Using AI in wireless communication system for resource managementand optimisation

The existence of Artificial Intelligence (AI) can be seen in everyday scenarios. Nowadays, the produced data by bothmachine and human is overwhelming in which exceeded the ability of humans to understand and digest to makedecisions depending on that data. Thus, a hand of help from AI is needed to overcome such challenges. The 5G LTEcommunication 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 interms of resource management and optimization. With the aid of AI, these two challenges can be overcome. In thispaper, the AI represented by improved Q-learning algorithm with the Self-Organizing Network (SON) concept inLTE will be used to manage and optimize Handover (HO) parameters and process in the system. The ns-3 simulatorresult shows that AI managed to improve and optimize the LTE system performance.

Publication Details

Journal
Periodicals of Engineering and Natural Sciences (PEN)
Published
2025-12-04
DOI
https://doi.org/10.21533/pen.v8.i4.1378
Primary Topic
Advanced Data and IoT Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Using AI in wireless communication system for resource managementand optimisation

Periodicals of Engineering and Natural Sciences (PEN)
Advanced Data and IoT Technologies
article

Using AI in wireless communication system for resource managementand optimisation

article en

Abstract

The existence of Artificial Intelligence (AI) can be seen in everyday scenarios. Nowadays, the produced data by bothmachine and human is overwhelming in which exceeded the ability of humans to understand and digest to makedecisions depending on that data. Thus, a hand of help from AI is needed to overcome such challenges. The 5G LTEcommunication 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 interms of resource management and optimization. With the aid of AI, these two challenges can be overcome. In thispaper, the AI represented by improved Q-learning algorithm with the Self-Organizing Network (SON) concept inLTE will be used to manage and optimize Handover (HO) parameters and process in the system. The ns-3 simulatorresult shows that AI managed to improve and optimize the LTE system performance.

Periodicals of Engineering and Natural Sciences (PEN)Vol. 8(4)
Decent work and economic growth
Openalex Percentile: Top 45%
Advanced Data and IoT Technologies
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