue a detailed analysis of the power saving of the relay network. Then we study the energy-efficiency-aware relay selection strategy since the energy efficiency affects network lifetime in future wireless network. We propose a sub-optimal strategy with low complexity that only requires the statistical CSI. Simulations show that the energy efficiency of the system can be improved with optimal power allocation and our proposed strategy performs very close to the exhaustive search algorithm which is optimal.本文将全双工中继与大规模MIMO技术相结合, 并假设每个中继端与用户间的信道为莱斯信道, 研究了分布式全双工中继大规模MIMO系统中继选择的算法。 首先本文给出了每个中继段采用匹配滤波和迫零技术来对信号进行处理时, 系统端到端的可达速率的闭式表达式, 并分析了系统的功率效率性能。 然后基于此闭式表达式, 以最大化系统的能量效率为目标, 提出了近似增量选择的中继选择算法。 该算法只需要系统获知中继端与用户端之间的信道统计特征信息, 从而有效降低了系统开销。 仿真结果表明, 该算法能够达到与最优算法相近的性能。 |
| Starting Page | 1 |
| Ending Page | 15 |
| Page Count | 15 |
| File Format | |
| ISSN | 1674733X |
| Journal | Science in China Series : Information Sciences |
| Volume Number | 60 |
| Issue Number | 2 |
| e-ISSN | 18691919 |
| Language | Chinese |
| Publisher | Science China Press |
| Publisher Date | 2016-09-02 |
| Publisher Place | Beijing |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | relay network full duplex massive MIMO relay selection energy efficiency Information Systems and Communication Service |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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