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Achieving maximum energy-efficiency in multi-relay OFDMA cellular networks: a fractional programming approach

Achieving maximum energy-efficiency in multi-relay OFDMA cellular networks: a fractional programming approach
Achieving maximum energy-efficiency in multi-relay OFDMA cellular networks: a fractional programming approach
In this paper, we consider the joint power and subcarrier allocation problem in the context of maximizing the Energy-Efficiency (EE) of a multi-user, multi-relay Orthogonal Frequency Division Multiple Access (OFDMA) cellular network. Our objective function is formulated as the ratio of the Sum-Rate (SR) over the total power dissipation. We prove that the fractional programming problem considered is quasi-concave and then employ Dinkelbach's method for finding the optimal solution at a low complexity. This method allows us to solve the above-mentioned master problem by solving a series of parameterized concave secondary problems. These secondary problems are solved using a dual decomposition approach, which allows us to further decompose each secondary problem into a number of similar subproblems. We characterize the impact of various system parameters on the attainable EE and Spectral-Efficiency (SE) of the system when employing both EE Maximization (EEM) and SE Maximization(SEM) algorithms. In particular, we observe that increasing the number of relays provides diminishing returns in EE gain, whilst increasing both the number of available subcarriers and the number of active User Equipment~(UE) increases both the EE and SE of the system as a benefit of the increased frequency and multi-user diversity, respectively. Finally, we demonstrate that as expected, increasing the available power tends to improve the SE when using our SEM algorithm. By contrast, given a sufficiently high available power, our EEM algorithm attains the maximum achievable EE and a suboptimal SE.
green radio, energy efficiency, spectrum efficiency, multiple relays, ofdma, dual decomposition, fractional programming, subcarrier/power allocation
2746-2757
Cheung, Kent Tsz Kan
2cd81603-71fa-4ef6-b859-5892fdb08bfd
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Cheung, Kent Tsz Kan
2cd81603-71fa-4ef6-b859-5892fdb08bfd
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Cheung, Kent Tsz Kan, Yang, Shaoshi and Hanzo, Lajos (2013) Achieving maximum energy-efficiency in multi-relay OFDMA cellular networks: a fractional programming approach. IEEE Transactions on Communications, 61 (7), 2746-2757. (doi:10.1109/TCOMM.2013.13.120727).

Record type: Article

Abstract

In this paper, we consider the joint power and subcarrier allocation problem in the context of maximizing the Energy-Efficiency (EE) of a multi-user, multi-relay Orthogonal Frequency Division Multiple Access (OFDMA) cellular network. Our objective function is formulated as the ratio of the Sum-Rate (SR) over the total power dissipation. We prove that the fractional programming problem considered is quasi-concave and then employ Dinkelbach's method for finding the optimal solution at a low complexity. This method allows us to solve the above-mentioned master problem by solving a series of parameterized concave secondary problems. These secondary problems are solved using a dual decomposition approach, which allows us to further decompose each secondary problem into a number of similar subproblems. We characterize the impact of various system parameters on the attainable EE and Spectral-Efficiency (SE) of the system when employing both EE Maximization (EEM) and SE Maximization(SEM) algorithms. In particular, we observe that increasing the number of relays provides diminishing returns in EE gain, whilst increasing both the number of available subcarriers and the number of active User Equipment~(UE) increases both the EE and SE of the system as a benefit of the increased frequency and multi-user diversity, respectively. Finally, we demonstrate that as expected, increasing the available power tends to improve the SE when using our SEM algorithm. By contrast, given a sufficiently high available power, our EEM algorithm attains the maximum achievable EE and a suboptimal SE.

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Published date: July 2013
Keywords: green radio, energy efficiency, spectrum efficiency, multiple relays, ofdma, dual decomposition, fractional programming, subcarrier/power allocation
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 343275
URI: http://eprints.soton.ac.uk/id/eprint/343275
PURE UUID: bd97806a-6d42-43e8-9e6e-f9f6c82f2a22
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 28 Sep 2012 14:15
Last modified: 18 Mar 2024 02:35

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Contributors

Author: Kent Tsz Kan Cheung
Author: Shaoshi Yang
Author: Lajos Hanzo ORCID iD

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