Sep analysis of estimated channel in decode-and-forward cooperative networks
Corressponding author's email:
thuandd@hcmute.edu.vnKeywords:
Decode and Forward (DF), symbol error probability (SEP), dual-hop networksAbstract
When the sizes of end-user equipments are limited, the cooperative relay networks are recommended as promising virtual MIMO systems to improve the performance of wireless communication systems in literature. In this paper, we focus on performance analysis of two- hop relay wireless networks using Decode-and-Forward (DF) scheme. Specifically, we derive the closed-form expression of symbol error probability (SEP). Thanks to utilizing least square- based channel estimation algorithm in calculation of instantaneous channel state information (CSI), we obtain approximate SEP based on the estimated channel states and the decoding state at the relay nodes. The SEP approximation formula is used to assess the power allocation in dual-hop networks. Simulation results for a two-hop system with optimal SEP show significant improvement.
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References
J. N. Laneman, D. N. C. Tse, and G. W. Wornell, “Cooperative diversity in wireless networks: Efficient protocols and outage behavior,” IEEE Trans. Inf. Theory, vol. 50, pp. 3062–3080, 2004.
A. Sendonaris, E. Erkrip, and B. Aazhang, “User cooperation diversity - Part I: System description,” IEEE Trans. Commun., vol. 51, pp. 1927–1938, 2003.
A. Sendonaris, E. Erkrip, and B.Aazhang, “User cooperation diversity - Part II: Implementation aspects and performance analysis,” IEEE Trans. Commun., vol. 51, pp. 1939–1948, 2003.
B. Barua, M. Abolhasan, and F. Safaei, “On the Symbol Error Probability of Multi-hop Parallel Relay Networks,” IEEE Commun. Letter, vol. 15, pp. 719-721, July 2011.
V. Asghari, A. Maaref, and S. Aissa, “Symbol Error Probability Analysis for Multi- hop Relaying over Nakagami Fading Channels “ in Proc. of Wireless Communications and Networking Conference (WCNC) Sydney, Australia 2010, pp. 1 - 6
S. Ikki and M. H. Ahmed, “Performance of decode-and-forward coop-erative diversity networks over Nakagami-m fading channels,” in Proc. of IEEE GLOBECOM’07, Washington, DC, Nov. 2007, pp. 4328–4333.
A. Khabbazibasmenj and S. A. Vorobyov, “Power Allocation in Decode-and-Forward Cooperative Networks via SEP Minimization,” in Proc. of IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Puerto Vallarta, Mexico 2009, pp. 328-331.
W. Su, A. K. Sadek, and K. J. R. Liu, “SER performance analysis and optimum power allocation for decode-and-forward cooperation protocol in wireless networks,” in Proc. of IEEE Wireless Communications and Networking Conference, New Orleans, LA, U.S.A., 2005, pp. 984-989.
C. S. Patel and G. L. Stuber, “Channel estimation for amplify and forward relay based cooperation diversity systems,” IEEE Trans. Wireless Com-mun., vol. 6, pp. 2348–2356, 2007.
F. Gao, T. Cui, and A. Nallanathan, “On channel estimation and optimal training design for amplify and forward relay networks,” IEEE Trans.Wireless Commun., vol. 7, pp. 1907–1916, 2008.
Y. Wu and M. Pätzold, “Performance analysis of cooperative communication systems with imperfect channel estimation,” in Proc. IEEE ICC, Dresden, Germany, Jun. 2009, pp. 1-6.
S. S. Ikki, S. Al-Dharrab, and M. Uysal, “Error Probability of DF Relaying with Pilot- Assisted Channel Estimation over Time-Varying Fading Channels,” IEEE Trans on Vehicular Technology, vol. 61, pp. 393-397, 2012.
J. K. Cavers, “An analysis of pilot-symbol-assisted modulation for Rayleigh fading channels,” IEEE Trans. Veh. Technol., vol. 40, pp. 686–693, 1991.
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