NDLI: An optimal spectrum sharing method for MIMO cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Bo Chen Minjian Zhao Ming Lei Lei Zhang
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China (Bo Chen; Minjian Zhao; Ming Lei; Lei Zhang)
Abstract	This paper investigates the resource optimization problem for the multiple-input multiple-output (MIMO) cognitive radio (CR) networks. Different from the conventional works, a novel optimization metric, namely the bandwidth-power product (BPP), is used to achieve the optimal spectrum sharing. We apply the direct-channel singular value decomposition (DC-SVD) method to design the optimal source precoding matrix. Then the unified power and channel allocation problem is derived and found to be a mixed-integer programming problem. Hence, a sub-optimal and tractable algorithm with low complexity called the joint iterative power and channel optimization (JIPCO) algorithm is proposed. Furthermore, the discrete particle swarm optimization (DPSO) algorithm is introduced to approximately provide an upper bound. Numerical results show that the JIPCO algorithm achieves the acceptable performance with great reduction of computation complexity and validate the superiority of the proposed scheme compared to conventional power optimization scheme using the water-filling method.
Starting Page	1007
Ending Page	1011
File Size	447827
Page Count	5
File Format	PDF
e-ISBN	9781467367820
DOI	10.1109/PIMRC.2015.7343445
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms MIMO Matrix converters Lagrangian functions Wireless communication Heating Cognitive Radio (CR) Bandwidth-Power Product Optimal Spectrum Sharing Resource Optimization
Content Type	Text
Resource Type	Article

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