Heterogeneous Network Resource Allocation Optimization Based on Improved Bat Algorithm

Femtocell networks can enhance indoor coverage and increase system capacity, but in the spectrum-shared Orthogonal Frequency Division Multiple Access (OFDMA) femtocell networks, peer-to-peer interference between femtocells and Cross-layer interference between femtocells and Macrocells severely limits system performance. For this kind of interference, a bat algorithm based on decreasing inertia weight is proposed. Taking the maximization of system throughput as the optimization goal, under the premise of satisfying the quality of service (Qos) of heterogeneous network users, the channel resource allocation of spectrum resources is performed using the improved bat algorithm, and the performance of the algorithm is compared with the genetic algorithm. Simulation results show that the number of sub-channels affects the network system capacity. Experiments show that in a heterogeneous network, the bat algorithm is used to allocate subchannels to improve the system capacity.