A Cognitive Opportunistic Fractional Frequency Reuse Scheme for OFDMA Uplinks

S. Boddu, Venkata Sudhakar Reddy Bandi
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Abstract

Inter Cell Interference (ICI) is an important issue to address in 4G Orthogonal Frequency Division Multiple Access (OFDMA) and beyond networks since it limits capacity. Fractional Frequency Reuse (FFR) scheme is one of the schemes suggested in the literature to mitigate ICI. However, it is important that the schemes should adapt to changing traffic load, otherwise, this will lead to spectrum underutilization and spectrum scarcity problems in cellular networks. We propose the cognitive based FFR for uplink that uses spectrum opportunistically. The proposed scheme allows the base stations to take the decisions autonomously while allocating spectrum to cell edge users hence the cell edge performance is improved. From the results, it is seen that the proposed scheme increases the spectral efficiency and blocking probability performance of cell edge users when compared against the existing FFR scheme for both realistic (irregular) and unrealistic (regular) cellular layouts.
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OFDMA上行链路的认知机会分数频率复用方案
小区间干扰(ICI)是4G正交频分多址(OFDMA)及其他网络中需要解决的重要问题,因为它限制了网络容量。分数频率复用(FFR)方案是文献中提出的缓解ICI的方案之一。然而,重要的是,该方案应适应不断变化的业务负载,否则将导致蜂窝网络频谱利用不足和频谱稀缺问题。提出了一种基于认知的频谱随机化上行FFR算法。该方案允许基站在向小区边缘用户分配频谱时自主决策,从而提高了小区边缘性能。从结果中可以看出,与现有的FFR方案相比,该方案在现实(不规则)和不现实(规则)蜂窝布局下都提高了蜂窝边缘用户的频谱效率和阻塞概率性能。
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Determining the Generalized Hamming Weight Hierarchy of the Binary Projective Reed-Muller Code A Cognitive Opportunistic Fractional Frequency Reuse Scheme for OFDMA Uplinks Caching Policies for Transient Data Grouping Subarray for Robust Estimation of Direction of Arrival Universal Compression of a Piecewise Stationary Source Through Sequential Change Detection
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