Applications of deep learning for physical layer of wireless communication systems
The objective of the thesis is to exploit the recent advances in deep learning-based techniques for wireless communication systems. The proposed methods aim to improve the performance and robustness of communication systems in different scenarios. The first research work proposes a deep learning-bas...
Saved in:
Main Author: | Xie, Yihang |
---|---|
Other Authors: | Teh Kah Chan |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/177369 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Wireless communication and security issues for cyber-physical systems and the Internet-of-Things
by: Burg, Andreas, et al.
Published: (2020) -
Intelligent recruitment system using deep learning with ChatGPT
by: Lim, Timothy Zhong Zheng
Published: (2024) -
Music generation with deep learning techniques
by: Chong, Yi An
Published: (2024) -
Application of generative artificial intelligence for epidemic-based modelling
by: Villaplana Hannah Danielle Ladera
Published: (2024) -
Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface
by: Nagarajan, Aarthy, et al.
Published: (2024)