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Analytical Evaluation of Fractional Frequency Reuse for Heterogeneous\n Cellular Networks

2011/12/03 by Thomas Novlan, Thomas D. Novlan, Radha Krishna Ganti +6
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Base station #Channel (broadcasting) #Computer network #Computer science #Context (archaeology) #Distributed computing #Engineering #FOS: Computer and information sciences #Frequency reuse #Information Theory (cs.IT) #Interference (communication) #Mathematics #Networking and Internet Architecture (cs.NI) #Overhead (engineering) #Percentile #Poisson distribution #Poisson point process #Reuse #Statistics #Wireless Communication Networks Research #cs.IT #cs.NI #math.IT

paper · pdf · doi:10.48550/arxiv.1112.0674

23 pages, 6 figures, submitted: Transactions on Wireless Communications, July 20, 2011

arxiv created 2011/12/03 · openalex publication_date 2011/12/03 · arxiv updated 2011/12/06 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28

Abstract

Interference management techniques are critical to the performance of\nheterogeneous cellular networks, which will have dense and overlapping coverage\nareas, and experience high levels of interference. Fractional frequency reuse\n(FFR) is an attractive interference management technique due to its low\ncomplexity and overhead, and significant coverage improvement for\nlow-percentile (cell-edge) users. Instead of relying on system simulations\nbased on deterministic access point locations, this paper instead proposes an\nanalytical model for evaluating Strict FFR and Soft Frequency Reuse (SFR)\ndeployments based on the spatial Poisson point process. Our results both\ncapture the non-uniformity of heterogeneous deployments and produce tractable\nexpressions which can be used for system design with Strict FFR and SFR. We\nobserve that the use of Strict FFR bands reserved for the users of each tier\nwith the lowest average SINR provides the highest gains in terms of coverage\nand rate, while the use of SFR allows for more efficient use of shared spectrum\nbetween the tiers, while still mitigating much of the interference.\nAdditionally, in the context of multi-tier networks with closed access in some\ntiers, the proposed framework shows the impact of cross-tier interference on\nclosed access FFR, and informs the selection of key FFR parameters in open\naccess.\n

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