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2019 | OriginalPaper | Chapter

Demand-Aware Opportunistic Spectrum Access: A Game-Theoretic Learning Approach

Authors : Yuli Zhang, Xucheng Zhu

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

We study the problem of opportunistic spectrum access with users’ demands in distributed systems. The users’ demands play an important role in estimating the final access results. For example, the same throughput may lead to completely different experience for the users with different demands. To emphasize the influence of the demand, we use the ratio of demand and throughput to consider them together. We focus on the sum ratios of each user to make the resource allocation efficient from the system view. We model the channel selection problem with demand-throughput ratio as a cooperative game, propose an ordered best response algorithm to achieve NE point and prove the existence of NE point. The stochastic learning algorithms has been used in simulations. The results show that the ordered best response algorithm and stochastic learning approach both converged and achieved good performance in fairness and utility which are better than random access situation. what’s more, the ordered best response algorithm has a significant improvement in convergence time.

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Literature
1.
Xu, Y., Anpalagan, A., Wu, Q., et al.: Decision-theoretic distributed channel selection for opportunistic spectrum access: strategies, challenges and solutions. IEEE Commun. Surv. Tutorials 15(4), 1689–1713 (2013). Fourth Quarter
2.
Zhao, Q., Sadler, B.M.: A survey of dynamic spectrum access. IEEE Signal Process. Mag. 24(3), 79–89 (2007)
3.
Mitola, J., Maguire, G.Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)
4.
Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)
5.
Xu, Y., Wang, J., Wu, Q., et al.: Opportunistic spectrum access in unknown dynamic environment: a game-theoretic stichastic learning solution. IEEE Trans. Wireless Commun. 11(4), 1380–1391 (2012)
6.
Zhang, Y., Xu, Y., Wu, Q., Anpalagan, A.: Optimal opportunistic spectrum access with unknown and heterogeneous channel dynamics in cognitive radio networks. KSII Trans. Internet Inf. Syst. 8(6), 2675–2690 (2014)
7.
Zhang, Y., Zhao, Q.: Distributed channel selection with dynamic users: a game-theoretic learning approach. In: Proceedings WCSP 2015. IEEE, October 2015
8.
Xu, Y., Wu, Q., Wang, J., et al.: Opportunistic spectrum access using partially overlapping channels: graphic game and uncoupled learning. IEEE Trans. Commun. 61(9), 3906–3918 (2013)
9.
Li, H., Han, Z.: Competitive spectrum access in cognitive radio networks: graphical game and learning. In: Proceedings 2010 IEEE WCNC, pp. 1–6 (2010)
10.
Liu, M., Ahmad, S., Wu, Y.: Congestion games with resource reuse and applications in spectrum sharing. In: GameNets, pp. 171–179 (2009)
11.
Xu, Y., Wang, J., Wu, Q., et al.: Opportunistic spectrum access in cognitive radio networks: global optimization using local interaction game. IEEE J. Sel. Top. Sign. Process. 6(2), 180–194 (2012)
12.
Xie, X., Zhou, T., Dong, X., He, L.: Traffic-demand dynamic spectrum access. In: Proceedings IEEE WiCOM, pp. 1–4 (2008)
13.
Chu, T., Phan, H., Zepernick, H.: Dynamic spectrum access for cognitive radio networks with prioritized traffics. IEEE Commun. Lett. 18(7), 1218–1221 (2014)
14.
Wu, Q., Wu, D., Xu, Y., Wang, J.: Demand-aware multichannel opportunistic spectrum access: a local interaction game approach with reduced information exchange. IEEE Trans. Veh. Technol. 64(10), 4899–4904 (2015)
15.
16.
Jain, R., Chiu, D., Haws, W.: A quantitative measure of fairness and discrimination for resource allocation in shared computer system, Technical report (1984)
Metadata
Title
Demand-Aware Opportunistic Spectrum Access: A Game-Theoretic Learning Approach
Authors
Yuli Zhang
Xucheng Zhu
Copyright Year
2019
Publisher
Springer Singapore
Book
Communications, Signal Processing, and Systems

Print ISBN: 978-981-10-6570-5

Electronic ISBN: 978-981-10-6571-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-10-6571-2_1