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A Robust Stackelberg Game Approach for Joint Relay Selection and Optimal Power Allocation for Cooperative Device-to-Device Communication Under Channel Uncertainties

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Abstract

Device-to-device (D2D) communication enables direct communication among users in close proximity, bypassing the core network. With relay assistance, D2D users can have the leverage of transmitting data directly over long distances with increased throughput. However, due to dynamic nature of wireless networks, there may be uncertainty in the channel parameters known to a user. In this paper, the authors address the joint problem of relay selection and optimal power allocation in single-source multi-relay D2D networks when the perfect channel state information for relay channels is unknown. The uncertainty has been modeled as a bounded difference between actual and nominal values. An incentive-based robust Stackelberg game is proposed in which the relay devices determine the price of power allocated to them by the source device. A closed form expression for the optimal power was obtained. Further, the Stackelberg equilibrium was derived and its existence and uniqueness was demonstrated. The performance of the proposed game with the nominal game was compared. Simulation results confirm the effectiveness of the robust game-theoretic solution in an incomplete information environment.

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References

  1. Bangerter, B., Talwar, S., Arefi, R., & Stewart, K. (2014). Networks and devices for the 5G era. IEEE Communications Magazine,52(2), 90–96.

    Article  Google Scholar 

  2. Lin, X., Andrews, J., Ghosh, A., & Ratasuk, R. (2014). An overview of 3GPP device-to-device proximity services. IEEE Communications Magazine,52(4), 40–48.

    Article  Google Scholar 

  3. Boccardi, F., Heath, R. W., Lozano, A., Marzetta, T. L., & Popovski, P. (2014). Five disruptive technology directions for 5G. IEEE Communications Magazine,52(2), 74–80.

    Article  Google Scholar 

  4. Lamba, A. K., Kumar, R., & Sharma, S. (2018). A coalitional game-based integrated framework for optimal power allocation in multirelay cooperative environment. International Journal of Communication Systems,31(1), e3409.

    Article  Google Scholar 

  5. Raghothaman, B., Sternberg, G., Kaur, S., Pragada, R., Deng, T., & Vanganuru, K. (2011). System architecture for a cellular network with cooperative mobile relay. In IEEE vehicular technology conference (pp. 1–5).

  6. Ma, X., Yin, R., Yu, G., & Zhang, Z. (2012). A distributed relay selection method for relay assisted device-to-device communication system. In IEEE 23rd international symposium on personal indoor and mobile radio communications (pp. 1020–1024).

  7. Lee, D., Kim, S. I., Lee, J., & Heo, J. (2012). Performance of multihop decode-and-forward relaying assisted device-to-device communication underlaying cellular networks. In IEEE international symposium on information theory and its applications (pp. 455–459).

  8. Bauso, D. (2016). Game theory with engineering applications. Philadelphia: SIAM.

    Book  Google Scholar 

  9. Kumar, R. (2013). Game theoretic pattern analysis for identification of odors/gases using response of a poorly selective sensor array. IEEE Sensors Journal,13(3), 1110–1116.

    Article  Google Scholar 

  10. MacKenzie, A. B., & DaSilva, L. A. (2006). Game theory for wireless engineers. San Rafael: Morgan & Claypool Publisher.

    Book  Google Scholar 

  11. Liang, X., Chen, M., & Leung, V. (2011). A game-theoretic approach for relay assignment over distributed wireless networks. Wireless Communications and Mobile Computing,11(12), 1646–1656.

    Article  Google Scholar 

  12. Huang, J., Han, Z., Chiang, M., & Poor, H. V. (2008). Auction-based resource allocation for multi-relay asynchronous cooperative networks. In IEEE international conference on acoustics, speech and signal processing (pp. 5356–5359).

  13. Yin, R., Zhong, C., Yu, G., Zhang, Z., Wong, K. K., & Chen, X. (2016). Joint spectrum and power allocation for D2D communications underlaying cellular networks. IEEE Transactions on Vehicular Technology,65(4), 2182–2195.

