Overlapping Coalition Formation Games in Wireless by Tianyu Wang, Lingyang Song, Walid Saad, Zhu Han

By Tianyu Wang, Lingyang Song, Walid Saad, Zhu Han

This short introduces overlapping coalition formation video games (OCF games), a singular mathematical framework from cooperative online game concept that may be used to version, layout and learn cooperative situations in destiny instant communique networks.

The suggestions of OCF video games are defined, and a number of other algorithmic features are studied. additionally, a number of significant software eventualities are mentioned. those purposes are drawn from quite a few fields that come with radio source allocation in dense instant networks, cooperative spectrum sensing for cognitive radio networks, and source administration for crowd sourcing. for every program, using OCF video games is mentioned intimately as a way to convey how this framework can be utilized to resolve correct instant networking problems.

Overlapping Coalition Formation video games in instant communique Networks presents researchers, scholars and practitioners with a concise evaluate of present works during this rising region, exploring the proper primary theories, key strategies, and critical purposes.

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Overlapping Coalition Formation Games in Wireless Communication Networks

This short introduces overlapping coalition formation video games (OCF games), a unique mathematical framework from cooperative online game conception that may be used to version, layout and study cooperative eventualities in destiny instant communique networks. The thoughts of OCF video games are defined, and a number of other algorithmic points are studied.

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N ) as the local threshold vector, a 1 × N vector K = (k1 , k2 , . . , k N ) as the fusion rule vector, and an N × N binary matrix = {ωi, j }, ωi, j = {0, 1} as 32 3 Cooperative Spectrum Sensing in Cognitive Radio the reporting matrix where ωi, j = 1 implies that SU i’s report is received by SU j. Note that the “report-to” sets Si , i ∈ N and the “report-from” sets Ri , i ∈ N are given by the rows and columns of , respectively. To evaluate the performance of DCS, we consider two criteria that are commonly used in the literature, the Q m + Q f criterion [8] and Q m /Q f criterion [13].

Lett. 15(2), 214–216 (2011) 13. R. J. Neely, Opportunistic cooperation in cognitive femtocell networks. IEEE Trans. Veh. Technol. 30(3), 607–616 (2012) 14. N. Gharehshiran, A. Attar, V. IEEE Trans. Commun. 61(1), 325–334 (2013) 15. B. Soret, H. I. Pedersen, C. Rosa, Multicell cooperation for LTE-advanced heterogeneous network scenarios. IEEE Wireless Commun. 20(1), 27–34 (2013) 16. F. Pantisano, M. Bennis, W. Saad, R. Verdone, M. Latva-aho, Coalition formation games for femtocell interference management: a recursive core approach, in Proceedings of the IEEE Wireless Communication Network Conference, Quintana-Roo, Mexico (2011) 17.

We have: ϒ(CS f ) ≥ ϒ(CS opt ) NU ( Ri ∈CS 0 U (|Ri |) Ri ∈CS 0 |Ri |/N ) . 24), the optimal social welfare satisfies: ϒ(CS opt ) = U (|Ri |) ≤ NU ( Ri ∈CS opt |Ri |/N ). 37) Ri ∈CS opt In the overlapping algorithm, as we noted, each SU joins as many coalitions as possible in the initialization period of the CF stage. Therefore, the initial coalitional structure CS 0 has the largest sum coalition size among all the feasible coalitional structures. Note that a switch operation does not change the sum size of the involved coalitions.

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