Optimal Configuration of Fractional Frequency Reuse System for LTE Cellular Networks

Amer, Muhieddin

doi:10.1109/vtcfall.2012.6399168

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…The average cell throughput in FFR system is derived in [26] as a function of the distance threshold for both round robin and maximum SINR scheduling strategies. The authors in [27] introduced an analytical optimisation technique to configure an FFR solution for the downlink of LTE cellular system. In [28], the authors proposed a mechanism that selects the optimal size of the inner and outer regions for each cell as well as the optimal frequency allocation between these regions that either maximises the mean user throughput or the user satisfaction.…”

Section: Iet Communicationsmentioning

confidence: 99%

Self‐organised dynamic resource allocation scheme using enhanced fractional frequency reuse in long term evolution‐advanced relay‐based networks

2016

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Section: Iet Communicationsmentioning

confidence: 99%

Self‐organised dynamic resource allocation scheme using enhanced fractional frequency reuse in long term evolution‐advanced relay‐based networks

2016

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“…However, this metric does not give us an indication of impact of those users who are not in coverage on the average rate in a system. The rate metric 6 should reflect the fact that with increasing T , the number of users not in coverage also increases.…”

Section: Normalized Average Ratementioning

confidence: 99%

“…It has been shown in [14] that the optimal frequency reuse is FR3 for the cell-edge users.The distance and SINR threshold were obtained based on the maximization of the ratio of the average SINR to the variance of SINR in [12], but small scale fading was not considered in their analysis. The optimal size of centre and edge region based on the maximization of throughput is given in [8], and optimization of the size of an inner radius based on cell-edge efficiency is given in [6]. Recently, the average cell throughput in FFR system is derived in [15] as a function of the 1 Based on pre-determined distance from the BS, users are divided into cell-centre users and cell-edge users and here the design parameter is a distance threshold (R th ).…”

mentioning

confidence: 99%

Optimal Thresholds for Coverage and Rate in FFR Schemes for Planned Cellular Networks

Kumar,

Kalyani,

Giridhar

2014

Preprint

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Fractional frequency reuse (FFR) is an inter-cell interference coordination scheme that is being actively researched for emerging wireless cellular networks. In this work, we consider hexagonal tessellation based planned FFR deployments, and derive expressions for the coverage probability and normalized average rate for the downlink. In particular, given reuse 1 3 (FR3 ) and reuse 1 (FR1) regions, and a Signal-to-Interference-plus-noise-Ratio (SINR) threshold S th which decides the user assignment to either the FR1 or FR3 regions, we theoretically show that: (i) The optimal choice of S th which maximizes the coverage probability is S th = T , where T is the required target SINR (for ensuring coverage), and (ii) The optimal choice of S th which maximizes the normalized average rate is given by the expression S th = max(T, T ′ ), where T ′ is a function of the path loss exponent and the fade parameters. For the optimal choice of S th , we show that FFR gives a higher rate than FR1 and a better coverage probability than FR3. The impact of frequency correlation over the sub-bands allocated to the FR1 and FR3 regions is analysed, and it is shown that correlation decreases the average rate of the FFR network. Numerical results are provided, and these match with the analytical results.[2] is a simple ICIC scheme, and has been proposed for OFDMA based wireless networks which are based on standards such as IEEE WiMAX [3] and 3GPP LTE [4].FFR is a combination of frequency reuse 1 (FR1) and frequency reuse 1 δ (FRδ). FR1 allocates all the frequencies to each cell, leading to a high spatial reuse, but could result in a low coverage due to inter-cell interference. On the other hand, FRδ allocates 1 δ of the frequencies to each cell, and trades-off spatial reuse and rate, for higher coverage. FFR exploits the advantage of both FR1 and FRδ by using FR1 for the cell-centre users (i.e., for those users who experience less interference from other cells and/or are close to their serving base station (BS)) and FRδ for the cell-edge users (i.e., for those users who experience high interference from co-channel signals from neighbouring cells and/or are far from their serving BS). Typically, there are two modes of FFR deployment: static and dynamic FFR [1]. In this paper, we consider the more practical static FFR scheme, where all the parameters are configured and kept fixed over a certain period of time. Fig. 1 depicts a frequency allocation in the FFR scheme for three adjacent cells, where F 1 , F 2 and F 3 each use x% of the total spectrum, and F 0 uses (100 − 3x)% of the spectrum.FFR schemes have been rather well studied using both system level simulations and theoretical analysis [5]- [12]. Blocking probability of reuse partitioning based cellular system for voice traffic, assuming a TDMA system has been derived in [9]. Analysis of the theoretical capacity and outage rate of an OFDMA cellular system assuming FFR and proportional fair scheduling has been presented in [11] where the users are classified as cell-centre users and cell...

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“…The average cell throughput in FFR system is derived in [15] as a function of the distance threshold for both Round Robin (RR) and Maximum SINR (MSINR) scheduling strategies. The authors in [16] introduced an analytical optimization technique to configure FFR solution for the downlink of LTE cellular system. In [17], the authors proposed a mechanism that selects the optimal size of the inner and outer region for each cell as well as the optimal frequency allocation between these regions that either maximizes the mean user throughput or the user satisfaction.…”

Section: Introductionmentioning

confidence: 99%

Self-organized dynamic resource allocation using fraction frequency reuse scheme in long term evolution networks

Mohamed

Abd‐Elnaby

El-Dolil

2015

Computers & Electrical Engineering

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Optimal Configuration of Fractional Frequency Reuse System for LTE Cellular Networks

Cited by 7 publications

References 14 publications

Self‐organised dynamic resource allocation scheme using enhanced fractional frequency reuse in long term evolution‐advanced relay‐based networks

Self‐organised dynamic resource allocation scheme using enhanced fractional frequency reuse in long term evolution‐advanced relay‐based networks

Optimal Thresholds for Coverage and Rate in FFR Schemes for Planned Cellular Networks

Self-organized dynamic resource allocation using fraction frequency reuse scheme in long term evolution networks

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