DocumentCode :
2663073
Title :
Performance of Signal-to-Noise Ratio Estimator with Adaptive Modulation
Author :
Lye, Scott Carr Ken ; Arifianto, Mohammad Sigit ; Yew, Hoe Tung ; Liau, Chung Fan ; Teo, Kenneth Tze Kin
Author_Institution :
Modelling, Simulation & Comput. Lab., Univ. Malaysia Sabah, Kota Kinabalu, Malaysia
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
215
Lastpage :
219
Abstract :
Adaptive modulation techniques in wireless communications are paramount technologies designed to thrive in fading and noisy environments. Methods as such require an accurate estimate of the channel condition at the receivers´ end in order for the transmitter to adapt appropriately. With that in mind, a communication link which changes the degree of modulation scheme according to the estimated signal-to-noise ratio (SNR) values is proposed. Hence, the objective of the system is to achieve acceptable quality in a changing communication link. In this paper, spectral efficiency and average bit error rate of the overall system is measured. Monte Carlo simulations of different signals and channel conditions corroborate our analysis and discussion.
Keywords :
Monte Carlo methods; adaptive modulation; error statistics; fading channels; radio receivers; radio transmitters; Monte Carlo simulations; SNR values; adaptive modulation techniques; average bit error rate; channel condition; channel conditions; fading environments; noisy environments; receivers; signal-to-noise ratio estimator performance; spectral efficiency; transmitter; wireless communications; Adaptation models; Bit error rate; Estimation; Modulation; Signal to noise ratio; Transmitters; Wireless communication; Adaptive modulation and coding; BER; Communication systems; SNR estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling Symposium (AMS), 2012 Sixth Asia
Conference_Location :
Bali
Print_ISBN :
978-1-4673-1957-7
Type :
conf
DOI :
10.1109/AMS.2012.40
Filename :
6243896
Link To Document :
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