NDLI: Ant Colony Optimization Based Sub-channel Allocation Algorithm for Small Cell HetNets

Content Provider	Springer Nature Link
Author	Siddavaatam, Richa Anpalagan, Alagan Woungang, Isaac Misra, Sudip
Copyright Year	2013
Abstract	Two-tier heterogeneous networks (HetNets) composed of a conventional macrocellular network and small cell networks (SCNs) have been proposed in the literature with the aim to extend indoor coverage and realize efficient radio resource usage. As SCN shares the same frequency band with the underlying macrocell, the cross tier interference needs to be mitigated since the inter-SCN and cross tier interference at the SCN boundary may result in undesirable network performance degradation. In this paper, we propose an intelligent physical resource block (PRB) allocation as a solution to mitigate the downlink intra-SCN interference as well as the inter-tier interference in OFDM-based systems. The allocation of the PRBs to the network users is formulated as a graph coloring problem, and solved using an ant colony optimization (ACO)-based approach. Simulation results are provided, showing that our ACO-based algorithm outperforms the Received Power-based Allocation (RPA) and Received SINR-based Allocation (RSA) algorithms in terms of average SINR experienced by network users, outage probability, and number of required PRBs.
Starting Page	411
Ending Page	432
Page Count	22
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	77
Issue Number	1
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2013-11-17
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	HetNet Heterogeneous network Interference mitigation Small cell networks Ant colony optimization Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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