Using AI in wireless communication system for resource managementand optimisation
DOI:
https://doi.org/10.21533/pen.v8.i4.1378Abstract
The existence of Artificial Intelligence (AI) can be seen in everyday scenarios. Nowadays, the produced data by both
machine and human is overwhelming in which exceeded the ability of humans to understand and digest to make
decisions depending on that data. Thus, a hand of help from AI is needed to overcome such challenges. The 5G LTE
communication system is a promising solution to provide a high user experience in terms of the provided speed,
amount of data, and cost. However, and due to its complexity, the technology of LTE needs some improvement in
terms of resource management and optimization. With the aid of AI, these two challenges can be overcome. In this
paper, the AI represented by improved Q-learning algorithm with the Self-Organizing Network (SON) concept in
LTE will be used to manage and optimize Handover (HO) parameters and process in the system. The ns-3 simulator
result shows that AI managed to improve and optimize the LTE system performance.
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