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
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