Optimized-Fuzzy-Logic-Based Bit Loading Algorithms

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Author(s): Sankar Ganesh S. (VIT University, India), Mohanaprasad K. (VIT University, India), Arunprakash Jayaprakash (VIT University, India)and Sivanantham Sathasivam (VIT University, India)
Copyright: 2017
Pages: 11
Source title: Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making
Source Author(s)/Editor(s): Arun Kumar Sangaiah (VIT University, India), Xiao-Zhi Gao (University of Eastern Finland, Finland)and Ajith Abraham (Machine Intelligence Research Labs, USA)
DOI: 10.4018/978-1-5225-1008-6.ch013

Keywords: Business & Management / Business and Organizational Research / Business Science Reference / Decision Support Systems

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Abstract

Next generation wireless communication systems promise the subscribers with Giga-bit-data-rate experience at low Bit Error Rate (BER) under adverse channel conditions. In order to maximize the overall system throughput of Orthogonal Frequency Division Multiplexing (OFDM), adaptive modulation is one of the key solutions. In adaptive modulated OFDM, the subcarriers are allocated with data bits and energy in accordance with the Signal to Interference Ratio (SIR) of the multipath channel, which is referred to as adaptive bit loading and adaptive power allocation respectively. The number of iterations required allocating the target bits and energy to a sub channel is optimized. The key choice of the paper is to allocate the bits with minimum number of iterations after clustering the sub channels using fuzzy logic. The proposed method exhibits a faster convergence in obtaining the optimal solution.

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Optimized-Fuzzy-Logic-Based Bit Loading Algorithms

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