Outage Performance and Cooperative Diversity Under Amplify and Forward Relaying in Cognitive Radio Networks
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Abstract
This paper investigates the outage and diversity performance in a cognitive radio (CR) network, in which data are transmitted through amplify-and-forward protocol. A fixed CR node is selected as relay to combat fading effect. The CR user transmits or relays data when the result of cooperative spectrum sensing indicates that primary user (PU) channel is free and the relay node stops performing the protocol as soon as the PU is detected to be active. A closed-form expression of outage probability for the CR network is calculated based on which diversity order is derived. The results show that the proposed scheme suffers a loss in diversity order. To compensate for this loss, a repetition-based scheme is proposed in a delay-insensitive system at the cost of the challenge in implementation. In this case, we evaluate the outage performance and the average transmit duration and then compare them with the ones in the delay-sensitive system. Asymptotic analysis is also presented to show the outage performance advantage of using a relay over the one without using it. The numerical results presented in the paper verify our analysis.
Keywords
Outage probability Cooperative diversity Cognitive radio networks Amplify-and-forward protocol Cooperative spectrum sensing Energy detectionPreview
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References
- 1.Akyildiz I., Lee W., Vuran M., Mohanty S. (2006) Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks 50: 2127–2159MATHCrossRefGoogle Scholar
- 2.Ghasemi A., Sousa E. S. (2008) Spectrum sensing in cognitive radio networks: Requirements, challenges and design trade-offs. IEEE Communications Magazine 46(4): 32–39CrossRefGoogle Scholar
- 3.Laneman J., Tse D., Wornell G. (2004) Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory 50(12): 3062–3080MathSciNetCrossRefGoogle Scholar
- 4.Laneman J., Wornell G. (2003) Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks. IEEE Transactions on Information Theory 49(10): 2415–2425MathSciNetCrossRefGoogle Scholar
- 5.Ghasemi, A., & Sousa, E. (2005). Collaborative spectrum sensing for opportunistic access in fading environments. In Proceedings of IEEE DySPAN (pp. 131–136), Baltimore, MD.Google Scholar
- 6.Sun, C., Zhang, W., & Letaief, K. (2007). Cluster-based cooperative spectrum sensing in cognitive radio systems. IEEE international conference on communications ICC (2007) (pp. 2511–2515).Google Scholar
- 7.Letaief K., Zhang W. (2009) Cooperative communications for cognitive radio networks. Proceedings of the IEEE 97(5): 878–893CrossRefGoogle Scholar
- 8.Lee, K., & Yener, A. (2006). Spectrum-sensing opportunistic wireless relay networks: Outage and diversity performance. Fortieth asilomar conference on signals, systems and computers, 2006. ACSSC ’06. (pp. 206–210).Google Scholar
- 9.Suraweera, H., Smith, P., & Surobhi, N. (2008). Exact outage probability of cooperative diversity with opportunistic spectrum access. Communications workshops, 2008. ICC workshops’08. IEEE international conference on (pp. 79–84).Google Scholar
- 10.Krikidis I., Sun Z., Laneman J., Thompson J. (2009) Cognitive legacy networks via cooperative diversity. IEEE on Communications Letters 13(2): 106–108CrossRefGoogle Scholar
- 11.Ganesan G., Li Y. (2007) Cooperative spectrum sensing in cognitive radio: Part I: Two user networks. IEEE Transactions on Wireless Communications 6(6): 2204–2213CrossRefGoogle Scholar
- 12.Ganesan G., Li Y. (2007) Cooperative spectrum sensing in cognitive radio: Part II: Multiuser networks. IEEE Transactions on Wireless Communications 6(6): 2214–2222CrossRefGoogle Scholar
- 13.Atapattu, S., Tellambura, C., & Jiang, H. (2009). Relay based cooperative spectrum sensing in cognitive radio networks. In Proceedings of IEEE GLOBECOM’09 (pp. 1–5).Google Scholar
- 14.Renzo M. D., Imbriglio L., Graziosi F., Santucci F. (2009) Distributed data fusion over correlated log-normal sensing and reporting channels: Application to cognitive radio networks. IEEE Transactions on Wireless Communications 8(12): 5813–5821CrossRefGoogle Scholar
- 15.Simon M., Alouini M. (2005) Digital communication over fading channels (2nd ed.). Wiley, New YorkGoogle Scholar
- 16.Ma, J., & Li, Y. (2008). A probability-based spectrum sensing scheme for cognitive radio. ICC 2008 (pp. 3416–3420).Google Scholar
- 17.Anghel P., Kaveh M. (2004) Exact symbol error probability of a cooperative network in a Rayleigh-Fading enviroment. IEEE Transactions on Wireless Communications 3(5): 1416–1421CrossRefGoogle Scholar
- 18.Yang Q., Xu S., Kwak K. (2008) Outage probability of cognitive radio with multiple receive antennas. IEICE Transactions on Communications E91-B(1): 85–94CrossRefGoogle Scholar
- 19.Gradshteyn I., Ryzhik I. (2007) Table of integrals, series and products, 7th edn. Academic Press, San Diego, CAMATHGoogle Scholar
- 20.Zheng L., Tse D. (2003) Diversity and multiplexing: A fundamental tradeoff in multiple-antenna channels. IEEE Transactions on Information Theory 49(5): 1073–1096MATHCrossRefGoogle Scholar
- 21.Wang Z., Giannakis G. (2003) A simple and general parameterization quantifying performance in fading channels. IEEE Transactions on Communications 51(8): 1389–1398CrossRefGoogle Scholar