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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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 |
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TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering |
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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 |
_version_ |
1747830860608962560 |