Optimum Resource Allocation in Orthogonal Frequency Division Multiplexing Communication System using Fuzzy Rule Base System and Particle Swarm Optimization and Comparison with Conventional other Techniques | Zendy

Farhana Mustafa | Zendy; Padma Lohiya | Zendy

Open Access

Optimum Resource Allocation in Orthogonal Frequency Division Multiplexing Communication System using Fuzzy Rule Base System and Particle Swarm Optimization and Comparison with Conventional other Techniques

Author(s) -

Farhana Mustafa,

Padma Lohiya

Publication year - 2015

Publication title -

international journal of wireless and microwave technologies

Language(s) - English

Resource type - Journals

eISSN - 2076-9539

pISSN - 2076-1449

DOI - 10.5815/ijwmt.2015.06.06

Subject(s) - particle swarm optimization , computer science , orthogonal frequency division multiplexing , fuzzy rule , resource allocation , fuzzy logic , mathematical optimization , code (set theory) , quality of service , base station , real time computing , algorithm , fuzzy control system , telecommunications , computer network , artificial intelligence , mathematics , channel (broadcasting) , set (abstract data type) , programming language

OFDM is a technique that is chosen for high data rate communication and is important for 4th generation communication systems. To provide best possible quality of service, intelligent allocation of resources such as power, bandwidths are necessary. Various algorithms have been proposed for allocation of resources. Fuzzy Rule Based System (FRBS) and Particle Swarm Optimization (PSO) algorithm are used for optimization of code rate, modulation and power. FRBS is used to choose the best possible modulation and code rate and PSO is used for better power allocation.

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