JCP 2013 Vol.8(10): 2607-2614 ISSN: 1796-203X
doi: 10.4304/jcp.8.10. 2607-2614
doi: 10.4304/jcp.8.10. 2607-2614
On the Performance of Multi-node Cooperative Networks over Composite Nakagami-lognormal Fading Channels using Mixture Gamma Distribution
Weijun Cheng
School of Information Engineering, Minzu University of China; No. 27 South Zhongguancun Street, Beijing, P.R. China
Abstract—In this paper, we present the end-to-end performance of a multi-node cooperative network over independent non-identical composite Nakagami-lognormal (NL) fading channels using Mixture Gamma (MG) distribution. Novel closed-form expressions for the Probability density function (PDF) and the Momentgeneration function (MGF) of the end-to-end Signal-to-noise ratio (SNR) are derived. Moreover, the average Symbol error rate (SER) and outage probability of the multi-node cooperative network are found based on the above new expressions, respectively. Numerical and simulation results are shown to verify the accuracy of the analytical results. Compared with the generalized-K (KG) distribution, MG distribution is more available to approximate the NL distribution from two aspects of the expression complexity and the analytical accuracy in the performance analysis of cooperative networks.
Index Terms—Dual-hop relaying, Nakagami-lognormal fading channels, Mixture Gamma distribution, Performance analysis
Abstract—In this paper, we present the end-to-end performance of a multi-node cooperative network over independent non-identical composite Nakagami-lognormal (NL) fading channels using Mixture Gamma (MG) distribution. Novel closed-form expressions for the Probability density function (PDF) and the Momentgeneration function (MGF) of the end-to-end Signal-to-noise ratio (SNR) are derived. Moreover, the average Symbol error rate (SER) and outage probability of the multi-node cooperative network are found based on the above new expressions, respectively. Numerical and simulation results are shown to verify the accuracy of the analytical results. Compared with the generalized-K (KG) distribution, MG distribution is more available to approximate the NL distribution from two aspects of the expression complexity and the analytical accuracy in the performance analysis of cooperative networks.
Index Terms—Dual-hop relaying, Nakagami-lognormal fading channels, Mixture Gamma distribution, Performance analysis
Cite: Weijun Cheng, " On the Performance of Multi-node Cooperative Networks over Composite Nakagami-lognormal Fading Channels using Mixture Gamma Distribution," Journal of Computers vol. 8, no. 10, pp. 2607-2614, 2013.
General Information
ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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