Volume 18, Number 1

Hlevra: An Efficient Resource Allocation Strategy for Uplink and Downlink in 6g Networks

  Authors

Kavyashree M K and N Shankaraiah N , JSS Science and Technology University, India

  Abstract

During the last decade, there has been a massive development of wireless networks, and nowadays 4G and 5G technologies are a usual thing. The next generation 6G standard is even more promiscuous, such as improved artificial intelligence (AI). In order to maximize resource allocation on 6G networks, the study suggests Horned Lizard Ensemble Voting Resource Allocation (HLEVRA) model. HLEVRA uses AI methods to compute user needs on resources and distribute them to them. In simulating an environment of a 6G network using NS3, the HLEVRA performance is measured according to the most important parameters, including throughput, data transfer rate, energy consumption, communication delay and packet drop. The findings reveal that HLEVRA is effective in the management of resources in a 6G network. HLEVRA recorded a spectacular throughput of 14.7 Gbps, data rate of 840 Kbps, 0.33 mW of energy usage, 20 ms of communication delay and packet drop rate of 12.5 with 100 users connected. These results indicate that HLEVRA is an effective strategy to optimize the 6G network performance.

  Keywords

6G Cellular Systems, Horned Lizard Optimization, Data transfer rate, Power consumption, Packet drop.