Fuzzy inference system based adaptive modulation scheme for optical wireless communication

Bong , Siaw Wee and Abdullah, Mohammad Faiz Liew (2012) Fuzzy inference system based adaptive modulation scheme for optical wireless communication. In: Persidangan Kebangsaan Penyelidikan dan Inovasi Dalam Sistem Pendidikan dan Latihan Teknikal dan Vokasional CiETVET 2012, 25-26 September 2012, Politeknik Nilai, Negeri Sembilan.

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Abstract

The modern era of indoor wireless optical communications is using the diffuse emissions in the infrared band for indoor communications. The optical wireless channel was limited by channel constraints such as the maximum allowable optical power and available bandwidth. Modulation schemes well suited to conventional channel were not necessarily perform well for the optical wireless channel. Bandwidth and power efficiency of various modulation schemes for wireless optical communication indoor applications are investigated. These schemes include On-Off Key (OOK), Pulse Amplitude Modulation (PAM), Differential Pulse Position Modulation (DPPM), and differential amplitude PPM (DAPPM). As a result, an adaptive modulation scheme named Adaptive Differential Amplitude Pulse-Position Modulation (DAPPM) is proposed because DAPPM was found to be the best modulation schemes in terms of power and bandwidth requirements under careful design. In addition, the fuzzy logic module is developed to assist the adaptation process of DAPPM. The Fuzzy logic control system can realise system adaptation by just applying the rules to fuzzy interference process. This showed a simple but yet powerful approach of Fuzzy logic method which can be provided for system design and used in which the decisions made by the system will be approaching to what would be decided by the user in the real world.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:fuzzy inference system; modulation scheme; optical wireless communication
Subjects:T Technology > TJ Mechanical engineering and machinery > TJ212-225 Control engineering systems. Automatic machinery (General)
Divisions:Faculty of Electrical and Electronic Engineering > Department of Communication Engineering
ID Code:3389
Deposited By:Normajihan Abd. Rahman
Deposited On:28 Feb 2013 14:11
Last Modified:21 Jan 2015 16:08

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