Multiobjective Robust Beamforming for Target SINR Tracking and QoS in Multicell MIMO Wireless Systems with Imperfect Channel State Information

• Main Authors: Chen, Wei Yu, 陳偉祐
• Other Authors: Chen, Bor Sen
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/27p8vq

碩士 === 國立清華大學 === 電機工程學系 === 105 === Although high Quality of Service (QoS) requirement of the multicell multi-input multi-output (MIMO) interference wireless network can be achieved by joint processing (JP) and coordinated beamforming (CB), it is difficult to deal with the delay effect of the system and the uncertainty of the channel information. In this study, we propose a multiobjective beamforming scheme with optimal signal-to-interference-plus-noise ratio (SINR) tracking methods to achieve QoS with minimum power consumption for multicell MIMO interference wireless system with imperfect channel coefficients. The advantages of the proposed multiobjective beamforming scheme are threefold. First, the designed beamforming can achieve three objectives as follows: optimal H-infinity SINR tracking performance, minimum total power consumption, and minimum worst case interference in the multicell MIMO system simultaneously. Second, we show that the multicell interference, round trip delay, channel fading and noise can be efficiently weakened by the proposed robust H-infinity SINR tracking scheme to provide a better feasibility than the conventional methods. Third, through the cooperation between SINR tracking model and the weighting sum semidefinite programming (SDP) with multiobjective evolution algorithm (MOEA), the Pareto optimal beamforming weights can be obtained to achieve QoS requirements with minimum power consumption simultaneously. Finally, we provide several numerical examples to show that the proposed design scheme can achieve favorable results and guarantee the theoretical analysis.