    Article  Google Scholar 

  14. Lyu, J., Chew, Y. H., & Wong, W. C. (2016). A Stackelberg game model for overlay D2D transmission with heterogeneous rate requirements. IEEE Transactions on Vehicular Technology,65(10), 8461–8475.

    Article  Google Scholar 

  15. Zhang, Y., Xu, Y., Gao, M., Zhang, Q., Li, H., Ahmad, I., & Feng, Z. (2015). Resource management in device-to-device underlaying cellular network. In IEEE wireless communications and networking conference (pp. 1631–1636).

  16. Della Penda, D., Abrardo, A., Moretti, M., & Johansson, M. (2016). Potential games for subcarrier allocation in multi-cell networks with D2D communications. In IEEE International Conference on Communications (pp. 1-6).

  17. Zhong, W., Fang, Y., Jin, S., Wong, K. K., Zhong, S., & Qian, Z. (2015). Joint resource allocation for device-to-device communications underlaying uplink MIMO cellular networks. IEEE Journal on Selected Areas in Communications,33(1), 41–54.

    Article  Google Scholar 

  18. Wang, F., Xu, C., Song, L., & Han, Z. (2015). Energy-efficient resource allocation for device-to-device underlay communication. IEEE Transactions on Wireless Communications,14(4), 2082–2092.

    Article  Google Scholar 

  19. Wu, D., Wang, J., Hu, R. Q., Cai, Y., & Zhou, L. (2014). Energy-efficient resource sharing for mobile device-to-device multimedia communications. IEEE Transactions on Vehicular Technology,63(5), 2093–2103.

    Article  Google Scholar 

  20. Li, Y., Jin, D., Yuan, J., & Han, Z. (2014). Coalitional games for resource allocation in the device-to-device uplink underlaying cellular networks. IEEE Transactions on Wireless Communications,13(7), 3965–3977.

    Article  Google Scholar 

  21. Wu, D., Cai, Y., Hu, R. Q., & Qian, Y. (2015). Dynamic distributed resource sharing for mobile D2D communications. IEEE Transactions on Wireless Communications,14(10), 5417–5429.

    Article  Google Scholar 

  22. Mallick, S., Rashid, M. M., & Bhargava, V. K. (2012). Joint relay selection and power allocation for decode-and-forward cellular relay network with channel uncertainty. IEEE Transactions on Wireless Communications,11(10), 3496–3508.

    Article  Google Scholar 

  23. Hasan, M., Hossain, E., & Kim, D. I. (2014). Resource allocation under channel uncertainties for relay-aided device-to-device communication underlaying LTE-A cellular networks. IEEE Transactions on Wireless Communications,13(4), 2322–2338.

    Article  Google Scholar 

  24. Ng, C. Y., Lok, T. M., & Wong, T. F. (2010). Pricing games for distributed cooperative transmission. IEEE Transactions on Vehicular Technology,59(7), 3393–3406.

    Article  Google Scholar 

  25. Laneman, J. N., Tse, D. N., & Wornell, G. W. (2004). Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory,50(12), 3062–3080.

    Article  MathSciNet  Google Scholar 

  26. Ben-Tal, A., & Nemirovski, A. (1998). Robust convex optimization. Mathematics of Operations Research,23(4), 769–805.

    Article  MathSciNet  Google Scholar 

  27. Aghassi, M., & Bertsimas, D. (2006). Robust game theory. Mathematical Programming,107(1–2), 231–273.

    Article  MathSciNet  Google Scholar 

  28. Wang, B., Han, Z., & Liu, K. R. (2009). Distributed relay selection and power control for multiuser cooperative communication networks using stackelberg game. IEEE Transactions on Mobile Computing,8(7), 975–990.

    Article  Google Scholar 

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Correspondence to Ravi Kumar.

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Lamba, A.K., Kumar, R. & Sharma, S. A Robust Stackelberg Game Approach for Joint Relay Selection and Optimal Power Allocation for Cooperative Device-to-Device Communication Under Channel Uncertainties. Wireless Pers Commun 110, 169–183 (2020). https://doi.org/10.1007/s11277-019-06718-y

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  • DOI: https://doi.org/10.1007/s11277-019-06718-y

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