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Wireless Networks
Erschienen in: Wireless Networks 2/2013

01.02.2013

Novel adaptive collaboration sensing for efficient acquisition of spectrum opportunities in cognitive radio networks

Erschienen in: Wireless Networks | Ausgabe 2/2013

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Abstract

In this paper, we aim to acquire more spectrum opportunities in a limited sensing time. We construct a novel MAC-layer sensing framework for efficient acquisition of spectrum opportunities. Specifically, we employ the sequential probability ratio test and develop a new collaboration sensing scheme for multiuser to collaborate during multi-slot, in which we effectively utilize the resources of secondary users to sense the channels for efficient acquisition of spectrum opportunities. Subsequently, we formulate the proposed scheme as an optimization problem and derive an optimal solution with low complexity, which is based on dynamic programming theory. Simulation results show that the proposed scheme could offer good performance with efficient acquisition of spectrum opportunities in cognitive radio networks.
Vorheriger Artikel The impact of network topology on delay bound in wireless Ad Hoc networks
Nächster Artikel An efficient scheduling scheme for hybrid TDMA and SDMA systems with smart antennas in WLANs

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Literatur
1.
Akyildiz, I. F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50(13), 2127–2159.MATHCrossRef
2.
Mitola, J. (1999). Cognitive radio for flexible mobile multimedia communications. In Proceedings of IEEE mobile multimedia conference (pp. 3–10).
3.
Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.CrossRef
4.
Poor, H. V. (1994). An introduction to signal detection and estimation. New York: Springer.MATH
5.
Kay S. M. (1998). Fundamentals of statistical signal processing: Detection theory. Englewood Cliffs, NJ: Prentice-Hall.
6.
Enserink, S., & Cochran, D. (1994). A cyclostationary feature detector. In Proceedings of 28th Asilomar conference on signals, systems, and computers (pp. 806–810).
7.
Xin, Y., Zhang, H., & Rangarajan, S. (2009). SSCT: A simple sequential spectrum sensing scheme for cognitive radio. In Proceedings of IEEE global telecommunications conference (pp. 1–6).
8.
Shei, Y., & Su, Y. T. (2008). A sequential test based cooperative spectrum sensing scheme for cognitive radios. In Proceedings of 19th IEEE international symposium on personal, indoor and mobile radio communications (pp. 1–5).
9.
Zhao, Q., Tong, L., Swami, A., & Chen, Y. (2007). Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework. IEEE Journal on Selected Areas in Communications, 25(3), 589–600.CrossRef
10.
Chen, Y., Zhao, Q., & Swami, A. (2008). Joint design and separation principle for opportunistic spectrum access in the presence of sensing errors. IEEE Transactions on Information Theory, 54(5), 2053–2071.MathSciNetCrossRef
11.
Hoang, A. T., Liang, Y. C., & Zeng, Y. (2010). Adaptive joint scheduling of spectrum sensing and data transmission in cognitive radio networks. IEEE Transactions on Communications, 58(1), 235–246.CrossRef
12.
Kim, H., & Shin, K. G. (2008). Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks. IEEE Transactions on Mobile Computing, 7(5), 533–545.MathSciNetCrossRef
13.
Kim, H., & Shin, K. G. (2008). Fast discovery of spectrum opportunities in cognitive radio networks. In Proceedings of 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (pp. 1–12).
14.
Kim, S. J., & Giannakis, G. B. (2010). Sequential and cooperative sensing for multi-channel cognitive radios. IEEE Transactions on Signal Processing, 58(8), 4239–4253.MathSciNetCrossRef
15.
Oksanen, J., Lunden, J., & Koivunen, V. (2012). Reinforcement learning based sensing policy optimization for energy efficient cognitive radio networks. Neurocomputing, 80, 102–110.CrossRef
16.
Fodor, V., Glaropoulos, I., & Pescosolido, L. (2009). Detecting low-power primary signals via distributed sensing to support opportunistic spectrum access. In Proceedings of IEEE international conference on communications (pp. 1–6).
17.
Digham, F. F., Alouini, M. S., & Simon, M. K. (2007). On the energy detection of unknown signals over fading channels. IEEE Transactions on Wireless Communications, 55(1), 21–24.
18.
Quan, Z., Cui, S., Poor, H., & Sayed, A. (2008). Collaborative wideband sensing for cognitive radios. IEEE Signal Processing Magazine, 25(6), 60–73.CrossRef
19.
Liang, Y. C., Zeng, Y., Peh, E. C. Y., & Hoang, A. T. (2008). Sensing-throughput tradeoff for cognitive radio networks. IEEE Transactions on Wireless Communications, 7(4), 1326–1337.CrossRef
20.
21.
Bellman, R. (1962). Applied dynamic programming. Princeton, NJ: Princeton University Press.MATH
22.
Larson, R. E. & Casti, J. L. (1978). Principles of dynamic programming. Part I: Basic analytic and computational methods. New York: Marcel Dekker.MATH
23.
Hata, M. (1980). Empirical formula for propagation loss in land mobile radio services. IEEE Transactions on Vehicular Technology, 29(3), 317–325.MathSciNetCrossRef
24.
25.
Peh, E., & Liang, Y. C. (2007). Optimization for cooperative sensing in cognitive radio networks. In Proceedings of IEEE wireless communication and networking conference (pp. 27–32).
Metadaten
Titel
Novel adaptive collaboration sensing for efficient acquisition of spectrum opportunities in cognitive radio networks
Publikationsdatum
01.02.2013
Erschienen in
Wireless Networks / Ausgabe 2/2013
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-012-0463-y

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