Millimeter-Wave Massive MIMO Communications with Restricted Architectures: Harness More with Less

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Millimeter-Wave Massive MIMO Communications with Restricted Architectures: Harness More with Less

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Communication at millimeter-wave (mmWave) frequencies (ranging from 30~300 GHz) has been unanimously recognized as the essential remedy for addressing the current cellular spectrum bottleneck. The exploration of this uncharted band commenced by the lower end (28GHz) and now taps into the higher (60GHz) or even sub-Terahertz (100GHz) bands, making mmWave communication a powerful pillar in future wireless networks. Unlike the precedent generations deploying digital transceivers, the fifth-generation (5G) mmWave networks adopt the so-called restricted (hybrid or low-bit) architecture to alleviate power requirements and over- all cost. Aside from hardware limitations, the unique channel propagation environment and re- markably augmented signal dimension necessitate a paradigm-shifting design. To this end, the research investigation in this thesis deals with physical-layer mmWave communications with restricted massive multiple-input multiple-output (mMIMO) structures. The overarching goal throughout the technical design is to harness more (namely improved error performance and higher spectrum efficiency) with less (that is, fewer pilot symbols and lower computational complexity). The major efforts toward this target can be summarized as: i) development of a new-domain index modulation to break the restriction of multiplexing gain in narrowband hybrid systems; ii) a precoded index modulation scheme to boost spectrum effiGeorgiosciency in wideband hybrid systems; iii) design of a doubly-selective channel estimator leveraging the channel’s double sparsity, iv) a generic wideband multi-user transceiver following hybrid block diagonalization framework; v) a model-enhanced learning-based detector to address the uplink access issue for 1-bit systems; and vi) a vector-based constellation generator to facilitate downlink multi-casting for 1-bit systems. The relevant findings and outcomes contribute to the fundamental research and practical deployment of mmWave communications.



University of Minnesota Ph.D. dissertation. April 2022. Major: Electrical/Computer Engineering. Advisor: Georgios Giannakis. 1 computer file (PDF); xi, 178 pages.

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Gao, Shijian. (2022). Millimeter-Wave Massive MIMO Communications with Restricted Architectures: Harness More with Less. Retrieved from the University Digital Conservancy,

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