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Energy efficient resource allocation for the software-defined VLC and RF small cells

Energy efficient resource allocation for the software-defined VLC and RF small cells
Energy efficient resource allocation for the software-defined VLC and RF small cells

Visible light communication (VLC) is considered as a promising candidate to improve the performance of indoor communication as the complement of wireless radio frequency (RF) communications due to the scarcity of RF resources. Combining VLC with software-defined small cell networks will substantially improve the user data rates in indoor environments. In this paper, we introduce the software defined philosophy into orthogonal frequency division multiple access (OFDMA) based heterogeneous twinned VLC and RF small-cell systems. The pivotal issues of energy efficient subchannel and power allocation are investigated in the context of software-defined VLC and RF small-cell networks. We formulate the energy efficient resource allocation problem as a non-convex optimization problem, and then transform it into a convex one using Dinkelbach's method. Additionally, distributed subchannel and power allocation algorithms for both VLC and RF are proposed for solving the problem based on the powerful alternative direction method of multipliers (ADMM). Simulation results verify the effectiveness of resource allocation algorithms conceived for heterogeneous software-defined twinned VLC and RF small-cell networks in terms of its good convergence and overall performance.

energy efficiency, optimization, power control, resource allocation, small cell, VLC
1-6
Institute of Electrical and Electronics Engineers Inc.
Zhang, Haijun
d71f4ebb-34ef-4c27-a2d9-0c9cda44c457
Liu, Na
0b0cd2bf-9143-4145-b3f1-1a489d663514
Long, Keping
fdeb0ea4-692a-42e2-8af0-16b852d4c98c
Leung, Victor C.M.
dc266764-ec75-40a3-abfd-c618510aa49f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Haijun
d71f4ebb-34ef-4c27-a2d9-0c9cda44c457
Liu, Na
0b0cd2bf-9143-4145-b3f1-1a489d663514
Long, Keping
fdeb0ea4-692a-42e2-8af0-16b852d4c98c
Leung, Victor C.M.
dc266764-ec75-40a3-abfd-c618510aa49f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Haijun, Liu, Na, Long, Keping, Leung, Victor C.M. and Hanzo, Lajos (2018) Energy efficient resource allocation for the software-defined VLC and RF small cells. In 2017 IEEE/CIC International Conference on Communications in China (ICCC). Institute of Electrical and Electronics Engineers Inc. pp. 1-6 . (doi:10.1109/ICCChina.2017.8330381).

Record type: Conference or Workshop Item (Paper)

Abstract

Visible light communication (VLC) is considered as a promising candidate to improve the performance of indoor communication as the complement of wireless radio frequency (RF) communications due to the scarcity of RF resources. Combining VLC with software-defined small cell networks will substantially improve the user data rates in indoor environments. In this paper, we introduce the software defined philosophy into orthogonal frequency division multiple access (OFDMA) based heterogeneous twinned VLC and RF small-cell systems. The pivotal issues of energy efficient subchannel and power allocation are investigated in the context of software-defined VLC and RF small-cell networks. We formulate the energy efficient resource allocation problem as a non-convex optimization problem, and then transform it into a convex one using Dinkelbach's method. Additionally, distributed subchannel and power allocation algorithms for both VLC and RF are proposed for solving the problem based on the powerful alternative direction method of multipliers (ADMM). Simulation results verify the effectiveness of resource allocation algorithms conceived for heterogeneous software-defined twinned VLC and RF small-cell networks in terms of its good convergence and overall performance.

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More information

Published date: 5 April 2018
Venue - Dates: 2017 IEEE/CIC International Conference on Communications in China, , Qingdao, China, 2017-10-22 - 2017-10-24
Keywords: energy efficiency, optimization, power control, resource allocation, small cell, VLC

Identifiers

Local EPrints ID: 423248
URI: http://eprints.soton.ac.uk/id/eprint/423248
PURE UUID: c21876d2-f836-459e-82d2-2ee95cca4c3c
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 19 Sep 2018 16:31
Last modified: 23 Jul 2022 01:33

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Contributors

Author: Haijun Zhang
Author: Na Liu
Author: Keping Long
Author: Victor C.M. Leung
Author: Lajos Hanzo ORCID iD

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