Channel Allocation in 5G Networks using Ant Colony Optimization Algorithm

Efficient channel allocation is crucial for enabling concurrent calls and data sessions within a cellular network in general. When channels are inefficiently allocated, network congestion may occur leading to call blocking due to a lack of available channels. In this research, an Ant Colony Optimiza...

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Bibliographic Details
Published inInternational Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE ...) (Online) pp. 1 - 5
Main Authors Hussein, Areej, Anbar, Mohammad, Molhem, Mohammed, Oudeh, Atheer Yousif, Nassr, Mohammad, Fardoun, Habib
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.02.2024
Subjects
5G mobile communication
ACO
Ant colony optimization
call blocking probability (CBP)
Cellular networks
Channel allocation
Power engineering
Python
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ISSN2831-7262
DOI10.1109/REEPE60449.2024.10479823

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Summary:Efficient channel allocation is crucial for enabling concurrent calls and data sessions within a cellular network in general. When channels are inefficiently allocated, network congestion may occur leading to call blocking due to a lack of available channels. In this research, an Ant Colony Optimization (ACO) algorithm-based model has been proposed to tackle channel allocation problem in 5G cellular networks. The proposed model has been simulated using Python. The experimental study focused on minimizing Call Block Probability (CBP) by optimizing channel allocation as the number of network users increase.
ISSN:2831-7262
DOI:10.1109/REEPE60449.2024.10479823