Energy Efficient resource optimization for a downlink noma heterogeneous small-cell network

Fang Fang; Julian Cheng; Zhiguo Ding; H. Vincent Poor

doi:10.1109/SAM.2018.8448840

Energy Efficient resource optimization for a downlink noma heterogeneous small-cell network

Fang Fang
, Julian Cheng
, Zhiguo Ding
, H. Vincent Poor

Electrical Engineering

University of Manchester
University of British Columbia Okanagan
Princeton University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Scopus citations

Abstract

Non-orthogonal multiple access (NOMA) is considered to be a key technology for fifth-generation mobile communication networks due to its superior spectral efficiency. In this paper, the problem of energy efficient subchannel and power allocation is investigated for a downlink NOMA heterogeneous network. The energy efficient resource allocation problem is first formulated as a mixed integer nonconvex optimization problem. By exploiting convex relaxation and dual decomposition techniques, a closed-form expression is derived via a Lagrangian approach. Simulation results show that the proposed algorithm can converge within ten iterations and obtain high system energy efficiency.

Original language	British English
Title of host publication	2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
Publisher	IEEE Computer Society
Pages	51-55
Number of pages	5
ISBN (Print)	9781538647523
DOIs	https://doi.org/10.1109/SAM.2018.8448840
State	Published - 27 Aug 2018
Event	10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 - Sheffield, United Kingdom Duration: 8 Jul 2018 → 11 Jul 2018

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume	2018-July
ISSN (Electronic)	2151-870X

Conference

Conference	10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
Country/Territory	United Kingdom
City	Sheffield
Period	8/07/18 → 11/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/SAM.2018.8448840

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Fang, F., Cheng, J., Ding, Z., & Poor, H. V. (2018). Energy Efficient resource optimization for a downlink noma heterogeneous small-cell network. In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 (pp. 51-55). Article 8448840 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2018-July). IEEE Computer Society. https://doi.org/10.1109/SAM.2018.8448840

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title = "Energy Efficient resource optimization for a downlink noma heterogeneous small-cell network",

abstract = "Non-orthogonal multiple access (NOMA) is considered to be a key technology for fifth-generation mobile communication networks due to its superior spectral efficiency. In this paper, the problem of energy efficient subchannel and power allocation is investigated for a downlink NOMA heterogeneous network. The energy efficient resource allocation problem is first formulated as a mixed integer nonconvex optimization problem. By exploiting convex relaxation and dual decomposition techniques, a closed-form expression is derived via a Lagrangian approach. Simulation results show that the proposed algorithm can converge within ten iterations and obtain high system energy efficiency.",

author = "Fang Fang and Julian Cheng and Zhiguo Ding and Poor, \{H. Vincent\}",

note = "Funding Information: Fang Fang and Zhiguo Ding are with School of Electrical and Electronic Engineering, The University of Manchester, M13 9PL, UK (e-mail: [email protected], [email protected]). Julian Cheng is with School of Engineering, The University of British Columbia, Kelowna, BC, V1V 1V7, Canada (e-mail: [email protected]). H. Vincent Poor is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA (e-mail: [email protected]). This work was supported in part by the U.S. National Science Foundation under Grants CNS-1702808 and ECCS-1647198. Publisher Copyright: {\textcopyright}2018 IEEE.; 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 ; Conference date: 08-07-2018 Through 11-07-2018",

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Fang, F, Cheng, J, Ding, Z & Poor, HV 2018, Energy Efficient resource optimization for a downlink noma heterogeneous small-cell network. in 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018., 8448840, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2018-July, IEEE Computer Society, pp. 51-55, 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018, Sheffield, United Kingdom, 8/07/18. https://doi.org/10.1109/SAM.2018.8448840

Energy Efficient resource optimization for a downlink noma heterogeneous small-cell network. / Fang, Fang; Cheng, Julian; Ding, Zhiguo et al.
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. IEEE Computer Society, 2018. p. 51-55 8448840 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Funding Information: Fang Fang and Zhiguo Ding are with School of Electrical and Electronic Engineering, The University of Manchester, M13 9PL, UK (e-mail: [email protected], [email protected]). Julian Cheng is with School of Engineering, The University of British Columbia, Kelowna, BC, V1V 1V7, Canada (e-mail: [email protected]). H. Vincent Poor is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA (e-mail: [email protected]). This work was supported in part by the U.S. National Science Foundation under Grants CNS-1702808 and ECCS-1647198. Publisher Copyright: ©2018 IEEE.

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Y1 - 2018/8/27

N2 - Non-orthogonal multiple access (NOMA) is considered to be a key technology for fifth-generation mobile communication networks due to its superior spectral efficiency. In this paper, the problem of energy efficient subchannel and power allocation is investigated for a downlink NOMA heterogeneous network. The energy efficient resource allocation problem is first formulated as a mixed integer nonconvex optimization problem. By exploiting convex relaxation and dual decomposition techniques, a closed-form expression is derived via a Lagrangian approach. Simulation results show that the proposed algorithm can converge within ten iterations and obtain high system energy efficiency.

AB - Non-orthogonal multiple access (NOMA) is considered to be a key technology for fifth-generation mobile communication networks due to its superior spectral efficiency. In this paper, the problem of energy efficient subchannel and power allocation is investigated for a downlink NOMA heterogeneous network. The energy efficient resource allocation problem is first formulated as a mixed integer nonconvex optimization problem. By exploiting convex relaxation and dual decomposition techniques, a closed-form expression is derived via a Lagrangian approach. Simulation results show that the proposed algorithm can converge within ten iterations and obtain high system energy efficiency.

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Fang F, Cheng J, Ding Z, Poor HV. Energy Efficient resource optimization for a downlink noma heterogeneous small-cell network. In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. IEEE Computer Society. 2018. p. 51-55. 8448840. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). doi: 10.1109/SAM.2018.8448840

Energy Efficient resource optimization for a downlink noma heterogeneous small-cell network

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