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The Optimal Distance Threshold for Fractional Frequency Reuse in Size-Scalable Networks

Title
The Optimal Distance Threshold for Fractional Frequency Reuse in Size-Scalable Networks
Author(s)
Chang, Seok-HoKim, Sang-HyoChoi, Jihwan P.
DGIST Authors
Chang, Seok-HoKim, Sang-HyoChoi, Jihwan P.
Issued Date
2020-02
Type
Article
Article Type
Article
Author Keywords
Cellular networksThroughputFrequency conversionBandwidthDownlinkLayoutAerial base stationscell sizecellular networksdistance thresholdfractional frequency reuse (FFR)
Keywords
FADING MIMO CHANNELSTIME BLOCK-CODESCOVERAGE PROBABILITYACHIEVABLE RATEPERFORMANCECAPACITYFFRCOMMUNICATIONDIVERSITYTRADEOFF
ISSN
0018-9251
Abstract
In the fractional frequency reuse (FFR) system, the bandwidth is partitioned into orthogonal subbands such that users in the cell-center region use the subbands of a frequency reuse factor (FR factor) equal to 1, whereas users in the cell-edge region exploit the subbands of an FR factor larger than 1. The distance threshold, which is used to distinguish the cell-edge region from the cell-center region, is an important factor in FFR system performance. In this paper, we study the optimal distance threshold to maximize system throughput in the downlink cellular networks, including aerial base stations. Subject to the constraint that a given target outage probability is satisfied, the optimal distance threshold is analyzed as a function of the cell size. It is proven that when the sizes of all cells in the network are scaled at the same rate, the optimal distance threshold normalized by the cell size is nondecreasing in the cell size. The analytical results in this paper provide a system design guideline for initial planning of FFR cellular networks of different sizes, including macro, pico, and femto systems. In particular, for size-scalable aerial networks comprising base stations in the sky, such as balloons or unmanned aerial vehicles, our analysis offers insight into the design of the distance threshold with regard to the cell size.
URI
http://hdl.handle.net/20.500.11750/11523
DOI
10.1109/TAES.2019.2943048
Publisher
Institute of Electrical and Electronics Engineers Inc.
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Appears in Collections:
Department of Electrical Engineering and Computer Science NCRG(Networks and Communications Research Group) 1. Journal Articles

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