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Future Wireless Networks: Towards Learning-driven Sixth-generation Wireless Communications

Saleem, Rabbia

Description

The evolution of wireless communication networks, from present to the emerging fifth-generation (5G) new radio (NR), and sixth-generation (6G) is inevitable, yet propitious. The thesis evolves around application of machine learning and optimization techniques to problems in spectrum management, internet-of-things (IoT), physical layer security, and intelligent reflecting surface (IRS). The first problem explores License Assisted Access (LAA), which leverages unlicensed resource sharing with...[Show more]

CollectionsOpen Access Theses
Date published: 2023
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/277999
DOI: 10.25911/SHDX-1797

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