DocumentCode :
2521617
Title :
Capacity Balancing for Multiuser MIMO Cognitive Radio Network
Author :
Xiong, Zhilan ; Gong, Chaohua ; Wu, Lu ; Cumanan, K. ; Lambotharan, S.
Author_Institution :
Res. & Innovation Center, Alcatel-Lucent Shanghai Bell, Shanghai, China
fYear :
2011
fDate :
5-8 Sept. 2011
Firstpage :
1
Lastpage :
5
Abstract :
We propose a capacity balancing beamforming technique for a multiple inputs and multiple outputs (MIMO) based cognitive radio (CR) network. The proposed algorithm is based on mean square error (MSE) duality and it is aimed at maximizing the worst case user capacity of multiple secondary users (SUs) by jointly designing their transceiver beamformers while ensuring the interference leakage to multiple primary users (PUs) are below a specific set of thresholds. We use an iterative approach to determine the transceiver beamformers so that the capacities achieved by all SUs are balanced and maximized. The performance of the algorithm is demonstrated through Monte Carlo simulation results.
Keywords :
MIMO communication; Monte Carlo methods; array signal processing; cognitive radio; iterative methods; mean square error methods; radio networks; radio transceivers; radiofrequency interference; CR network; MSE duality; Monte Carlo simulation; capacity balancing beamforming technique; interference leakage; iterative approach; mean square error duality; multiple inputs multiple outputs network; multiple primary users; multiple secondary users; multiuser MIMO cognitive radio network; transceiver beamformer determination; worst case user capacity maximization; Downlink; Interference; MIMO; Optimization; Receiving antennas; Resource management; Scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
ISSN :
1090-3038
Print_ISBN :
978-1-4244-8328-0
Type :
conf
DOI :
10.1109/VETECF.2011.6092998
Filename :
6092998
Link To Document :
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