Low-Complexity GSVD-Based Beamforming and Power Allocation for a Cognitive Radio Network
スポンサーリンク
概要
- 論文の詳細を見る
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-plus-noise 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.
- The Institute of Electronics, Information and Communication Engineersの論文
- 2012-11-01
著者
-
JEONG Byung
the Broadcasting and Telecommunications Convergence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI)
-
PARK Jaehyun
the Broadcasting and Telecommunications Convergence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI)
-
PARK Yunju
the Department of Mathematics and Computer Science, Korea Science Academy of Korea Advanced Institute of Science and Technology
-
HWANG Sunghyun
the Broadcasting and Telecommunications Convergence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI)