A Novel Genetic Algorithm for Adaptive Resource Allocation in MIMO-OFDM Systems with Proportional Rate Constraint

In this paper we present a novel technique for resource allocation in Multiuser Orthogonal Frequency Division Multiplexing (MU-OFDM) Systems with proportional rate constraint. The subcarrier allocation is tackled using a novel algorithm which combines the aspects of both deterministic and genetic algorithms (GA). For the calculated subcarrier allocation, bit-loading is done using the standard Water-filling Algorithm. This modified GA gave very encouraging results as can be seen from the simulation results shown. The simulation results show a marked improvement in the performance of the algorithm as the number of users increase. The capacity attained from the subcarrier allocation scheme generated by our algorithm is found to be comparable to that attained by previous algorithms.