Throughput maximization for the cross-tier interference in heterogeneous network

Abstract

The implementation of HeNodeB in HetNet is to increase the capacity, coverage, lower the operating costs as well as to offer steady user-based experience of network architecture. The HeNodeBs are deployed with the co-channel allocation along with macro-eNodeB. However, the random HeNodeB deployments raises Cross-tier Interference (CSI). The CSI results in the degradation of total capacity as well as throughput which leads the system performance deterioration. The CSI mainly occurs in the OFDMA signal which interrupts the communication for both UL and DL. Therefore, in this paper evolutionary biogeography-based dynamic subchannel allocation approach is proposed and implemented to evaluated SINR performance, throughput, capacity and percentage of interference. The enhancement of the system throughput, and capacity in terms of Signal to Interference Noise Ratio (SINR) is analyzed, and the interference is reduced. The system level simulation is considered to evaluate the performance of the approach. The results show that, the SINR performance, throughput as well as total capacity is enhanced than the existing technique. © 2016 American Scientific Publishers. All rights reserved.