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Coalition Formation Approaches for Cooperative Networks With SWIPT

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Coalition Formation Approaches for Cooperative Networks With SWIPT. / Ren, Jie; Xu, Mai; Chen, Wei et al.
In: IEEE Access, Vol. 5, 11.09.2017, p. 17644-17659.

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Ren, J, Xu, M, Chen, W, Ding, Z & Wang, Z 2017, 'Coalition Formation Approaches for Cooperative Networks With SWIPT', IEEE Access, vol. 5, pp. 17644-17659. https://doi.org/10.1109/ACCESS.2017.2749515

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Vancouver

Ren J, Xu M, Chen W, Ding Z, Wang Z. Coalition Formation Approaches for Cooperative Networks With SWIPT. IEEE Access. 2017 Sept 11;5:17644-17659. doi: 10.1109/ACCESS.2017.2749515

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Ren, Jie ; Xu, Mai ; Chen, Wei et al. / Coalition Formation Approaches for Cooperative Networks With SWIPT. In: IEEE Access. 2017 ; Vol. 5. pp. 17644-17659.

Bibtex

@article{1436cdd1ad0c4476acf562702f189e97,
title = "Coalition Formation Approaches for Cooperative Networks With SWIPT",
abstract = "This paper proposes three game-theoretic approaches for coalition formation in cooperativenetworks 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 DHCFapproaches achieve near-to-optimal performance.",
author = "Jie Ren and Mai Xu and Wei Chen and Zhiguo Ding and Zulin Wang",
year = "2017",
month = sep,
day = "11",
doi = "10.1109/ACCESS.2017.2749515",
language = "English",
volume = "5",
pages = "17644--17659",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Coalition Formation Approaches for Cooperative Networks With SWIPT

AU - Ren, Jie

AU - Xu, Mai

AU - Chen, Wei

AU - Ding, Zhiguo

AU - Wang, Zulin

PY - 2017/9/11

Y1 - 2017/9/11

N2 - This paper proposes three game-theoretic approaches for coalition formation in cooperativenetworks 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 DHCFapproaches achieve near-to-optimal performance.

AB - This paper proposes three game-theoretic approaches for coalition formation in cooperativenetworks 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 DHCFapproaches achieve near-to-optimal performance.

U2 - 10.1109/ACCESS.2017.2749515

DO - 10.1109/ACCESS.2017.2749515

M3 - Journal article

VL - 5

SP - 17644

EP - 17659

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -