A GA-FRBS Based Rate Enhancement Scheme for OFDM Based Hyperlans

Atta-ur-Rahman, I. Qureshi, M. T. Naseem, M. Z. Muzaffar
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引用次数: 11

Abstract

Adaptive communication is need and feature of every current communication system. In this technique the transmission parameters are adapted in such a way that overall system throughput may be enhanced while satisfying certain number of constraints. In short this is a constrained optimization problem. In this paper a similar constrained optimization problem is focused and solved by making certain parameters adaptive that are code rate, modulation scheme and transmit power in a multicarrier OFDM environment. For adapting the said parameters a Fuzzy Rule Base System (FRBS) is used in conjunction with Genetic Algorithm (GA). So FRBS and GA suggest the optimum code rate, modulation symbol and power with respect to the channel state information (CSI) given at any instance that can maximize the throughput while satisfying constraints like power and bit error rate (BER). Product codes and Quadrature Amplitude Modulation (QAM) are used as coding and modulation schemes respectively. Simulation results show the significance of proposed scheme.
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一种基于GA-FRBS的OFDM超局域网速率增强方案
自适应通信是当前各种通信系统的需求和特点。在这种技术中,传输参数被调整成这样一种方式,即在满足一定数量的约束的同时,可以提高整个系统的吞吐量。简而言之,这是一个约束优化问题。本文重点研究了多载波OFDM环境下的一个类似的约束优化问题,并通过使码率、调制方案和发射功率等参数自适应来解决该问题。为了适应上述参数,将模糊规则库系统(FRBS)与遗传算法(GA)结合使用。因此,在满足功率和误码率(BER)等约束的情况下,FRBS和GA根据给定的信道状态信息(CSI)给出了最优的码率、调制符号和功率。分别采用积码和正交调幅(QAM)作为编码和调制方案。仿真结果表明了该方案的有效性。
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