Conference Paper2025

Optimized Bandwidth Allocation in Cellular Networks Using Genetic Algorithms and a Historical Stability Index

Md Asef Jawad, Mohammad Mehedi Hasan Munna, Nahid Hossain Antu, Reefka Fabliha Tulona, Acramul Haque Kabir, Ashraful Islam

2025 International Conference on Intelligent Computing and Next Generation Networks (ICNGN)

IEEE, pp. 1-5

  • Industry, Innovation and Infrastructure — Relevance: 60%
DOI: 10.1109/icngn67480.2025.11413736URL

Keywords

  • cellular networks
  • Bandwidth allocation
  • Genetic algorithm
  • resource allocation optimization

CCDS Authors

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, Pattern Recognition, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

References

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  12. 12.Brice Jibia, Richard Mbondjo Essomba, Steyve Nyatte, Jacques Matanga, Jean-Francois Essiben, Severin Nguiya. (2025). A hybrid deep reinforcement learning and genetic algorithm approach for optimized resource allocation and reconfigurable intelligent surface deployment in 6G holographic communication. International Journal of Intelligent Networks, 6, 265–282[10.1016/j.ijin.2025.11.001]
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