B.H., Luu, Bach HungLuu, Bach HungB.H.N.T.B., Nguyen, Ngoc Tan B.Nguyen, Ngoc Tan B.N.T.B.T.N., Bui, Trung NinhBui, Trung NinhT.N.S.C., Lam, Sinh CongLam, Sinh CongS.C.N.H., Nguyen, Nam HoangNguyen, Nam HoangN.H.H.T., Thu, Hoang ThiThu, Hoang ThiH.T.Nguyen, T.D.L.Dawson, M.Ngoc, L.A.Lam, K.Y.2025-09-032025-09-03202410.1007/978-981-97-5504-2_71https://scholar.vnu.edu.vn/handle/123456789/8178Fractional Frequency Reuse (FFR) technique, which allows the reuse of radio resource between all adjacent cells, is the core technique of 4G, 5G and B5G cellular networks. Conventionally, the FFR defines the active users based on the Signal-to-Interference-plus-Noise Ratio (SINR), Signal-to-Noise (SNR) or the distance between the user and its serving Base Station (BS). In comparison to other classification methods, the distanced-based approach is possible to deploy in the practical networks with the low computation load. In this paper, the performance of the distance-based FFR technique is evaluated in the condition of Rayleigh fading and the mixed LoS/nLoS scenarios. Through the mathematical expressions that are derived for random Poisson Point Process network topology, it is showed that the coverage probability of the Cell-Center User (CCU) is slightly affected by the LoS and nLoS scenarios when the reference distance R<inf>0</inf>R<inf>0</inf> is small enough. In addition, both the CCU and Cell-Edge User coverage probability increase with the density of BSs. Furthermore, both CCU and CEU coverage probability may reduce as the reference distance increases. © 2024 Elsevier B.V., All rights reserved.EnglishCoverage ProbabilityDistance-based FfrLosNlosPoisson Point Process4g Mobile Communication Systems5g Mobile Communication SystemsQueueing NetworksRayleigh FadingCell CentersCellular NetworkCoverage ProbabilitiesDistance-basedDistance-based Fractional Frequency ReuseFractional Frequency ReuseLosNlosPerformancePoisson Point ProcessSignal To Noise RatioConference paper