Coalition Formation Approaches for Cooperative Networks With SWIPT

Ren, Jie and Xu, Mai and Chen, Wei and Ding, Zhiguo and Wang, Zulin (2017) Coalition Formation Approaches for Cooperative Networks With SWIPT. IEEE Access, 5. pp. 17644-17659. ISSN 2169-3536

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Abstract

This paper proposes three game-theoretic approaches for coalition formation in cooperative networks with simultaneous wireless information and power transfer. To improve the reception reliability of destinations with poor channel conditions, we first divide destinations in the network into two types: Type I and Type II. Type I destinations refer to the destinations with capability of successful information decoding and energy harvesting, which serve as relays to help other destinations. Type II destinations have poor connections to the source and hence compete to obtain help from Type I destinations. Accordingly, cooperative relaying strategies for the two types of destinations are proposed on the basis of coalition formation game. First, we propose to utilize the dynamic programming (DP) approach to obtain the optimal coalition structure in the network, though at the cost of heavy time and storage complexity. Then, two distributed hedonic coalition formation (DHCF) approaches are developed to generate coalition structures, which are more efficient than the DP approach. Simulation results show that all proposed approaches outperform the non-cooperative one (i.e., direct link transmission). The results also illustrate that the DP approach achieves the largest data rate and lowest outage probability for destinations, and the DHCF approaches achieve near-to-optimal performance.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Access
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2200
Subjects:
?? general engineeringgeneral computer sciencegeneral materials scienceengineering(all)computer science(all)materials science(all) ??
ID Code:
88301
Deposited By:
Deposited On:
17 Oct 2017 13:28
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 10:32