DocumentCode :
75913
Title :
Joint Interference Alignment and Avoidance for Downlink Heterogeneous Networks
Author :
Guoqing Liu ; Min Sheng ; Xijun Wang ; Ying Li ; Jiandong Li
Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
Volume :
18
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
1431
Lastpage :
1434
Abstract :
In this letter, a two-stage interference alignment (IA) scheme and a link scheduling scheme are proposed to cooperatively address both the cross-tier and co-tier interference for downlink heterogeneous networks (HetNets). The two-stage IA enables more small cells to transmit simultaneously by exploiting the characteristics of HetNets and the sacrificed signal dimensions of conventional IA. Then we propose a link scheduling scheme to address the interference that cannot be solved by the two-stage IA. Link scheduling is responsible for choosing the small cell links that can simultaneously transmit by using the two-stage IA and scheduling interfering small cell links to different time slots to avoid interference. Link scheduling is designed with the aims to minimize the number of time slots needed to schedule all links and then maximize the number of scheduled links in these time slots. The simulation results show that the proposed scheme can significantly increase the sum rate of HetNets.
Keywords :
cellular radio; interference (signal); HetNets; co-tier interference; cross-tier interference; downlink heterogeneous networks; joint interference alignment and avoidance; link scheduling scheme; macrocellular network; two-stage IA; two-stage interference alignment scheme; Array signal processing; Complexity theory; Downlink; Interference; Matrix decomposition; Schedules; Scheduling algorithms; Heterogeneous networks; interference alignment; interference avoidance;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2014.2334292
Filename :
6847104
Link To Document :
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