Rate Adaptive Resource Allocation in Ofdma Using Bees Algorithm

Abstract

Orthogonal Frequency Division Multiple Access (OFDMA) is the promising access technique for future networks which allows multiple users to transmit simultaneously. The problem of allocating resources (subcarriers, bit and power) among the communicating users in multiuser orthogonal frequency division multiplexing (OFDM) system is a constraint optimization problem. Bio-inspired Networking represents an emerging area to obtain optimal solutions for handling various challenges in the networking scenario. Nature is our mother and an inspiration from nature always gives the best. Bio-inspired algorithms are known for their efficiency in solving NP hard problems. This paper focusses on realizing the rate adaptive resource allocation problem in OFDM systems using bio-inspired approach. The resource allocation problem using Genetic Algorithm, algorithms based on foraging behavior in ants and flocking behavior in birds have already been modelled. The paper suggests the application of Bees Algorithm for resource allocation in OFDMA with the goal of maximizing the data rate of each user.