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Game-theoretic Interference Coordination Approaches for Dynamic Spectrum AccessDistributed Interference Mitigation in Time-Varying Radio Environment

Game-theoretic Interference Coordination Approaches for Dynamic Spectrum Access: Distributed... [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Game-theoretic Interference Coordination Approaches for Dynamic Spectrum AccessDistributed Interference Mitigation in Time-Varying Radio Environment

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Publisher
Springer Singapore
Copyright
© The Author(s) 2016
ISBN
978-981-10-0022-5
Pages
11 –27
DOI
10.1007/978-981-10-0024-9_2
Publisher site
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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.]

Published: Nov 10, 2015

Keywords: Nash Equilibrium; Channel Gain; Fading Model; Channel Selection; Potential Game

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