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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Bandwidth Partitioning and SINR Threshold Analysis of Fractional Frequency Reuse in OFDMA Cellular Networks for Real Time and Best Effort Traffic
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Bandwidth Partitioning and SINR Threshold Analysis of Fractional Frequency Reuse in OFDMA Cellular Networks for Real Time and Best Effort Traffic

机译:OFDMA蜂窝网络中实时和尽力而为流量的小数频率复用的带宽划分和SINR阈值分析

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摘要

To achieve high capacity in cellular networks, frequency reuse factor of unity is used. However, it suffers from heavy co-channel interference at cell edge regions. This leads to poor Signal to Interference plus Noise Ratio (SINR) and hence poor performance. fractional frequency reuse (FFR) is one of the methods being considered to improve cell edge performance. In this work we present the impact of SINR threshold and bandwidth partitioning on the successful deployment of FFR scheme. We have considered both real time (RT) and best effort (BE) traffic. In FFR, the total frequency resource is divided logically into cell center and cell edge user bands. However, while frequency resource is partitioned into two segments, the amount of bandwidth required by cell center and cell edge users is quite different and influences the system performance. We developed the semi analytical approach to evaluate the average bandwidth required by cell center and edge band users. From the analysis and simulation results it is seen that while grade of service (GoS) fair based method of choosing bandwidth partitioning ratio is best for RT traffic, while the only feasible method for BE traffic is dividing the bandwidth based on probability of a user to be in a given band which we termed as 'Probability' method.
机译:为了在蜂窝网络中实现高容量,使用了频率复用因子为1。但是,它在小区边缘区域遭受严重的同信道干扰。这导致较差的信号干扰加噪声比(SINR),从而导致较差的性能。分数频率复用(FFR)是被认为可以改善小区边缘性能的方法之一。在这项工作中,我们介绍了SINR阈值和带宽划分对FFR方案成功部署的影响。我们已经考虑了实时(RT)和尽力而为(BE)流量。在FFR中,总频率资源在逻辑上分为小区中心和小区边缘用户频段。但是,虽然频率资源被分为两个部分,但是小区中心和小区边缘用户所需的带宽量却大不相同,并且会影响系统性能。我们开发了半分析方法来评估小区中心和边缘频段用户所需的平均带宽。从分析和仿真结果可以看出,虽然基于服务等级(GoS)公平的带宽分配比率选择方法最适合RT流量,而BE流量唯一可行的方法是根据用户的概率将带宽划分为在给定的范围内,我们称之为“概率”方法。

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