Lye, Scott Carr Ken and Mohammad Sigit Arifianto and Yew, Hoe Tung and Liau, Chung Fan and Teo, Jason Tze Wi (2012) Performance of signal-to-noise ratio estimator with adaptive modulation. In: 6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012, 29-31 May 2012, Bali, Indonesia.
Full text not available from this repository.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.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Adaptive modulation and coding, BER, Communication systems, SNR estimation, Adaptive modulation and coding, Adaptive modulation techniques, Average bit-error rates, BER, Channel conditions, Modulation schemes, Monte Carlo Simulation, Noisy environment, Signaltonoise ratio (SNR), SNR estimation, Spectral efficiencies, Wireless communications, Adaptive modulation, Communication systems, Computer simulation, Estimation, Mathematical models, Monte Carlo methods, Spectrum analyzers, Wireless telecommunication systems, Signal to noise ratio |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television |
| Department: | SCHOOL > School of Engineering and Information Technology |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 09 Nov 2012 16:52 |
| Last Modified: | 08 Sep 2014 14:21 |
| URI: | https://eprints.ums.edu.my/id/eprint/5361 |
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