Throughput and Energy Optimization for Future B5G Wireless Networks - Tuan, Pham Viet;Son, Pham Ngoc;Koo, Insoo
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Recently, the next generation wireless networks (5G/B5G) is integrated by some novel paradigms such as cognitive radio, full-duplex, simultaneous wireless information and power transfer (SWIPT), multi-input multi-output (MIMO) and large-scale antenna arrays, etc. The throughput and energy have key roles in the operation of these novel paradigms. We need to investigate the answer to the fundamental questions: how to use minimum energy while ensuring the throughput, how to achieve the maximum throughput with a given maximum energy. The problems become complicated when there are combinations of…mehr

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Produktbeschreibung
Recently, the next generation wireless networks (5G/B5G) is integrated by some novel paradigms such as cognitive radio, full-duplex, simultaneous wireless information and power transfer (SWIPT), multi-input multi-output (MIMO) and large-scale antenna arrays, etc. The throughput and energy have key roles in the operation of these novel paradigms. We need to investigate the answer to the fundamental questions: how to use minimum energy while ensuring the throughput, how to achieve the maximum throughput with a given maximum energy. The problems become complicated when there are combinations of some paradigms such as cognitive and SWIPT, cognitive and full-duplex, or SWIPT and MIMO. Therefore, it is very necessary to propose the solutions for optimizing throughput and energy in the above novel paradigms.
Autorenporträt
The author received a Ph.D degree (2018) in Electrical and Computer Engineering from University of Ulsan, South Korea. He was a Postdoctoral Researcher at the Multimedia Communications System Laboratory, University of Ulsan, South Korea. His research interests include optimizations, wireless communications, and machine learning.