Compressive Sensing Based Hybrid Beamforming for Adaptively-Connected Structure
作者： Qibo Qin , Lin Gui , Ling Zhang , Yuliang Tu
DOI: 10.1109/ICCCHINA.2018.8641209
关键词: Rayleigh fading 、 Baseband 、 Upper and lower bounds 、 Electronic engineering 、 Interference (communication) 、 Compressed sensing 、 MIMO 、 Communication channel 、 Computer science
摘要: Hybrid multiple-input multiple-output (MIMO) has been thought as a promising technology for 5G communications. Compared with the fully-connected structure in hybrid MIMO systems, adaptively-connected requires significantly reduced number of analog phase shifters (APSs) and no radio frequency (RF) adder. In this paper, we focus on multi-user massive system propose compressive sensing (CS) based method to design beamforming. The RF combiner each user is independently designed decomposition channel. By exploiting sparse precoder, develop an iterative greedy algorithm jointly precoder baseband aiming at maximizing effective signal power well eliminating interference. Moreover, upper bound achievable sum rate proposed scheme derived. numerical results demonstrate that can approach performance achieve higher than existing schemes both Rayleigh fading channel millimeter wave
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