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Power Allocation for D2D Communications With SWIPT
- Source :
- IEEE Transactions on Wireless Communications. 19:2308-2320
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- Power allocation plays a vital role in coordinating interference between Device-to-Device (D2D) and cellular communications, and when power allocation meets simultaneous wireless information and power transfer (SWIPT), the energy efficiency of D2D communications can be significantly improved. While numerous research studies have been conducted on D2D power allocation, most of these studies do not take the presence of SWIPT into consideration. Toward a remedy for this issue, we investigate the problem of D2D power allocation with SWIPT power-splitting architecture, and address it by establishing a novel game-theoretic model. Two power allocation mechanisms are proposed to simultaneously allocate transmit power and choose power splitting ratio for D2D communications. We also develop two pricing strategies for the proposed power allocation mechanisms based on the social utility (sum utility of both D2D and cellular communications) maximization. Simulation results validate theoretical analyses and the effectiveness of the proposed mechanisms. In particular, we find through performance comparisons that our developed pricing strategies are light-weighted and energy-efficient, and the distributed power allocation mechanism is responsive to the mobility of D2D users. This work was supported by the Chongqing Key Laboratory of Computer Networking and Communications. The associate editor coordinating the review of this article and approving it for publication was M. Dong. (Corresponding author: Jun Huang.) Jun Huang is with the School of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China (e-mail: huangj@ieee.org).
- Subjects :
- game theory
simultaneous wireless information and power transfer (SWIPT)
Computer science
business.industry
Applied Mathematics
Distributed computing
Device-to-Device (D2D) communications
Distributed power
020206 networking & telecommunications
02 engineering and technology
power allocation
Transmitter power output
Computer Science Applications
Cellular communication
Pricing strategies
0202 electrical engineering, electronic engineering, information engineering
Maximum power transfer theorem
Wireless
Electrical and Electronic Engineering
business
Efficient energy use
Subjects
Details
- ISSN :
- 15582248 and 15361276
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Wireless Communications
- Accession number :
- edsair.doi.dedup.....1566e88e0272c79818bf770503be1c8f
- Full Text :
- https://doi.org/10.1109/twc.2019.2963833