Title :
On the distribution of the SINR in precoded multicarrier systems using linear MMSE equalization
Author :
Chang, Bruno S. ; Rocha, Carlos A F da ; Le Ruyet, Didier ; Roviras, Daniel
Author_Institution :
Commun. Res. Group, Fed. Univ. of Santa Catarina, Florianopolis, Brazil
Abstract :
To calculate the unconditional bit error probability directly, the Signal to Interference-plus-Noise Ratio (SINR) distribution of a communications system must be known. However, for precoded systems employing Minimum Mean Square Error (MMSE) equalization, a suitable distribution has not been found yet. In this paper, we propose, as an approximation for the SINR of a precoded multicarrier system employing linear MMSE equalization, the use of the lognormal distribution with the smallest Kullback-Leibler distance to the observed SINR distribution. Simulation results show that the lognormal distribution matches accurately the SINR distribution. The Bit Error Rate (BER) performances with analytical computations using the lognormal distribution are very close to Monte Carlo simulations, even for high SNR values.
Keywords :
Monte Carlo methods; equalisers; error statistics; log normal distribution; mean square error methods; precoding; probability; radiofrequency interference; BER performance; Kullback-Leibler distance; Monte Carlo simulation; SINR distribution; SNR value; bit error rate; communications system; linear MMSE equalization; lognormal distribution; minimum mean square error; precoded multicarrier system; signal to interference-plus-noise ratio; unconditional bit error probability; Approximation methods; Bit error rate; Channel models; Error probability; Interference; Probability density function; Signal to noise ratio;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196528