LOW-COMPLEXITY JOINT BEAMFORMING AND POWER ALLOCA-TION FOR SINR BALANCING IN COGNITIVE RADIO NETWORKS  

作　　者：Yang Yang Wang Jinlong Wu Qihui Liu Xin 

机构地区：[1]Institute of Communication Engineering,PLA University of Science and Technology, Nanjing 210007,China

出　　处：《Journal of Electronics(China)》2010年第5期686-695,共10页电子科学学刊（英文版）

基　　金：Supported by the National Basic Research Program (973) of China (No. 2009CB320400);the National High-Tech Research and Development Program (863) of China (No. 2009AA01Z243);the National Science Fundation of China (No. 61072044);the Natural Science Fundation of Jiangsu Province (BK2009056)

摘　　要：We consider the Signal-to-Interference plus Noise Ratio(SINR) balancing problem in-volving joint beamfoming and power allocation in the Cognitive Radio(CR) network,wherein the Single-Input Multi-Output Multiple Access Channels(SIMO-MAC) are assumed.Subject to two sets of constraints:the interference temperature constraints of Primary Users(PUs) and the peak power constraints of Cognitive Users(CUs),a low-complexity joint beamforming and power allocation algo-rithm called Semi-Decoupled Multi-Constraint Power Allocation with Constraints Preselection(SDMCPA-CP) for SINR balancing is proposed.Compared with the existing algorithm,the proposed SDMCPA-CP can reduce the number of matrix inversions and matrix eigen decompositions signifi-cantly,especially when large numbers of PUs and CUs are active,while still providing the optimal balanced SINR level for all the CUs.We consider the Signal-to-Interference plus Noise Ratio（SINR） balancing problem in-volving joint beamfoming and power allocation in the Cognitive Radio（CR） network,wherein the Single-Input Multi-Output Multiple Access Channels（SIMO-MAC） are assumed.Subject to two sets of constraints：the interference temperature constraints of Primary Users（PUs） and the peak power constraints of Cognitive Users（CUs）,a low-complexity joint beamforming and power allocation algo-rithm called Semi-Decoupled Multi-Constraint Power Allocation with Constraints Preselection（SDMCPA-CP） for SINR balancing is proposed.Compared with the existing algorithm,the proposed SDMCPA-CP can reduce the number of matrix inversions and matrix eigen decompositions signifi-cantly,especially when large numbers of PUs and CUs are active,while still providing the optimal balanced SINR level for all the CUs.

关 键 词：Cognitive Radio (CR) BEAMFORMING Power allocation Signal-to-Interference plus Noise Ratio (SINR) balancing 

分 类 号：TN929.5[电子电信—通信与信息系统]