JOURNAL ARTICLE

On the analysis of channel-aware schedulers in OFDMA-based networks using FFR

Abstract

Interference coordination techniques are typically incorporated in OFDMA-based multi-cellular networks in order to preserve high spectral efficiencies over the whole coverage area and to improve the system capacity. Fractional frequency reuse (FFR) and its variants are employed to mitigate the inter-cell interference that particularly suffer cell-edge users. This paper presents an analytical framework that is used to optimise the FFR parameters in OFDMA networks when using channel-aware scheduling policies. The downlink performance evaluation results are obtained as a function of, for instance, the resource block scheduling policy or the density of UEs per cell. Furthermore, different optimisation designs of the FFR component are proposed that allow a tradeoff between throughput performance and fairness by suitably dimensioning the FFR inner and outer areas and the corresponding frequency allocation to each of these regions.

Keywords:
Computer science Orthogonal frequency-division multiple access Telecommunications link Channel allocation schemes Scheduling (production processes) Dimensioning Computer network Orthogonal frequency-division multiplexing Frequency-division multiple access Frequency reuse Interference (communication) Throughput Channel (broadcasting) Spectral efficiency Base station Telecommunications Wireless Mathematical optimization Engineering Mathematics

Metrics

6
Cited By
0.84
FWCI (Field Weighted Citation Impact)
21
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.