Resource allocation in coordinated multipoint long term evolution-advanced networks

Coordinated Multipoint (CoMP) in Long Term Evolution-Advanced (LTE- Advanced) improves the cell-edge data rates and the network spectral efficiency through base station coordination. In order to achieve high quality of service (QoS) in CoMP network, resource allocation approach is one of the main...

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Main Author: Katiran, Norshidah
Format: Thesis
Language:English
Published: 2015
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Online Access:http://eprints.uthm.edu.my/1743/1/24p%20NORSHIDAH%20KATIRAN.pdf
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spelling my-uthm-ep.17432021-10-10T04:39:56Z Resource allocation in coordinated multipoint long term evolution-advanced networks 2015-07 Katiran, Norshidah TK Electrical engineering. Electronics Nuclear engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Coordinated Multipoint (CoMP) in Long Term Evolution-Advanced (LTE- Advanced) improves the cell-edge data rates and the network spectral efficiency through base station coordination. In order to achieve high quality of service (QoS) in CoMP network, resource allocation approach is one of the main challenges. The resource allocation strategies of cells in CoMP network affect each other’s performance. Thus, the resource allocation approach should consider various diversities offered in multiuser wireless networks, particularly in frequency, spatial and time dimensions. The primary objective of this research is to develop resource allocation strategy for CoMP network that can provide high QoS. The resource allocation algorithm is developed through three phases, namely Low-Complexity Resource Allocation (LRA), Optimized Resource Allocation (ORA) and Cross-Layer Design of ORA (CLD-ORA). The LRA algorithm is a three-step resource allocation scheme that consists of user selection module, subcarrier allocation module and power allocation module which are performed sequentially in a multi-antenna CoMP network. The proposed ORA algorithm enhances throughput in LRA while ensuring fairness. ORA is formulated based on Lagrangian method and optimized using Particle Swarm Optimization (PSO). The design of CLD-ORA algorithm is an enhancement of the ORA algorithm with resource block (RB) scheduling scheme at medium access control (MAC) layer. Simulation study shows that the ORA algorithm improves the network sum-rate and fairness index up to 70% and 25%, respectively and reduces the average transmit power by 41% in relative to LRA algorithm. The CLD-ORA algorithm has further enhanced the LRA and ORA algorithms with network sum-rate improvement of 77% and 33%, respectively. The proposed resource allocation algorithm has been proven to provide a significant improved performance for CoMP LTE-Advanced network and can be extended to future 5G network. 2015-07 Thesis http://eprints.uthm.edu.my/1743/ http://eprints.uthm.edu.my/1743/1/24p%20NORSHIDAH%20KATIRAN.pdf text en public phd doctoral Universiti Teknologi Malaysia Faculty of Electrical Engine
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
TK Electrical engineering
Electronics Nuclear engineering
Katiran, Norshidah
Resource allocation in coordinated multipoint long term evolution-advanced networks
description Coordinated Multipoint (CoMP) in Long Term Evolution-Advanced (LTE- Advanced) improves the cell-edge data rates and the network spectral efficiency through base station coordination. In order to achieve high quality of service (QoS) in CoMP network, resource allocation approach is one of the main challenges. The resource allocation strategies of cells in CoMP network affect each other’s performance. Thus, the resource allocation approach should consider various diversities offered in multiuser wireless networks, particularly in frequency, spatial and time dimensions. The primary objective of this research is to develop resource allocation strategy for CoMP network that can provide high QoS. The resource allocation algorithm is developed through three phases, namely Low-Complexity Resource Allocation (LRA), Optimized Resource Allocation (ORA) and Cross-Layer Design of ORA (CLD-ORA). The LRA algorithm is a three-step resource allocation scheme that consists of user selection module, subcarrier allocation module and power allocation module which are performed sequentially in a multi-antenna CoMP network. The proposed ORA algorithm enhances throughput in LRA while ensuring fairness. ORA is formulated based on Lagrangian method and optimized using Particle Swarm Optimization (PSO). The design of CLD-ORA algorithm is an enhancement of the ORA algorithm with resource block (RB) scheduling scheme at medium access control (MAC) layer. Simulation study shows that the ORA algorithm improves the network sum-rate and fairness index up to 70% and 25%, respectively and reduces the average transmit power by 41% in relative to LRA algorithm. The CLD-ORA algorithm has further enhanced the LRA and ORA algorithms with network sum-rate improvement of 77% and 33%, respectively. The proposed resource allocation algorithm has been proven to provide a significant improved performance for CoMP LTE-Advanced network and can be extended to future 5G network.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Katiran, Norshidah
author_facet Katiran, Norshidah
author_sort Katiran, Norshidah
title Resource allocation in coordinated multipoint long term evolution-advanced networks
title_short Resource allocation in coordinated multipoint long term evolution-advanced networks
title_full Resource allocation in coordinated multipoint long term evolution-advanced networks
title_fullStr Resource allocation in coordinated multipoint long term evolution-advanced networks
title_full_unstemmed Resource allocation in coordinated multipoint long term evolution-advanced networks
title_sort resource allocation in coordinated multipoint long term evolution-advanced networks
granting_institution Universiti Teknologi Malaysia
granting_department Faculty of Electrical Engine
publishDate 2015
url http://eprints.uthm.edu.my/1743/1/24p%20NORSHIDAH%20KATIRAN.pdf
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