DocumentCode :
2296414
Title :
Clustering methods for base station cooperation
Author :
Zhao, Jian ; Lei, Zhongding
Author_Institution :
Inst. for Infocomm Res., A*STAR, Singapore, Singapore
fYear :
2012
fDate :
1-4 April 2012
Firstpage :
946
Lastpage :
951
Abstract :
When the joint processing technique is applied in the coordinated multipoint (CoMP) transmission downlink, the user data for each mobile station (MS) needs to be distributed among multiple base stations (BSs), which incurs the exchange of user data via the backhaul. In order to alleviate the requirement on the backhaul capacity, we propose to minimize the exchange of user data among the BSs, subject to certain QoS requirements and power constraints. We formulate this problem into an l0-“norm” minimization problem, and propose two heuristic methods to solve it. Simulations show that both methods can significantly reduce the data exchange among BSs in the backhaul, only at the cost of marginal increase in the sum transmit power at the BSs.
Keywords :
channel capacity; cooperative communication; data communication; minimisation; mobile radio; pattern clustering; quality of service; radio links; QoS; backhaul capacity; base station cooperation; clustering method; coordinated multipoint transmission downlink; data exchange; heuristic method; joint processing technique; minimization problem; mobile station; power constraint; power transmission; Array signal processing; Clustering algorithms; Downlink; Interference; Joints; Signal to noise ratio; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location :
Shanghai
ISSN :
1525-3511
Print_ISBN :
978-1-4673-0436-8
Type :
conf
DOI :
10.1109/WCNC.2012.6214511
Filename :
6214511
Link To Document :
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