Optimized Channel Allocation Algorithm for Performance Enhancement in Heterogeneous Networks

  • Dharm Raj Department of Computer Science & Engineering, Sharda School of Engineering & Technology, Sharda University, Greater Noida, India
  • Anil Kumar Sagar Department of Computer Science & Engineering, Sharda School of Engineering & Technology, Sharda University, Greater Noida, India
  • Danish Ather Amity University, Tashkent, Uzbekistan
Keywords: Channel Allocation, Heterogeneous Networks, 5G, nIterference Management, Adaptive Algorithm

Abstract

Abstract. Heterogeneous networks (HetNets) enhance wireless communication
by integrating various access technologies. However, efficient channel allocation
remains a key challenge due to interference and diverse traffic demands. This
paper introduces an Adaptive Multi-Metric Channel Allocation (AMMCA)
algorithm that utilizes real-time parameters such as SINR, interference, and
user priority to dynamically allocate channels. Simulation in NS-3 demonstrates
improvements in throughput, delay, and packet loss over existing methods,
making AMMCA suitable for 5G and future networks.

Published
2025-05-09
How to Cite
Dharm Raj, Anil Kumar Sagar, & Danish Ather. (2025). Optimized Channel Allocation Algorithm for Performance Enhancement in Heterogeneous Networks. MATRIX Academic International Online Journal Of Engineering And Technology, 8(1), 1-12. Retrieved from https://maiojet.com/index.php/matrix/article/view/74
Issue
Vol. 8 No. 1 (2025): April, 2025
Section
Articles