Enhanced Bat Algorithm for Resource Allocation in Wireless Heterogeneous Networks

Abstract

Wireless heterogeneous networks have gradually become the trend of future network development. In the traditional wireless communication technology, the system based on the macro cellular network can not satisfy the requirements for the high speed communication, so it is necessary to put forward a more scientific network resource allocation scheme to maximize the utilization of network resources. In this paper, the efficiency improvement of Macro/Femtocell heterogeneous network based on orthogonal frequency division multiple access (OFDMA) is concerned, and an inertial weighted bat algorithm based on exponential decrement to improve the energy efficiency of the system is proposed. The method solves the shortcomings of the traditional bat algorithm, such as low convergence and precocity. In order to maximize the energy efficiency of heterogeneous network and satisfy the quality of service (QoS), the optimized bat algorithm is used to allocate spectrum resource carriers. The performance of the optimized bat algorithm is compared with the classical bat algorithm and genetic algorithm. The simulation results show that the improved bat algorithm can improve the energy efficiency of the wireless heterogeneous network for carrier distribution.