Aggressive Subchannel Allocation Algorithm for Efficient Dynamic Channel Allocation in Multi-User OFDMA System

This paper solves the problem of finding an intelligent subchannel allocation method to communicate with multiple users in OFDMA wireless systems. We propose an ASA (aggressive sub-channel allocation) algorithm, which is an intelligent dynamic channel allocation algorithm considering all users´ channel state information conditionally to maximize throughput in an OFDMA system. We compare the ASA algorithm with round-robin, PF (proportional fair) and ACG (amplitude craving greedy) in the 2-tier cell environment and then analyze the performance of each algorithm through computer simulation in downlink OFDMA system. Simulation results show that the proposed ASA algorithm gets 24 %, 16 % and 14 % better ring throughput compared with the round-robin, PF and ACG, respectively