Robust 5G/B5G Millimeter Wave MIMO Communication in a Sparse Scattering Environment

dc.contributor.advisor Zheng, Yao Chang, Willy
dc.contributor.department Electrical Engineering 2022-10-19T22:36:16Z 2022-10-19T22:36:16Z 2022 M.S.
dc.subject Electrical engineering
dc.subject MIMO
dc.subject mmWave
dc.subject NLoS
dc.title Robust 5G/B5G Millimeter Wave MIMO Communication in a Sparse Scattering Environment
dc.type Thesis
dcterms.abstract Wireless sensing and communication is heading into a new era with the advent of fifth generation (5G) capabilities. Although these higher frequency bands are expected to increase throughput and reduce latency to meet increasing mobile user demands, they face significant challenges due to changes in physical characteristics that require different solutions compared to existing methods. One such method is multiple-input, multiple-output (MIMO), a way to increase the capacity of a communication link by exploiting multipaths that exist in the environment. While this rich scattering environment provides the diversity required, at mm-Wave, such paths are non-existent as a consequence of the rapid attenuation shorter wavelengths experience and blockages that prevent the signal from propagating through them. To support MIMO operations, existing research opt to focus on line-of-sight (LoS) MIMO to ensure an orthogonal channel matrix. However, these optimizations are unfeasible over longer distances and limited separation distances for both the transmitter and the receiver. We investigate the non-LoS (NLoS) channels via reflectors as an alternative to a LoS link for a robust procedure in maintaining the communication link. Several preliminary ideal simulations of the channel matrix under 2x2 and 3x3 MIMO were implemented to identify key areas of interest for antenna elements to guide their transmitted singal in order to maximize the channel capacity. We also conducted real-world experiments at 28 GHz to demonstrate that the measured channels are in good agreement with the theory for NLoS MIMO. We also conduct a theoretical analysis of the time complexities for potential path finding and path selection algorithms that leverage the given information to achieve the best possible throughput while minimizing overhead.
dcterms.extent 66 pages
dcterms.language en
dcterms.publisher University of Hawai'i at Manoa
dcterms.rights All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
dcterms.type Text
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