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

Abstract

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