Abstract:A duality relation between the downlink max-min Signal-to-Interference-Noise Ratio (SINR) optimization issue and the virtual uplink min-max SINR optimization issue is revealed by using the Lagrange duality theory for coordinated multiple point joint transmission multiple input single output interference downlink system subject to per-base station power constraints. Based on the duality relation and subgradient theory, a two layer alternating iterative optimization beamforming method is proposed to solve the virtual uplink min-max SINR optimization issue. And the convergence of the proposed algorithm is proven. The complexity of the proposed method is analyzed by using real floating-point operation theory. Numerical simulation verifies the validity of the proposed method.
何世文, 黄永明, 杨绿溪. 基于对偶理论的多点协同联合发送波束成形算法[J]. 电子与信息学报, 2012, 34(8): 1974-1979.
He Shi-Wen, Huang Yong-Ming, Yang Lv-Xi. A Coordinated Multiple Point Joint Transmission Beamforming Algorithm Based on Duality Theory. , 2012, 34(8): 1974-1979.