Title :
Latency optimization and power efficiency with higher transmission data rate in OFDMA based wireless distributed computing system
Author_Institution :
Sch. of Electr. Sci., IIT Bhubaneswar, Bhubaneswar, India
Abstract :
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.
Keywords :
OFDM modulation; evolutionary computation; fading channels; frequency division multiple access; particle swarm optimisation; telecommunication computing; telecommunication network reliability; OFDMA based wireless distributed computing system; PSO; WDC system; communication system reliability; evolutionary method; fading channel; higher transmission data rate; latency minimization; latency optimization; orthogonal frequency division multiple access; particle swarm optimization; power efficiency; zero interference; Analytical models; Artificial neural networks; Computational modeling; Handheld computers; OFDM; Quality of service; Wireless communication; Latency; OFDMA; Wireless Distributed Computing System;
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
DOI :
10.1109/ICACCCT.2014.7019279