“Threshold-Deciding” Policy in Distributed Multiuser Opportunistic Spectrum Access

Abstract:

This paper studies the problem of distributed multiuser Opportunistic Spectrum Access based on Partially Observable Markov Decision Process (POMDP). Due to the similarity of spectrum environment, secondary users may choose the same channel adopting their own single user approach, which leads to collision. Referring to the previous works, we propose a more flexible and adaptive policy named “threshold-deciding”. Firstly, the SU gets a channel by adopting the random policy. Secondly, the SU decides whether to sense the channel by comparing the available probability with the given threshold. The policy not only decreases the collisions among SUs but also reduces the consumption of time and energy. The simulation results shows that the upgrade of performance is up to 100% compared with the existing random policy, which demonstrate the advantage of the proposed policy.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 2867-2870
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.2867
• Online since: May 2014
• Authors: Yu Meng Wang*, Liang Shen, Xiang Gao, Cheng Long Xu, Xiao Ya Li, Yong Lin
• Keywords: Distributed POMDP, Multiuser, Opportunistic Spectrum Access

References

[1] J. Mitola, G. Magurie. Cognitive radio: making software radios more personal, IEEE Personal Commun., Aug. 1999, vol. 6, no. 4, p.13–18.

DOI: 10.1109/98.788210

[2] S. Haykin, Cognitive radio: brain-empowered wireless communications, IEEE Journal on Selected Areas in Commun., 2005, vol. 23, no. 2, pp.201-220.

DOI: 10.1109/jsac.2004.839380

[3] Q. Zhao, A. Sadler. A survey of dynamic spectrum access, IEEE Signal Process. Mag., 2007, vol. 2, no. 3, pp.79-89.

DOI: 10.1109/msp.2007.361604

[4] Y. H. Xu, A. Anpalagan, Q. H. Wu, Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies. Challenges and Solutions,. IEEE commun. survey & tutorial. To appear.

DOI: 10.1109/surv.2013.030713.00189

[5] Q. Zhao, L. Tong, and A. Swami, Decentralized cognitive MAC for opportunistic spectrum access in Ad Hoc Networks: A POMDP framework, IEEE Selected Areas in Commun., Apr. 2007, vol. 25, no. 3, pp.589-600.

DOI: 10.1109/jsac.2007.070409

[6] Q. Zhao, B. Krishnamachari, and K. Q. Liu, On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance, IEEE Trans. on Wireless Commun., Dec. 2008, vol. 7, pp.5431-5440.

DOI: 10.1109/t-wc.2008.071349

[7] Y. X. Chen, Q. Zhao, A. Swami, Joint design and separation principle for opportunistic spectrum access in the presence of sensing errors, IEEE Trans. on Information Theory, May 2008, vol. 54, p.2053-(2071).

DOI: 10.1109/tit.2008.920248

[8] H. Liu, B. Krishnamachari and Q. Zhao Cooperation and learning in multiuser opportunistic spectrum access, IEEE International Conference on Communications, 2008.

DOI: 10.1109/iccw.2008.98

[9] Z. L. Liang, W. Liu, P. Zhou, and F. Gao, Randomized multi-user strategy for spectrum sharing in opportunistic spectrum access network, Proc. IEEE International Conference on Communications, 2008.

DOI: 10.1109/iccw.2008.96

[10] K. Q. Liu, Q. Zhao, and Y. Chen Distributed Sensing and Access in cognitive Radio Networks, 10th International Symposium of Spread Spectrum Techniques and Applications, Aug., (2008).

DOI: 10.1109/isssta.2008.11