Fuzzy inference system based adaptive modulation scheme for optical wireless communication

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...

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Bibliographic Details
Main Authors: Bong , Siaw Wee, Abdullah, Mohammad Faiz Liew
Format: Conference or Workshop Item
Published: 2012
Subjects:
Online Access:http://eprints.uthm.edu.my/3389/
http://eprints.uthm.edu.my/3389/1/Fuzzy_Inference_System_Based_Adaptive_Modulation.pdf
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Summary: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.