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A fuzzy rule base system aided rate enhancement scheme for OFDM systems

机译:OFDM系统的基于模糊规则的系统辅助速率增强方案

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Adaptive communication is one the key attributes of almost all communication systems nowadays. In this way, available resources are optimally used to enhance the overall throughput of system while satisfying certain constraints. In this paper a similar constrained optimization problem is formulated. A fuzzy rule based system (FRBS) is designed and used for solution of the problem. The parameters being optimized for the system are forward error correction (FEC) code and modulation scheme. FRBS suggests how to change these parameters according to varying channel state information (CSI) on Orthogonal Frequency Division Multiplexing (OFDM) channel that throughput can be maximized. Multilevel codes, Quadrature Amplitude Modulation (QAM) are used as FEC and Modulation scheme respectively. Moreover, a modified iterative algorithm is used for decoding the multilevel codes. Significance of proposed scheme is shown by simulations
机译:自适应通信是当今几乎所有通信系统的关键属性之一。以这种方式,在满足某些约束的同时,最优地使用可用资源来增强系统的整体吞吐量。本文提出了类似的约束优化问题。设计了基于模糊规则的系统(FRBS)并将其用于解决问题。为系统优化的参数是前向纠错(FEC)码和调制方案。 FRBS建议如何根据正交频分复用(OFDM)信道上的变化信道状态信息(CSI)来更改这些参数,以使吞吐量最大化。多级码,正交幅度调制(QAM)分别用作FEC和调制方案。此外,使用改进的迭代算法来解码多级代码。仿真表明了所提方案的意义。

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