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Optimum resource allocation in OFDM systems using frbs and Particle Swarm Optimization

机译:使用FRB和粒子群优化OFDM系统中的最佳资源分配

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Optimum allocation of resources is demand of every modern communication system. In this way the transmission parameters like code rate, modulation size and power are optimally chosen to enhance the overall system throughput while satisfying certain constraints at the same time. A similar constrained optimization problem is focused for OFDM environment and solved by proposed Fuzzy Rule Based System (FRBS) and Particle Swarm Optimization (PSO). In this proposal FRBS is used for adapting code rate and modulation size while PSO is used for adaptive power. Significance of the proposed scheme is shown through the simulations.
机译:最佳资源分配是每个现代通信系统的需求。 以这种方式,最佳选择码速率,调制大小和功率等传输参数,以同时满足某些约束的同时增强整体系统吞吐量。 类似的约束优化问题专注于OFDM环境,并通过所提出的模糊规则的系统(FRB)和粒子群优化(PSO)解决。 在此提议中,FRBS用于调整码率和调制大小,而PSO用于自适应电源。 通过模拟显示所提出的方案的意义。

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