Oregon State University

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PhD Oral Preliminary Examination – Mohammed Alafaj


Tuesday, January 16, 2018 12:00 PM - 2:00 PM

Subarray Hybrid Precoding for Massive MIMO Capacity Maximization
An effective solution for reducing complexity and power consumption of massive MIMO systems is hybrid beamforming (HB) using analog precoding at RF and digital precoding at the baseband. Researchers have studied HB, assuming optimal antenna implementation, ideal environment, and full rank effective channel. However, the rank of the effective channel matrix could be deficient due to implementation limitations and other factors, which would degrade the performance of the system. The objective of this study is to maintain a high rank effective channel with independent beams sending data streams to the receiver. When the weights of the RF beamformer are properly selected, the structure of the multipath propagation channel will be exploited by the transmitted beams, which maximize the system capacity. This work presents a new set of solutions for HB that performs nearly as a fully digital beamformer in terms of MIMO multiplexing gains. Finally, performance improvements for our proposed system were highlighted, which allow to gain at performance, maintaining hardware complexity, and saving energy at the same time.

Major Advisor: Huaping Liu
Committee: Xiao Fu
Committee: Eduardo Cotilla-Sanchez
Committee: Thinh Nguyen
GCR: William Warnes


Kelley Engineering Center (campus map)
1007
Calvin Hughes
1 541 737 3168
Calvin.Hughes at oregonstate.edu
Sch Elect Engr/Comp Sci
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