Cover Image

Resource allocation in coordinated multipoint long term evolution – advanced networks

Coordinated Multipoint (CoMP) in Long Term Evolution-Advanced (LTEAdvanced) improves cell-edge data rates and 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....

Full description

Saved in:
Bibliographic Details
Main Author: Katiran, Norshidah
Format: Thesis
Language:English
Published: 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/54883/1/NorshidahKatiranPFKE2015.pdf
http://eprints.utm.my/id/eprint/54883/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:96113
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.54883
record_format eprints
spelling my.utm.548832020-11-11T07:16:29Z http://eprints.utm.my/id/eprint/54883/ Resource allocation in coordinated multipoint long term evolution – advanced networks Katiran, Norshidah TK Electrical engineering. Electronics Nuclear engineering Coordinated Multipoint (CoMP) in Long Term Evolution-Advanced (LTEAdvanced) improves cell-edge data rates and 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/54883/1/NorshidahKatiranPFKE2015.pdf Katiran, Norshidah (2015) Resource allocation in coordinated multipoint long term evolution – advanced networks. PhD thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:96113
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle 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 (LTEAdvanced) improves cell-edge data rates and 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
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
publishDate 2015
url http://eprints.utm.my/id/eprint/54883/1/NorshidahKatiranPFKE2015.pdf
http://eprints.utm.my/id/eprint/54883/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:96113
_version_ 1684653439312723968
score 13.211869

Similar Items