LTE/Wi-Fi Coexistence solutions for unlicensed bands
LTE-DC, LTE-LBT, ns-3, CSAT, machine learning.
The objective of this master thesis plan is to perform a study on the application of LTE networks in the ISM (Industrial Scientific and Medical) spectrum and its consequent impact on heterogeneous technologies commonly coexisting in the same frequency range. Initially, a theoretical elucidation about the regulations that involve the use of unlicensed spectrum as well as the main LTE coexistence solutions in this medium is made, highlighting the mechanism recently standardized by 3GPP (LTE-LBT) and pioneering companies in the field, such as a solution from Qualcomm (the LTE-DC). As a practical elucidation of the initial theoretical investigation, performance analyzes of the respective solutions are developed using the ns-3 simulator. In the end, a solution proposal for the Carrier-Sensing Adaptive Transmission (CSAT) mechanism based on machine learning is presented. This solution aims to improve the performance of LTE-DC. In the final version of the master thesis, this adaptive solution will be compared with the classical solutions and its gain will be evidenced.