The use of bees algorithm for RA and MA based resource allocation in OFDMA

Abstract

The problem of resource allocation in multiuser orthogonal frequency division multiplexing (OFDM) system is a combinatorial optimization problem. The conventional methods for the problem demand high computational complexity and are found to be long iterative algorithms. Intelligent techniques such as genetic algorithms (GAs), simulated annealing, particle swarm optimization (PSO), Tabu search and others offer more speedy and robust solutions. Thus the use of bio-inspired approach to solve NP hard problems for obtaining optimal solutions is gaining importance in networking scenario. This paper suggests the use of Bees Algorithm (BA) as a new method for resource allocation in OFDMA systems. The margin and rate adaptive loading strategies are dealt using Bees algorithm. The results obtained using BA is compared with PSO based resource allocation in OFDMA .