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Multi-relay selection in energy-harvesting cooperative wireless networks: game-theoretic modeling and analysis

  • Mohammed W. BaidasEmail author
  • Emad Alsusa
  • Motasem Alfarra
  • Mubarak Al-Mubarak
Article
  • 57 Downloads

Abstract

This paper studies distributed multi-relay selection in energy-harvesting cooperative wireless networks and models it as an Indian Buffet Game (IBG). Particularly, the IBG is utilized to model the multi-relay selection decisions of network source nodes, while accounting for negative network externality. Two scenarios are considered: (1) constrained selections (CS), and (2) unconstrained selections (US). In the former scenario, each source is constrained to a maximum number of relay selections; while in the latter scenario, the source nodes can select as many relays as possible. Since the relays are energy-harvesting—and thus intermittently harvest random amounts of energy—the accumulated energy at each relay is unknown to the source nodes, leading to uncertain relays’ energy states. In turn, a non-Bayesian learning (NBL) algorithm is devised for the source nodes to learn the relays’ energy states. After that, two distributed best-response (BR) recursive algorithms, namely BR-CS and BR-US, are proposed to allow the source nodes to make multi-relay selection decisions, while guaranteeing subgame perfect Nash equilibrium. Simulation results are presented to verify the efficacy of the proposed distributed NBL and multi-relay selection algorithms. Specifically, the NBL is shown to efficiently learn the true relays’ energy states. More importantly, the BR-CS algorithm is shown to be comparable to the centralized multi-relay selection—and superior to other relay selection schemes—in terms of network sum-rate improvement (and utility). Lastly, the number of relay selections of the BR-CS algorithm must be constrained to the minimum so as to reduce complexity and fully exploit diversity gains.

Keywords

Cooperation Distributed Energy-harvesting Game theory Learning Multi-relay selection 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019
corrected publication 2019

Authors and Affiliations

  1. 1.Department of Electrical Engineering, College of Engineering and PetroleumKuwait UniversityKuwait CityKuwait
  2. 2.School of Electrical and Electronic EngineeringUniversity of ManchesterManchesterUK
  3. 3.Department of Electrical EngineeringKing Abdullah University of Science and TechnologyThuwalSaudi Arabia
  4. 4.Department of Electrical and Computer EngineeringOhio State UniversityColumbusUS

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