Spectrum/energy efficient resource allocation for multi-user multi-relay OFDMA cellular networks: a fractional programming approach
Spectrum/energy efficient resource allocation for multi-user multi-relay OFDMA cellular networks: a fractional programming approach
This thesis focuses on the energy efficiency (EE) of relay-aided cellular networks, which is motivated by the ever-increasing need to support higher and higher data rates, while reducing the energy costs. Relaying is a beneficial tool for either increasing the reliability or the coverage area of a wireless network as a result of the reduced communication distances, albeit this might increase the energy consumption in practice. Our approach in this thesis was to study and model progressively more complex and more realistic cellular networks. By utilizing novel transmission protocol designs, we were able to formulate their associated EE resource allocation optimization problems. Thus, efficient tools can be employed for solving these problems to maximize the EE.
Cheung, Kent Tsz Kan
77118f8f-b4ed-4e01-a747-9bb3a3809ad8
June 2015
Cheung, Kent Tsz Kan
77118f8f-b4ed-4e01-a747-9bb3a3809ad8
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Cheung, Kent Tsz Kan
(2015)
Spectrum/energy efficient resource allocation for multi-user multi-relay OFDMA cellular networks: a fractional programming approach.
University of Southampton, Physical Sciences and Engineering, Doctoral Thesis, 290pp.
Record type:
Thesis
(Doctoral)
Abstract
This thesis focuses on the energy efficiency (EE) of relay-aided cellular networks, which is motivated by the ever-increasing need to support higher and higher data rates, while reducing the energy costs. Relaying is a beneficial tool for either increasing the reliability or the coverage area of a wireless network as a result of the reduced communication distances, albeit this might increase the energy consumption in practice. Our approach in this thesis was to study and model progressively more complex and more realistic cellular networks. By utilizing novel transmission protocol designs, we were able to formulate their associated EE resource allocation optimization problems. Thus, efficient tools can be employed for solving these problems to maximize the EE.
More information
Published date: June 2015
Organisations:
University of Southampton, Southampton Wireless Group
Identifiers
Local EPrints ID: 383606
URI: http://eprints.soton.ac.uk/id/eprint/383606
PURE UUID: 9513018e-e1e8-4f6a-b70e-b28f30bbfab2
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Date deposited: 11 Nov 2015 11:32
Last modified: 15 Mar 2024 05:22
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Contributors
Author:
Kent Tsz Kan Cheung
Thesis advisor:
Lajos Hanzo
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