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Energy efficient subchannel and power allocation for the software defined heterogeneous VLC and RF networks

Energy efficient subchannel and power allocation for the software defined heterogeneous VLC and RF networks
Energy efficient subchannel and power allocation for the software defined heterogeneous VLC and RF networks

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 heterogeneous networks. In this paper, we introduce the software defined philosophy into orthogonal frequency division multiple access (OFDMA) based heterogeneous software-defined and twinned VLC and RF small-cell networks. 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.

0733-8716
1-13
Zhang, Haijun
d71f4ebb-34ef-4c27-a2d9-0c9cda44c457
Liu, Na
0b0cd2bf-9143-4145-b3f1-1a489d663514
Long, Keping
fdeb0ea4-692a-42e2-8af0-16b852d4c98c
Cheng, Julian
f24f1d99-1141-4d69-8ec7-efdabc94c84d
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
Cheng, Julian
f24f1d99-1141-4d69-8ec7-efdabc94c84d
Leung, Victor C.M.
dc266764-ec75-40a3-abfd-c618510aa49f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Haijun, Liu, Na, Long, Keping, Cheng, Julian, Leung, Victor C.M. and Hanzo, Lajos (2018) Energy efficient subchannel and power allocation for the software defined heterogeneous VLC and RF networks. IEEE Journal on Selected Areas in Communications, 1-13. (doi:10.1109/JSAC.2018.2815478).

Record type: Article

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 heterogeneous networks. In this paper, we introduce the software defined philosophy into orthogonal frequency division multiple access (OFDMA) based heterogeneous software-defined and twinned VLC and RF small-cell networks. 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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1570404495 v20180304 - Accepted Manuscript
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More information

Accepted/In Press date: 10 March 2018
e-pub ahead of print date: 12 March 2018

Identifiers

Local EPrints ID: 418863
URI: http://eprints.soton.ac.uk/id/eprint/418863
ISSN: 0733-8716
PURE UUID: 9ae0873b-4f3b-4bf0-bb20-13cf442cbf88
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 23 Mar 2018 17:30
Last modified: 07 Oct 2020 01:33

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