基于OFDMA的无线分布式计算系统的延迟优化和更高传输速率的功率效率

Tangudu Ramji
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引用次数: 2

摘要

当前无线分布式计算(WDC)系统存在的主要因素之一是时延。其通信系统对电力效率、可靠性有一定的要求。这些在衰落信道条件下的需求对WDC系统提出了比传统分布式计算系统更大的挑战。在本文中,我们的目标是最小化延迟。其中,大数据传输和接收的约束条件主要是功率效率和精度。提出了基于OFDMA的WDC系统,实现了零干扰。本文采用了一种称为粒子群优化(PSO)的进化方法。该算法在给定约束条件下给出上述目标函数的全局最优解。利用计算机仿真分析了采用枚举算法的系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Latency optimization and power efficiency with higher transmission data rate in OFDMA based wireless distributed computing system
Current wireless distributed computing (WDC) system has one of the major factors is latency. There has a demand for power efficiency, reliable in its communication system. These demands under fading channel conditions give stupendous challenges to WDC system over traditional distributed computing system. In this paper, the objective is to minimize the latency. Where constraints are considered as power efficiency and accuracy in huge data rate transmitting and receiving. I propose OFDMA based WDC system, to achieve the zero interference. This paper uses an evolutionary method, called the particle swarm optimization (PSO). This algorithm gives global optimum solution to above specified objective function with particularized constraints. The performance of proposed system with enumerated algorithm is analyzed using computer simulation.
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