MiCi: A Novel Micro-Level Temporal Channel Imploration for Mobile Hosts

TL;DR

This paper introduces MiCi, a micro-level temporal channel allocation mechanism for mobile networks that improves resource utilization and QoS by dynamically borrowing channels from neighboring cells, tested via simulation.

Contribution

MiCi is a novel, scalable, and high-availability channel allocation method that enhances on-demand resource sharing among mobile network cells.

Findings

MiCi outperforms standard FCA and Greedy Borrowing schemes in simulations.

MiCi demonstrates high scalability and availability.

Simulation results show promising improvements in resource utilization.

Abstract

The exponential increase of multimedia services by the mobile users requires seamless connectivity with cost effective Quality of Service QoS provisioning. For providing such on-demand QoS, the network needs to utilize the radio channels among the Mobile Hosts (MHs) effectively. We use vector genetic algorithm VGA for temporal imploration of sharable channel(s) from the neighbouring cells to fulfill the needs of a cell. We propose a new micro-level temporal channel imploration mechanism MiCi, which promptly allocates available borrowing channel s of the neighbouring cell(s) to the needy cell. The novelty of MiCi is scalability, high availability, and on demand allocation of the channels to the desired cells. The performance of our model has been tested by simulation against a standard FCA scheme as well as a Greedy Borrowing Heuristic. In all the test cases MiCi shows promising results in comparison to both the schemes.