Deep learning for wireless communications
File(s)
Author(s)
Li, Geoffrey
Type
Thesis
Abstract
Deep learning (DL) has shown its overwehlming privilege in many areas, including computer vision, robotics, and natural language processing, where it is normally difficult to find aconcrete mathematical model for feature representation. Inspired by many application exampls of DL, especially the success of AlphaGo in 2015, we initialized DL for communication in 2016 to completely or partially address the following issues in wireless communications.
Version
Open Access
Date Issued
2025-05-24
Date Awarded
2026-03-01
Copyright Statement
Attribution-NonCommercial 4.0 International Licence (CC BY-NC)
License URL
(https://creativecommons.org/licenses/by-nc/4.0/
Publisher Department
Department of Electrical and Electronic Engineering
Qualification Level
Other
Qualification Name
Doctor of Science (DSc)