Decentralized bit, subcarrier and power allocation with interference avoidance in multicell OFDMA systems using game theoretic approach

This paper addresses the adaptive allocation of subcarrier, bit and power resources in the downlink of multicell OFDMA systems, where base stations allocate radio resources in a decentralized manner. Our algorithm uses discrete bit-loading values which is more applicable to the practical systems. Noncooperative game theoretic approach is adopted and we first only include the transmit power and throughput in the payoff function of each base station. Using the optimal solutions as the benchmark, the performance of this noncooperative game is obtained through computer simulations. Our simulation results show that in the multicell OFDMA systems with frequency reuse factor of one, such payoff function provides inadequate utilization efficiency due to the presence of high co-channel interference. We next incorporate the number of allocated subcarriers in the payoff function of each base station. We show that the new payoff function avoid neighboring base station from transmitting using the same subcarrier when interference is large. This resembles the use of interference avoidance technique in the algorithm, and can achieve better resource utilization when compared to the water-filling counterpart.