Abstract
Currently, most existing studies on the problem of interference mitigation, e.g., J. Huang, R. Berry, M. Honig, IEEE J. Sel. Areas Commun. 24(5), 1074–1084 (2006), R. Menon, A.B. MacKenzie, J. Hicks et al. IEEE Trans. Commun. 57(4), 1087–1098 (2009), R. Menon, A.B. MacKenzie, R.M. Buehrer et al. IEEE Trans. Commun. 57(10), 3078–3091 (2009), N. Nie, C. Comaniciu, Mob. Netw. Appl. 11(6), 779–797 (2006), Q.D. La, Y.H. Chew, B.H. Soong, IEEE Trans. Vehic. Technol. 60(7), 3374–3385 (2011), C. Lăcătuş, C. Popescu, IEEE J. Sel. Topics Signal Process 1(1), 189–202 (2007), Q. Yu, J. Chen, Y. Fan, X. Shen, Y. Sun, Multi-channel assignment in wireless sensor networks: A game-theoretic approach, Q. Wu, Y. Xu, L. Shen, J. Wang, IEEE Commun. Lett. 16(7), 1041–1043 (2012), B. Babadi, V. Tarokh, IEEE Trans. Inf. Theory 56(12), 6228–6252 (2010), J. Wang, Y. Xu, Q. Wu, Z. Gao, Trans. Emerg. Telecommun. Technol. 23(4), 317–326 (2012), [1–10], have assumed that the interference channel gains are static. Based on such an ideal assumption, there are several nongame theoretic J. Huang, R. Berry, M. Honig, IEEE J. Sel. Areas Commun. 24(5), 1074–1084 (2006), B. Babadi, V. Tarokh, IEEE Trans. Inf. Theory 56(12), 6228–6252 (2010), [1, 9] and game-theoretic R. Menon, A.B. MacKenzie, J. Hicks et al. IEEE Trans. Commun. 57(4), 1087–1098 (2009), R. Menon, A.B. MacKenzie, R.M. Buehrer et al. IEEE Trans. Commun. 57(10), 3078–3091 (2009), N. Nie, C. Comaniciu, Mob. Netw. Appl. 11(6), 779–797 (2006), Q.D. La, Y.H. Chew, B.H. Soong, IEEE Trans. Vehic. Technol. 60(7), 3374–3385 (2011), C. Lăcătuş, C. Popescu, IEEE J. Sel. Topics Signal Process 1(1), 189–202 (2007), Q. Yu, J. Chen, Y. Fan, X. Shen, Y. Sun, Multi-channel assignment in wireless sensor networks: A game-theoretic approach, Q. Wu, Y. Xu, L. Shen, J. Wang, IEEE Commun. Lett. 16(7), 1041–1043 (2012), J. Wang, Y. Xu, Q. Wu, Z. Gao, Trans. Emerg. Telecommun. Technol. 23(4), 317–326 (2012), [2–8, 10] interference mitigation approaches. However, the assumption of static channels is not true since they are always time-varying in practice, which is the inherent feature of wireless communications.
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Xu, Y., Anpalagan, A. (2016). Distributed Interference Mitigation in Time-Varying Radio Environment. In: Game-theoretic Interference Coordination Approaches for Dynamic Spectrum Access. SpringerBriefs in Electrical and Computer Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-0024-9_2
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