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Game-theoretic Interference Coordination Approaches for Dynamic Spectrum AccessGame-Theoretic MAC-Layer Interference Coordination with Orthogonal Channels

Game-theoretic Interference Coordination Approaches for Dynamic Spectrum Access: Game-Theoretic... [In this chapter, we consider the problem of opportunistic spectrum access in a kind of networks, where the users are spatially located and direct interaction/interference only emerges between neighboring users Y. Xu, J. Wang, Q. Wu et al. IEEE J. Sel. Signal Process (6(2):180–194, 2012), Y. Xu, Q. Wu, J. Wang, et al. IEICE Trans. Commun. (E95-B(3):991–994, 2012), H. Li, Z. Han, Competitive spectrum access in cognitive radio networks: Graphical game and learning, (2010), M. Azarafrooz, R. Chandramouli, Distributed learning in secondary spectrum sharing graphical game, (2011), M. Liu, et al. Congestion games with resource reuse and applications in spectrum sharing, (2009), C. Peng, H. Zheng, B. Zhao, Mob. Netw. App. (11(4):555–576, 2006), [1–6]. We investigate this problem from a perspective of interference minimization. Note that the commonly used interference model in the literature is the PHY-layer interference models, in which the focus is to minimize the amount of experienced interference C. Lacatus, D. Popescu, IEEE J. Sel. Topics Signal Process (1(1):189–202, 2007), [7]. In methodology, the PHY-layer interference model is more suitable for wireless communication systems with interference channel models, e.g., the code-division multiple access (CDMA) and orthogonal frequency-division multiple access (OFDMA) systems.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Game-theoretic Interference Coordination Approaches for Dynamic Spectrum AccessGame-Theoretic MAC-Layer Interference Coordination with Orthogonal Channels

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Publisher
Springer Singapore
Copyright
© The Author(s) 2016
ISBN
978-981-10-0022-5
Pages
29 –51
DOI
10.1007/978-981-10-0024-9_3
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we consider the problem of opportunistic spectrum access in a kind of networks, where the users are spatially located and direct interaction/interference only emerges between neighboring users Y. Xu, J. Wang, Q. Wu et al. IEEE J. Sel. Signal Process (6(2):180–194, 2012), Y. Xu, Q. Wu, J. Wang, et al. IEICE Trans. Commun. (E95-B(3):991–994, 2012), H. Li, Z. Han, Competitive spectrum access in cognitive radio networks: Graphical game and learning, (2010), M. Azarafrooz, R. Chandramouli, Distributed learning in secondary spectrum sharing graphical game, (2011), M. Liu, et al. Congestion games with resource reuse and applications in spectrum sharing, (2009), C. Peng, H. Zheng, B. Zhao, Mob. Netw. App. (11(4):555–576, 2006), [1–6]. We investigate this problem from a perspective of interference minimization. Note that the commonly used interference model in the literature is the PHY-layer interference models, in which the focus is to minimize the amount of experienced interference C. Lacatus, D. Popescu, IEEE J. Sel. Topics Signal Process (1(1):189–202, 2007), [7]. In methodology, the PHY-layer interference model is more suitable for wireless communication systems with interference channel models, e.g., the code-division multiple access (CDMA) and orthogonal frequency-division multiple access (OFDMA) systems.]

Published: Nov 10, 2015

Keywords: Nash Equilibrium; Receive Signal Strength; Network Throughput; Interference Model; Carrier Sense Multiple Access

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