Title
Interference-Aware Interference Mitigation for Device-to-Device Communications
Abstract
This paper proposes a way of applying interference- aware interference mitigation algorithms to device- to-device (D2D) communications in cellular networks for system throughput improvement. One of main purposes for using D2D communications is to offload throughput passing through a base station in cellular networks. In this sense, interference management between cellular and D2D signals is inevitable for both cellular and D2D mobile stations (MSs). Recently, interference-aware interference mitigation algorithms have been proposed in a theoretical aspect as well as a practical aspect. These algorithms operate based on interference information given at a MS, which can be obtained via network assistance or blind estimation. This paper explains how interference- aware algorithms can be applied to D2D communications in cellular networks. Moreover, this paper analyzes the throughput performance by deriving the rate upper-bounds. Simulation results demonstrate that the system throughput can be significantly improved while not losing the performance of a cellular MS too much.
Year
DOI
Venue
2014
10.1109/VTCSpring.2014.7022956
VTC Spring
Keywords
Field
DocType
base station,d2d communications,cellular radio,system throughput improvement,network assistance,interference information,device- to-device communications,cellular mobile stations,blind estimation,d2d signals,rate upper-bounds,d2d mobile stations,interference suppression,cellular signals,interference management,throughput passing,cellular networks,interference-aware interference mitigation algorithms,signal to noise ratio,throughput,lead,decoding,resource management
Radio resource management,Interference (communication),Base station,Computer science,Co-channel interference,Computer network,Electronic engineering,Cellular network,Interference (wave propagation),Throughput,Zero-forcing precoding
Conference
ISSN
Citations 
PageRank 
1550-2252
3
0.40
References 
Authors
9
3
Name
Order
Citations
PageRank
Hyukjoon Kwon1616.66
Jungwon Lee289095.15
Inyup Kang330432.39