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Doctoral Defense

5G Wireless System and Network Design for Sparse Communications, Efficient Medium Access and High-Speed Data Transmissions

Jie Zhao

December 13, 2018
2:00 PM
Light Engineering room 250
Advisor: Prof. Xin Wang

The unprecedented expanding trend of global wireless data is accelerated by the proliferation of advanced user terminals like smartphones and bandwidth-greedy applications such as ultra-high-definition video streaming. In order to support this galloping demand for network traffic and ubiquitous wireless coverage, it calls for moving to the next major phase of wireless and mobile telecommunications: 5th generation (5G).

With the aim to push towards 5G, this dissertation investigates critical wireless system and network design topics, including sparse wideband sensing and detection, efficient medium access and rapid directional transmissions, mainly from the perspectives of 5G-enabling technologies for cognitive radio (CR) and millimeter-wave (mmWave). First, to identify the sparse spectrum usage conditions and determine the resources available for better spectral efficiency, we design a wideband spectrum sensing and detection framework with effective implementations for single-user case and cooperative multi- user case. Second, in order to better utilize spectral resources and cope with environmental disturbances, we develop a dynamic multi-user multi-channel access strategy and a robust perturbation-resilient data transmission scheme in CR networks. Third, with the objective of enhanced beamforming for high-speed directional transmissions in mmWave networks, we propose two accurate and low-cost channel estimation regimes to facilitate beam alignment. Finally, to enable efficient directional medium access and achieve throughput boost, we innovate joint beam training and transmission scheduling methodologies with potent features for single-beam and multi-beam mmWave networks.

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