Cognitive Radio MIMO Gaussian Broadcast Channels with the Power Constraint

Authors:
Hai-Lin Xiao;Shan Ouyang;Cheng-Xiang Wang
Affiliations:
School of Information and Communication, Guilin University of Electronic Technology, Guilin, China 541004 and Joint Research Institute for Signal and Image Processing, School of Engineering and Ph ...;School of Information and Communication, Guilin University of Electronic Technology, Guilin, China 541004;Joint Research Institute for Signal and Image Processing, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK EH14 4AS
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

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Abstract

The cognitive radio multiple-input multiple-output Gaussian broadcast channels are studied where multiple antennas are available for both primary users and secondary users in a spectrum sharing environment, and the sum-rate capacity is also obtained under both the SUs' transmit power constraint and interference power constraint at the primary receivers. The paper principally consists of two steps. First, a duality technique and dirty paper coding are adopted to simplify the channels. Second, we propose an iterative power allocation algorithm to obtain the maximum sum-rate capacity and examine the effects of the constraint parameters on the concerned quantities. Finally, numerical simulation results are presented to validate the proposed theoretical analysis.