Title :
On the impact of SNR estimation error on adaptive modulation
Author :
Mohammad, Maruf ; Buehrer, R. Michael
Author_Institution :
Mobile and Portable Radio Res. Group, Virginia Tech., Blacksburg, VA, USA
fDate :
6/1/2005 12:00:00 AM
Abstract :
In this letter we investigate the impact of signal-to-noise ratio (SNR) estimation on the performance of adaptive modulation. The adaptive modulation technique uses an estimate of the SNR at the receiver to choose a modulation scheme so that a given performance target is met. By adapting the modulation scheme, the link is able to improve the spectral efficiency as compared to static modulation. An analytic expression for the impact of SNR estimation error is derived and it is shown that SNR estimation has minimal impact on the performance.
Keywords :
Rayleigh channels; adaptive modulation; error statistics; maximum likelihood estimation; radio receivers; BER; SNR; adaptive modulation; bit error rate; maximum likelihood estimation; noncentral F-distribution; radio receiver; signal-to-noise ratio estimation; slow Rayleigh fading channel; spectral efficiency; Binary phase shift keying; Bit error rate; Estimation error; Fading; Performance analysis; Quadrature phase shift keying; Radio transmitters; Shadow mapping; Signal to noise ratio; Viterbi algorithm;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2005.1437347