A fog-driven dynamic resource allocation technique in ultra dense femtocell networks. (1st November 2019)

• Record Type: Journal Article
• Authors: Goudarzi, Mohammad; Palaniswami, Marimuthu; Buyya, Rajkumar
• Is Part Of: Journal of network and computer applications. Volume 145(2019)
• Publication Date: 2019-11-01
• Subjects: Femtocell networks -- Distributed dynamic clustering -- Fog servers -- Policy aware resource allocation -- 3GPP long term evolution (LTE); Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2019.102407
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: The highly dense small cell structure filled with large number of Femtocell Base Stations (FBSs) is expected to address the increasing data demand of end users in current and upcoming generation of wireless networks. However, the large and random deployment of such devices incur severe interference which leads to significant performance degradation. To overcome this issue in the Orthogonal Frequency Division Multiple Access (OFDMA)-based femtocell networks, we propose a hierarchical technique consisting of a dynamic distributed clustering and a fog-driven resource allocation to optimize the total throughput of the network while mitigating the interference. Our fully distributed clustering method is designed so that FBSs adaptively form clusters with dynamic size based on the current status of the network and end users. Moreover, we put forward a policy-aware resource allocation method to address the intra and inter-cluster interference, which are two potential types of interference in clustering-based resource allocation techniques. Since our technique carefully considers users' demands in cluster formation, there is always sufficient resources for end users in each cluster, so that each cluster head can find a resource allocation solution, by which no intra-cluster interference occurs. Besides, we employ local fog servers situated in the proximity of clusters for monitoring and assigning a set of policies to CHs for resource allocation, by which the number of inter-cluster interference can be significantly reduced. The extensive simulation results demonstrate that our proposed hierarchical technique significantly improves total throughout, interference, user satisfaction, and fairness compared to other proposed techniques in dense and ultra-dense femtocell networks.