An Interference-Aware Virtual Clustering Paradigm for Resource Management in Cognitive Femtocell Networks

TL;DR

This paper introduces a virtual clustering approach for femtocell networks that reduces interference and complexity by logically grouping femtocell access points and dynamically adapting to network changes, improving performance in dense deployments.

Contribution

The paper proposes a novel generalized virtual cluster femtocell (GVCF) architecture that effectively manages interference and reduces system complexity in uncoordinated femtocell deployments.

Findings

GVCF significantly reduces interference in dense femtocell scenarios.

Dynamic adaptation of clusters improves network QoS.

Simulation confirms superior performance of GVCF over existing methods.

Abstract

Femtocells represent a promising alternative solution for high quality wireless access in indoor scenarios where conventional cellular system coverage can be poor. Femtocell access points (FAP) are normally randomly deployed by the end user, so only post deployment network planning is possible. Furthermore, this uncoordinated deployment creates the potential for severe interference to co-located femtocells, especially in dense deployments. This paper presents a new femtocell network architecture using a generalized virtual cluster femtocell (GVCF) paradigm, which groups together FAP, which are allocated to the same femtocell gateway (FGW), into logical clusters. This guarantees severely interfering and overlapping femtocells are assigned to different clusters, and since each cluster operates on a different band of frequencies, the corresponding virtual cluster controller only has to manage its own FAP members, so the overall system complexity is low. The performance of the GVCF algorithm is analysed from both a resource availability and cluster number perspective, and a novel strategy is proposed for dynamically adapting these to network environment changes, while upholding quality-of-service requirements. Simulation results conclusively corroborate the superior performance of the GVCF model in interference mitigation, particularly in high density FAP scenarios.