Abstract
Cooperative relay communication has become a promising technology to extend the network coverage and enhance the system performance. To avoid the interference among the relays assisted the same source and maximize the relay utility in multisource multirelay networks, we propose the two-layered game based distributed algorithm, which jointly considers power control and the relay’s source selection. Power control and relay’s source selection are formulated as a general non-cooperative game and an evolutionary game, respectively. By using the alternate iterations between the non-cooperative game and the evolutionary game, the proposed distributed algorithm can effectively suppress the interference and choose the optimal source. Simulation results are presented to analyze the performance of the proposed distributed algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang, C.L., Chen, J.Y.: Power allocation and relay selection for AF cooperative relay systems with imperfect channel estimation. IEEE Trans. Veh. Technol. 65(9), 7809–7813 (2016)
Yang, Q.Q., He, S.B., Li, J.K., Chen, J.M., Sun, Y.X.: Energy-efficient probabilistic area coverage in wireless sensor networks. IEEE Trans. Veh. Technol. 64(1), 367–377 (2015)
Liu, L.Y., Hua, C.Q., Chen, C.L., Guan, X.P.: Semidistributed relay selection and power allocation for outage minimization in cooperative relaying networks. IEEE Trans. Veh. Technol. 66(1), 295–305 (2017)
Ibrahim, A.S., Sadek, A.K., Su, W., Liu, K.R.: Cooperative communications with relay-selection: when to cooperate and whom to cooperate with? IEEE Trans. Wirel. Commun. 7(7), 2814–2826 (2008)
Sergi, S., Vitetta, G.M.: A game theoretical approach to distributed relay selection in randomized cooperation. IEEE Trans. Wirel. Commun. 9(8), 2611–2621 (2010)
Saraydar, C.U., Mandayam, N.B., Goodman, D.J.: Efficient power control via pricing in wireless data networks. IEEE Trans. Commun. 50(2), 291–303 (2002)
Ren, S., Van der Schaar, M.: Pricing and distributed power control in wireless relay networks. IEEE Trans. Sig. Process. 59(6), 2913–2926 (2011)
Wang, B.B., Han, Z., Liu, K.R.: Distributed relay selection and power control for multiuser cooperative communication networks using stackelberg game. IEEE Trans. Mob. Comput. 8(7), 975–990 (2009)
Weibull, J.W.: Evolutionary Game Theory. MIT Press, Cambridge (1997)
Wu, D., Zhou, L., Cai, Y., Hu, R.Q., Qian, Y.: Energy-aware dynamic cooperative strategy selection for relay-assisted cellular networks: an evolutionary game approach. IEEE Trans. Veh. Technol. 63(9), 4659–4669 (2014)
Zhong, W., Chen, G., Jin, S., Wong, K.K.: Relay selection and discrete power control for cognitive relay networks via potential game. IEEE Trans. Sig. Process. 62(20), 5411–5424 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhou, Y., Zhang, H., Chen, R., Zhou, T. (2018). A Two-Layered Game Approach Based Relay’s Source Selection and Power Control for Wireless Cooperative Networks. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-73447-7_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73446-0
Online ISBN: 978-3-319-73447-7
eBook Packages: Computer ScienceComputer Science (R0)