TY - GEN
T1 - Exact error rates of MRC with transmit antenna selection in non-identically distributed nakagami fading channels
AU - Romero-Jerez, Juan M.
AU - Goldsmith, Andrea J.
PY - 2008
Y1 - 2008
N2 - We present exact expressions for the average bit error rate (BER) and symbol error rate (SER) of different modulation techniques of a wireless system with multiple transmit and receive antennas. The receive antennas are assumed to use maximal ratio combining (MRC), whereas the transmit antenna that maximize the instantaneous post-processing signal-to-noise ratio (SNR) is selected. We consider an independent but non- identically distributed (i.n.d.) Nakagami-m fading channel where the long-term SNR and fading parameters from the different transmit antennas are arbitrary and may be different from each other. For the case when the Nakagami fading parameter m has an integer value in every channel, results are given in closed- form as a finite sum of simple terms For the case when fading parameters take any real value, our results are given in terms of the multivariate Lauricella hypergeometric function F A (n). Monte Carlo simulations are shown to validate our theoretical analysis.
AB - We present exact expressions for the average bit error rate (BER) and symbol error rate (SER) of different modulation techniques of a wireless system with multiple transmit and receive antennas. The receive antennas are assumed to use maximal ratio combining (MRC), whereas the transmit antenna that maximize the instantaneous post-processing signal-to-noise ratio (SNR) is selected. We consider an independent but non- identically distributed (i.n.d.) Nakagami-m fading channel where the long-term SNR and fading parameters from the different transmit antennas are arbitrary and may be different from each other. For the case when the Nakagami fading parameter m has an integer value in every channel, results are given in closed- form as a finite sum of simple terms For the case when fading parameters take any real value, our results are given in terms of the multivariate Lauricella hypergeometric function F A (n). Monte Carlo simulations are shown to validate our theoretical analysis.
KW - Lauricella's hypergeometric functions
KW - Nakagami-m fading
KW - Transmit antenna selection (TAS)
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U2 - 10.1109/GLOCOM.2008.ECP.197
DO - 10.1109/GLOCOM.2008.ECP.197
M3 - Conference contribution
AN - SCOPUS:67249153590
SN - 9781424423248
T3 - GLOBECOM - IEEE Global Telecommunications Conference
SP - 997
EP - 1001
BT - 2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
T2 - 2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Y2 - 30 November 2008 through 4 December 2008
ER -