Optimal channel allocation with dynamic power control in cellular networks

TL;DR

This paper introduces a novel ILP-based method for joint channel allocation and power control in cellular networks, improving call quality and reducing power consumption through a hybrid scheme that ensures CIR thresholds and minimizes power use.

Contribution

It presents a new ILP formulation for combined channel allocation and power control, incorporating a hybrid scheme to optimize network performance without dropping ongoing calls.

Findings

Significant reduction in call-blocking and calldropping probabilities.

Improved signal quality and reduced power consumption.

Enhanced performance over existing techniques in simulations.

Abstract

Techniques for channel allocation in cellular networks have been an area of intense research interest for many years. An efficient channel allocation scheme can significantly reduce call-blocking and calldropping probabilities. Another important issue is to effectively manage the power requirements for communication. An efficient power control strategy leads to reduced power consumption and improved signal quality. In this paper, we present a novel integer linear program (ILP) formulation that jointly optimizes channel allocation and power control for incoming calls, based on the carrier-to-interference ratio (CIR). In our approach we use a hybrid channel assignment scheme, where an incoming call is admitted only if a suitable channel is found such that the CIR of all ongoing calls on that channel, as well as that of the new call, will be above a specified value. Our formulation also guarantees that the overall power requirement for the selected channel will be minimized as much as possible and that no ongoing calls will be dropped as a result of admitting the new call. We have run simulations on a benchmark 49 cell environment with 70 channels to investigate the effect of different parameters such as the desired CIR. The results indicate that our approach leads to significant improvements over existing techniques.