Zhang, Z., Wu, Y., Chu, X. orcid.org/0000-0003-1863-6149 et al. (1 more author) (2019) Resource allocation and power control to maximize the overall system survival time for mobile cells with a D2D underlay. IEEE Communications Letters, 23 (5). pp. 880-883. ISSN 1089-7798
Abstract
The limited battery life of user equipment (UE) is always one of the key concerns of mobile users and a critical factor that could limit device-to-device (D2D) communications. In this letter, considering that UEs may have different residual battery energy levels, we define the overall system survival time as the minimal expected battery lifetime of all transmitting UEs in a cell. We then propose to maximize the overall system survival time by jointly optimizing the resource allocation and power control (RAPC) D2D links and conventional cellular links. Subject to the transmission rate requirement of each link, the joint optimization problem is formulated as a mixed integer non-linear programming problem, which is solved by a game theory-based distributed approach. Simulation results demonstrate that our game theory-based RAPC approach can enormously prolong the overall system survival time as compared with existing RAPC approaches.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Device-to-device communication; Games; Batteries; Nash equilibrium; Resource management; Power control |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 778305 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 May 2019 11:48 |
Last Modified: | 26 Feb 2020 01:38 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/lcomm.2019.2901880 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145975 |