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Game Theoretic Resource Allocation for D2D MIMO Heterogenous Networks

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Abstract

In this paper, we formulate a sum-rate maximization problem for device-to-device (D2D) communications underlaying downlink multiple-input multiple-output heterogenous cellular networks subject to the quality of service constraints and the interference temperature constraint. Since it is difficult to obtain the optimal solution due to the high complexity, game theory is used to study the resource allocation in such networks. The proposed game is a potential game where the existence of Nash equilibrium (NE) is guaranteed. A practical resource allocation algorithm based on better response dynamic is proposed. We prove that the proposed algorithm can converge to a feasible NE. Numerical results show that the proposed algorithm can achieve near optimal sum rate performance with low complexity.

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Acknowledgments

This work is supported by the National Nature Science Foundation of China under Grant 61201218 and 61201241, and by the Jiangsu Province Natural Science Foundation under Grant BK2012056, and by the Project funded by China Postdoctoral Science Foundation under Grant Nos. 2013M532207 and 2014T70966.

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Authors and Affiliations

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing, China

    Wei Zhong, Bing Fang & Zuping Qian

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  1. Wei Zhong
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  2. Bing Fang
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  3. Zuping Qian
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Correspondence to Wei Zhong.

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Zhong, W., Fang, B. & Qian, Z. Game Theoretic Resource Allocation for D2D MIMO Heterogenous Networks. Wireless Pers Commun 84, 273–285 (2015). https://doi.org/10.1007/s11277-015-2607-8

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  • DOI: https://doi.org/10.1007/s11277-015-2607-8

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