NDLI: Efficient transceiver beamforming in multiple-input–multiple-output cognitive radio network

Content Provider	IET Digital Library
Author	Zhu, Fangjun Guo, Yan Li, Ning
Abstract	Owing to the ability of improving spectrum utilisation and quality-of-service (QoS) in wireless communications, multiple-input–multiple-output (MIMO) cognitive radio (CR) network has been identified as an excellent choice for the next generation communication. To protect primary users (PUs) from excessive interference while ensuring a meaningful QoS of secondary users (SUs), one key challenge of such system is the joint design of transceiver beamforming for SUs. In this study, the authors investigate the beamforming in MIMO CR network, and two optimisation problems in terms of the minimisation of the total transmission power and the maximisation of the smallest received signal-to-interference-plus-noise ratio (SINR) are considered. The problems can be formulated as indefinite quadratic optimisation programs which are known to be non-convex NP-hard. Hence, a distributed algorithm based on semi-definite programming and minimum-mean-squared-error is proposed to achieve the optimal beamforming weight vector. The findings of this study demonstrated that the proposed algorithm outperforms the existing ones with respect to the total transmitted power and SUs SINR.
Starting Page	2729
Ending Page	2736
Page Count	8
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 15, Oct (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0171
Journal	IET Communications
Publisher	The Institution of Engineering and Technology
Publisher Date	2014-08-27
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Array Signal Processing Cognitive Radio Computational Complexity Concave Programming Distributed Algorithm Electromagnetic Compatibility Excessive Interference Indefinite Quadratic Optimisation Program Interference Interpolation And Function Approximation Least Mean Squares Method MIMO Communication MIMO CR Network Minimisation Minimum-mean-squared-error Multiple-input-multiple-output Cognitive Radio Network Next Generation Communication Nonconvex NP-hard Numerical Analysis Optimal Beamforming Weight Vector Optimisation Problem Optimisation Technique Primary User Protection QoS Quadratic Programming Quality of Service Radio Frequency Interference Radio Link And Equipment Radio Spectrum Management Radio Transceivers Secondary User Semidefinite Programming Signal Processing And Detection Signal-to-interference-plus-noise Ratio SINR Maximisation Spectrum Utilisation Total Transmission Power Minimisation Transceiver Beamforming Efficiency Wireless Communication System
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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