Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic

An energy-efficient design is proposed under specific statistical quality-of-service (QoS) guarantees for delay-sensitive traffic in the downlink orthogonal frequency-division multiple-access networks. This design is based on Wu's effective capacity (EC) concept, which characterizes the maximum...

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Main Authors: Taufik Abrao, Lucas Dias Hiera Sampaio, Shaoshi Yang, Kent Tsz Kan Cheung, Paul Jean Etienne Jeszensky, Lajos Hanzo
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7407606/
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author Taufik Abrao
Lucas Dias Hiera Sampaio
Shaoshi Yang
Kent Tsz Kan Cheung
Paul Jean Etienne Jeszensky
Lajos Hanzo
author_facet Taufik Abrao
Lucas Dias Hiera Sampaio
Shaoshi Yang
Kent Tsz Kan Cheung
Paul Jean Etienne Jeszensky
Lajos Hanzo
author_sort Taufik Abrao
collection DOAJ
description An energy-efficient design is proposed under specific statistical quality-of-service (QoS) guarantees for delay-sensitive traffic in the downlink orthogonal frequency-division multiple-access networks. This design is based on Wu's effective capacity (EC) concept, which characterizes the maximum throughput of a system subject to statistical delay-QoS requirements at the data-link layer. In the particular context considered, our main contributions consist of quantifying the effective energy-efficiency (EEE)-versus-EC tradeoff and characterizing the delay-sensitive traffic as a function of the QoS-exponent θ, which expresses the exponential decay rate of the delay-QoS violation probabilities. Upon exploiting the properties of fractional programming, the originally quasi-concave EEE optimization problem having a fractional form is transformed into a subtractive optimization problem by applying Dinkelbach's method. As a result, an iterative inner-outer loop-based resource allocation algorithm is conceived for efficiently solving the transformed EEE optimization problem. Our simulation results demonstrate that the proposed scheme converges within a few Dinkelbach algorithm's iterations to the desired solution accuracy. Furthermore, the impact of the circuitry power, the QoS-exponent, and the power amplifier inefficiency is characterized numerically. These results reveal that the optimally allocated power maximizing the EEE decays exponentially with respect to both the circuitry power and the QoS-exponent, while decaying linearly with respect to the power amplifier inefficiency.
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spelling doaj.art-f8852527944e449294f93bfe9ecc58642022-12-21T18:18:30ZengIEEEIEEE Access2169-35362016-01-01477479110.1109/ACCESS.2016.25306887407606Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive TrafficTaufik Abrao0Lucas Dias Hiera Sampaio1Shaoshi Yang2Kent Tsz Kan Cheung3Paul Jean Etienne Jeszensky4Lajos Hanzo5Electrical Engineering Department, Londrina State University, Paraná, BrazilElectrical Engineering Department, Londrina State University, Paraná, BrazilSchool of Electronics and Computer Science, University of Southampton, Southampton, U.K.School of Electronics and Computer Science, University of Southampton, Southampton, U.K.Polytechnic School of the University of Sao Paulo, São Paulo, BrazilSchool of Electronics and Computer Science, University of Southampton, Southampton, U.K.An energy-efficient design is proposed under specific statistical quality-of-service (QoS) guarantees for delay-sensitive traffic in the downlink orthogonal frequency-division multiple-access networks. This design is based on Wu's effective capacity (EC) concept, which characterizes the maximum throughput of a system subject to statistical delay-QoS requirements at the data-link layer. In the particular context considered, our main contributions consist of quantifying the effective energy-efficiency (EEE)-versus-EC tradeoff and characterizing the delay-sensitive traffic as a function of the QoS-exponent θ, which expresses the exponential decay rate of the delay-QoS violation probabilities. Upon exploiting the properties of fractional programming, the originally quasi-concave EEE optimization problem having a fractional form is transformed into a subtractive optimization problem by applying Dinkelbach's method. As a result, an iterative inner-outer loop-based resource allocation algorithm is conceived for efficiently solving the transformed EEE optimization problem. Our simulation results demonstrate that the proposed scheme converges within a few Dinkelbach algorithm's iterations to the desired solution accuracy. Furthermore, the impact of the circuitry power, the QoS-exponent, and the power amplifier inefficiency is characterized numerically. These results reveal that the optimally allocated power maximizing the EEE decays exponentially with respect to both the circuitry power and the QoS-exponent, while decaying linearly with respect to the power amplifier inefficiency.https://ieeexplore.ieee.org/document/7407606/5Geffective energy-efficiency (EEE)statistical quality-of-service (QoS)delay-sensitive trafficDinkelbach’s methodeffective capacity
spellingShingle Taufik Abrao
Lucas Dias Hiera Sampaio
Shaoshi Yang
Kent Tsz Kan Cheung
Paul Jean Etienne Jeszensky
Lajos Hanzo
Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
IEEE Access
5G
effective energy-efficiency (EEE)
statistical quality-of-service (QoS)
delay-sensitive traffic
Dinkelbach’s method
effective capacity
title Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
title_full Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
title_fullStr Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
title_full_unstemmed Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
title_short Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
title_sort energy efficient ofdma networks maintaining statistical qos guarantees for delay sensitive traffic
topic 5G
effective energy-efficiency (EEE)
statistical quality-of-service (QoS)
delay-sensitive traffic
Dinkelbach’s method
effective capacity
url https://ieeexplore.ieee.org/document/7407606/
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