ABSTRACT
A Heterogeneous Network (HetNet) is a combination of networks, such as macro cell and small cell, which has been introduced as an LTE-Advanced (LTE-A) standard in 3GPP Release 10 in order to provide higher network capacity and coverage. However, interference could occur because macro cells have a much higher transmit power than small cells, and the cell-edge users of small cells may use the same radio resources as macro cell users. To cope with this problem, we propose an optimization of resource allocation using Taguchi’s method to improve a system’s throughput. In addition, Machine to Machine Communication (M2M), also known as Machine Type Communication (MTC), is a future wireless communication technology that will be used for industry 4.0. In order to provide MTC services, 3GPP allows some wireless networks, such as LTE-A, Wi-Fi and Internet-of-Things (IoT), to co-exist in the 5 GHz band through Carrier Aggregation (CA), namely Licensed Assisted Access (LAA). MTC devices will be allowed to access the channel with LTE-A users using the Listen Before Talk (LBT) protocol. Our simulation results show that Proportional Fair (PF) is the optimum scheduler that can be used in both licensed and unlicensed bands for the LTE-A network when Frame Based Equipment (FBE) based LBT is adopted as the channel access mechanism. Furthermore, the performance of Taguchi’s method is better than a genetic algorithm because of its faster convergence speed.
