A two-level game theory approach for joint relay selection and resource allocation in network coding assisted D2D communications
A two-level game theory approach for joint relay selection and resource allocation in network coding assisted D2D communications
Device-to-device (D2D) communication, which enables direct transmissions between mobile devices to improve spectrum efficiency, is one of the preferable candidate technologies for the next generation cellular network. Network coding, on the other hand, is widely used to improve throughput in ad hoc networks. Thus, the performance of D2D communications in cellular networks can potentially benefit from network coding. Aiming to improve the achievable capacity of D2D communications, we propose a system with inter-session network coding enabled to assist D2D transmissions. We formulate the joint problem of relay selection and resource allocation in network coding assisted D2D communications, and obtain the overall capacity of the network under complex interference conditions as a function of the relay selection and resource allocation. To solve the formulated problem, we propose a two-level decentralized approach termed NC-D2D, which solves the relay selection and resource allocation problems alternatively to obtain stable solutions for these two problems. Specifically, a coalition formation game associates relays with D2D pairs to enable network coding aided transmissions, and a greedy algorithm based game allocates limited cellular resources to D2D pairs and relays in NC-D2D, respectively. The performances of the proposed scheme is evaluated through extensive simulations to prove its superiority.
2697-2711
Gao, Chuhan
d3941b3e-88fc-43bc-8c99-753f78596e03
Li, Yong
ac705db5-b891-4d14-ac43-a87acd05cdd7
Zhao, Yulei
abf73a2f-fde2-4103-8c0c-d87055d933b3
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
October 2017
Gao, Chuhan
d3941b3e-88fc-43bc-8c99-753f78596e03
Li, Yong
ac705db5-b891-4d14-ac43-a87acd05cdd7
Zhao, Yulei
abf73a2f-fde2-4103-8c0c-d87055d933b3
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Gao, Chuhan, Li, Yong, Zhao, Yulei and Chen, Sheng
(2017)
A two-level game theory approach for joint relay selection and resource allocation in network coding assisted D2D communications.
IEEE Transactions on Mobile Computing, 16 (10), .
(doi:10.1109/TMC.2016.2642190).
Abstract
Device-to-device (D2D) communication, which enables direct transmissions between mobile devices to improve spectrum efficiency, is one of the preferable candidate technologies for the next generation cellular network. Network coding, on the other hand, is widely used to improve throughput in ad hoc networks. Thus, the performance of D2D communications in cellular networks can potentially benefit from network coding. Aiming to improve the achievable capacity of D2D communications, we propose a system with inter-session network coding enabled to assist D2D transmissions. We formulate the joint problem of relay selection and resource allocation in network coding assisted D2D communications, and obtain the overall capacity of the network under complex interference conditions as a function of the relay selection and resource allocation. To solve the formulated problem, we propose a two-level decentralized approach termed NC-D2D, which solves the relay selection and resource allocation problems alternatively to obtain stable solutions for these two problems. Specifically, a coalition formation game associates relays with D2D pairs to enable network coding aided transmissions, and a greedy algorithm based game allocates limited cellular resources to D2D pairs and relays in NC-D2D, respectively. The performances of the proposed scheme is evaluated through extensive simulations to prove its superiority.
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NC-D2D
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Accepted/In Press date: 28 November 2016
e-pub ahead of print date: 20 December 2016
Published date: October 2017
Identifiers
Local EPrints ID: 414039
URI: http://eprints.soton.ac.uk/id/eprint/414039
ISSN: 1536-1233
PURE UUID: 87fa5773-d4eb-458f-bced-0b5a37e84039
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Date deposited: 13 Sep 2017 16:31
Last modified: 15 Mar 2024 15:58
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Author:
Chuhan Gao
Author:
Yong Li
Author:
Yulei Zhao
Author:
Sheng Chen
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