Multi-layer Optimization Aspects of Deep Learning and MIMO-based Communication Systems

Multi-layer Optimization Aspects of Deep Learning and MIMO-based Communication Systems

This dissertation addresses multi-layer optimization aspects of multiple input multiple output (MIMO) and deep learning-based communication systems. The initial focus is on the rate optimization for multi-user MIMO (MU-MIMO) configurations; specifically, multiple access channel (MAC) and interferenc...

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Bibliographic Details
Main Author: Erpek, Tugba
Other Authors: Electrical Engineering
Format: Others
Published: Virginia Tech 2021
Subjects:
Multiple Input Multiple Output (MIMO)
Multi-User MIMO
Multiple Access Channel
Interference Channel
Machine Learning
Deep Learning
Autoencoder
Channel Access
Rate Maximization
Network Control
Online Access:http://hdl.handle.net/10919/102705

Internet

http://hdl.handle.net/10919/102705

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