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

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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.

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Authors and Affiliations

  1. Ryerson University, Toronto, ON, Canada

    Richa Siddavaatam, Alagan Anpalagan & Isaac Woungang

  2. Indian Institute of Technology, Kharagpur, India

    Sudip Misra

Authors
  1. Richa Siddavaatam
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  2. Alagan Anpalagan
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  3. Isaac Woungang
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  4. Sudip Misra
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Correspondence to Alagan Anpalagan.

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Siddavaatam, R., Anpalagan, A., Woungang, I. et al. Ant Colony Optimization Based Sub-channel Allocation Algorithm for Small Cell HetNets. Wireless Pers Commun 77, 411–432 (2014). https://doi.org/10.1007/s11277-013-1513-1

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  • DOI: https://doi.org/10.1007/s11277-013-1513-1

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