Advanced base stations blanking models for mm-waves 5G networks

Bandwidth is one of the limited resources in Long Term Evolution (LTE) and LTE-Advanced (LTE-A) networks. Therefore, new resource allocation techniques such as the frequency reuse are needed to increase the capacity in LTE and LTE-A. However, the system performance is severely degraded using the same frequency in adjacent cells due to increase of inter-cell interference. Therefore, the inter-cell interference management is a critical point to improve the performance of the cellular mobile networks. In this master thesis the focus is on achieving high spectral efficiency by coordination among adjacent base stations. We formulate a base station scheduling problem to determine which base stations can be scheduled to simultaneously transmit, without causing excessive interference to any user of any of scheduled base stations. We formulate the BASICS (Base Stations Inter-Cell Scheduling) algorithm which is in line with the ABSF (almost blank sub-frame) techniques recently standardized at the 3GPP. The implementation, analysis and finding the optimal base stations scheduling were done through programing executed on OPL (Optimization Programing Language) tool which is installed on CPLEX server and simulations are executed on MATLAB simulator. The main contribution of this thesis work is to propose a new scheduling techniques to coordinate base stations downlink activities in order to mitigate the interference caused to neighbor cells, which is different from most of the works, we tackle the problem of inter-cell interference mitigation from perspective of scheduling base stations rather than users.