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Low-complexity GSVD-based Beamforming and Power allocation for a Cognitive Radio Network
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- Authors
- Jaehyun PARK, Yunju PARK, Sunghyun HWANG, Byung Jang JEONG
- Issue Date
- 2012-09
- Citation
- IEICE Transactions on Communications, v.E95-B, no.11, pp.3536-3544
- ISSN
- 0916-8516
- Publisher
- 일본, 전자정보통신학회 (IEICE)
- Language
- English
- Type
- Journal Article
- Abstract
- In this paper, low-complexity generalized singular value decomposition (GSVD) based beamforming schemes are proposed for a cognitive radio (CR) network in which multiple secondary users (SUs) with multiple antennas coexist with multiple primary users (PUs). In general, optimal beamforming, which suppresses the interference caused at PUs to below a certain threshold and maximizes the signal-to-interference-plusnoise ratios (SINRs) of multiple SUs simultaneously, requires a complicated iterative optimization process. To overcome the computational complexity, we introduce a signal-to-leakage-plus-noise ratio (SLNR) maximizing beamforming scheme in which the weight can be obtained by using the GSVD algorithm, and does not require any iterations or matrix squaring operations. Here, to satisfy the leakage constraints at PUs, two linear methods, zero forcing (ZF) preprocessing and power allocation, are proposed. Copyright © 2012 The Institute of Electronics, Information and Communication Engineers.
- KSP Keywords
- Beamforming scheme, Cognitive radio (CR) network, Computational complexity, Generalized Singular Value Decomposition(GSVD), Information and communication, Linear method, Multiple secondary users, Secondary user(Su), Signal-to-leakage-plus-noise ratio, Zero forcing(ZF), cognitive radio network(CRN)