Conference Paper

Symbol error rate analysis of relay-based wireless systems.

DOI: 10.1109/PIMRC.2011.6139839 Conference: IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2011, Toronto, ON, Canada, September 11-14, 2011
Source: DBLP


In this paper, the symbol error rate (SER) performance of a relay-based amplify-and-forward (AF) system is analyzed over fading channels . The relay power-gain is optimized with the objective of maximizing the received signal-to-noise-ratio (SNR) at the destination, given that the fading statistics of the links are known at the relay node. The Gaussian finite mixture is utilized to mathematically formulate, in a simple and unified way, the statistics of the received SNR at optimal relay power-gain. These statistics include the probability density function (pdf) and the moment generating function (MGF). Using this technique, the SER for coherent and differentially coherent modulations are derived. Monte Carlo simulation results are presented to validate the derived expressions.


Available from: Ibrahim Abualhaol, Feb 18, 2015
  • Source
    • "The branches are assumed to be statistically independent, non-identical and can be represented as weighted sum of Gaussian PDFs. Similar to [12], the approximated SNR-PDF for links RD1 and RD2 can be written as "
    [Show abstract] [Hide abstract]
    ABSTRACT: Cooperative communication techniques are used in vehicular ad hoc networks (VANETs) to enhance system performance through distributed spatial diversity. In this paper, the average error rate performance of a VANET Cooperative Selection-Combining Receiver (CO-SCR) is analyzed over generalized statistically measured fading channels. Source-Destination and Source-Relay-Destination links are assumed to be independent but not necessary identically distributed. The Gaussian finite mixture is utilized to mathematically formulate an approximation for the probability density function (PDF) of the received signal-to-noise ratio (SNR) at the output of CO-SCR at the destination vehicle. Then, the PDF of the SNR (SNR-PDF) expression is utilized to derive a closed-form expression for the approximated average error rate using different coherent modulation techniques. Monte-carlo simulation results are presented to validate the analysis.
    Wireless Communications and Networking Conference (WCNC), 2014 IEEE; 04/2013
  • Source
    • "A more important goal for developing such approximation is the required level of accuracy in some applications. The finite mixture approximation is a summation of Gaussian PDFs with different weights, means and variances (see [6] "
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, a novel approximation for the Gaussian Q-function in the form of Q(√x) is presented. The proposed approximation is compared with other known closed-form approximations of the Q-function in terms of accuracy and applicability. This approximation can be effciently used to simplify intractable problems which do not have explicit solutions. The approximation of the generalized probability density function (PDF) using Gaussian fnite mixture components is utilized with the proposed approximation to derive a generalized closed-form expression for the Bit Error Rate (BER) for coherent modulation techniques. The derived expression is evaluated over Nakagami-m and Weibull fading channels. Monte Carlo simulation of the average BER expression is provided over Nakagami-m and Weibull fading channels in order to validate the derived expression. The derived average SER expression can be used by engineers to evaluate the BER performance for any coherent modulation technique and over any fading channel given that the fading channel statistics are modeled using Gaussian fnite mixture.
    GCC Conference and Exhibition (GCC), 2013 7th IEEE; 01/2013