Yang, Yu-HanYu-HanYangHSUAN-JUNG SUSHIH-CHUN LIN2018-09-102018-09-102011-04https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952634706&doi=10.1109%2fTSP.2010.2099221&partnerID=40&md5=505e42f5db183bf29fdbf37f3df1913dIn this paper, we aim to solve the multiuser multi-input multi-output (MIMO) downlink beamforming problem where one multi-antenna base station broadcasts data to many users. Each user is assigned multiple data streams and has multiple antennas at its receiver. Efficient solutions to the joint transmit-receive beamforming and power allocation problem based on iterative methods are proposed. We adopt the group maximum signal-to-interference-plus- noise-ratio (SINR) filter bank (GSINR-FB) as our beamformer which exploits receiver diversity through cooperation between the data streams of a user. The data streams for each user are subject to an average SINR constraint, which has many important applications in wireless communication systems and serves as a good metric to measure the quality of service (QoS). The GSINR-FB also optimizes the average SINR of its output. Based on the GSINR-FB beamformer, we find an SINR balancing structure for optimal power allocation which simplifies the complicated power allocation problem to a linear one. Simulation results verify the superiority of the proposed algorithms over previous works with approximately the same complexity. © 2010 IEEE.Beamforming; broadcast channel; iterative algorithms; linear precoding; MIMO; multiuser[SDGs]SDG17broadcast channel; Iterative algorithm; Linear pre-coding; MIMO; Multi-user; Algorithms; Antennas; Beamforming; Broadcasting; Communication systems; Data communication systems; Filter banks; Global system for mobile communications; MIMO systems; Quality of service; Signal receivers; Structural optimization; Wireless telecommunication systems; Iterative methodsjournal article10.1109/TSP.2010.20992212-s2.0-79952634706WOS:000290810100032