A Distributed Interference Alignment Algorithm for Device-to-Device Communications with Multiple Antennas Underlaying Cellular Networks

2015 ◽  
Vol 713-715 ◽  
pp. 1216-1221
Author(s):  
Ning Fei Li ◽  
Shi Xiang Shao ◽  
Jun Sun

In this paper, we consider the device-to-device (D2D) communications with multiple antennas underlaying single-cell cellular networks, in which D2D transmission links reuse the cellular downlink (DL) resource. We propose an iterative distributed interference alignment (IA) algorithm to reduce the cellular interference towards D2D UEs, which utilizes the reciprocity of wireless networks with local channel knowledge at each node. The iteration algorithm continues until it converges, judged by the weighted leakage interference (WLI). Simulation results demonstrate that using the distributed interference alignment algorithm can effectively improve the system capacity and energy efficiency.

Author(s):  
Shamganth K ◽  
Said Shafi Abdullah Al-Shabibia

Device-to-device (D2D) communications underlayed to a cellular infrastructure has recently been proposed to increase spectrum and energy efficiency. Relay selection plays a vital role in cooperative networks. In D2D communication, if the chosen relay is not the best relay, then the whole communication will not be successful from source node to destination node. Also to choose the optimal relays, if more feedback and time delay exists between the source nodes and relay node then it leads to degradation of spectral efficiency.  A survey on the relay selection techniques used with D2D communications and the challenges and design issues associated with the integration of D2D in 5G cellular network is presented.


2016 ◽  
Vol 10 (10) ◽  
pp. 1255-1262 ◽  
Author(s):  
Yang Zhang ◽  
Shibao Li ◽  
Chenglin Zhao ◽  
Li Hong ◽  
Junsheng Yu

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