Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques

Abstract

Allocating radio resources dynamically in wireless network is highly complex and non-linear. It becomes even more complex when the wireless network is designed for heterogeneous traffics with different quality of service (QoS) requirement like WiMAX network. In this paper, we proposed a low complex algorithm for subcarrier allocation in multiuser OFDM of WiMAX system. The proposed algorithm uses particle swarm optimization (PSO) technique to search subcarrier with high channel gain and allocate it to users. The proposed method has a complexity of Mlog2N for M users and N number of subcarriers using big O O(.) notation. The proposed algorithm has been compared with previous works, and it has been shown that this algorithm has an average of 22.5% less central processing unit (CPU) time usage for allocating resources.