Location Awareness for Interference Management in 5G Networks

Abstract

The deployment of the ultra-dense network in next generation 5G new radio (NR) offers better network capacity and higher data rates. However, the ultra-dense network also causes numerous interferences, such as inter-cell, intra-cell, and inter-user interference. Interferences degrade SINR performances. Furthermore, the next generation 5G NR also suffers in higher path loss which degrades the SNR performances. On the other hand,5G networks will enable high accuracy positioning that can be leveraged to design and optimize wireless networks. In this thesis, we utilize this location information feature of 5G NR for managing the interference. Moreover, different existing interference mitigation approaches are described as background information of interference management. In this thesis beamforming technique has been considered to achieve higher location accuracy and to compensate the path loss. The aid of using beamforming is to achieve the higher antenna gain which enables to steer the transmit signal directly towards the desired user. The simulation result shows that the beamforming technique by using multiple antenna arrays significantly improves the SINR performance along with the SNR performance.