Centralized dynamic frequency allocation for cell-edge demand satisfaction in fractional frequency reuse networks

Maryum Hina and Sarmad Sohaib ()
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Maryum Hina: University of Engineering and Technology
Sarmad Sohaib: University of Engineering and Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2017, vol. 65, issue 4, No 17, 795-808

Abstract: Abstract Fractional frequency reuse (FFR) has emerged as a well-suited remedy for inter-cell interference reduction in the next-generation networks by allocating frequency reuse factor (FRF) of unity for the cell-center (CC) and higher FRF for the cell-edge (CE) users. However, this strict FFR comes at a cost of equal partitioning of frequency resources to the CE which most likely has varying demands in current networks. In order to mitigate this, we propose a centralized dynamic resource allocation scheme which allocates demand-dependent resources to CE users. The proposed scheme therefore outperforms the fixed allocation scheme of strict FFR for both CC and CE users. Complexity analysis provides a fair means of analyzing the suitability of proposed algorithm. We have also compared the proposed methodology with a reference dynamic fractional frequency reuse (DFFR) scheme. Results show maximum performance gain of up to 30% for 3 reference cells employing Rayleigh fading—through normalized area spectral efficiency (ASE) analysis for both fixed allocation and DFFR. Spectral efficiency analysis also indicates per-cell performance gain for both CC and CE users. Further, detailed three-dimensional ASE plots give insights into the affects to other cells. Due to dynamic nature of traffic loads, the proposed scheme is a candidate solution for satisfying the demands of individual cells.

Keywords: Fractional frequency reuse; Strict FFR; Dynamic resource partitioning; Cell-edge; Area spectral efficiency; Spectral efficiency (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11235-016-0266-z

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