Spectral efficiency analysis of subcarrier and link incorporation for optimizing the resource allocation in 4G LTE cellular systems

S. Karthika, P. Indumathi
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引用次数: 2

Abstract

Neighbouring cells deteriorates the performance of Orthogonal Frequency Division Multiplexing Access (OFDMA) cellular networks particularly for edge users due to Inter Cell Interference (ICI). In this paper, subcarrier integration with suitable links is proposed for minimizing ICI after Self Organized Resource Allocation (SORA) and Link Grouping Algorithm (LGA) is used to selects the satisfactory links between the terminals i.e. eNodes (eNB) and User Equipments (UEs). In this paper, Subcarrier Grouping Algorithm (SGA) is used to choose the best available resources to the selected links and Particle Swarm Optimization (PSO) is used to find the best incorporation of Subcarriers — Link from the results of grouping algorithm. The combination of SGA and LGA without consideration of any optimization techniques is referred as Subcarrier-Link Grouping Resource allocation (SLGRA) algorithm. Proposed algorithm is compared with existing methods such as Low Interference Subcarrier Allocation (LISA) and Greedy Subcarrier Allocation (GSA). SLGRA with optimization technique is referred as Subcarrier Link Integration Optimized Resource Allocation (SLIORA). Improvement of proposed method is calculated in terms of percentage for scenarios with different user densities.
用于优化4G LTE蜂窝系统中资源分配的子载波和链路合并频谱效率分析
由于小区间干扰(ICI),相邻小区恶化了正交频分复用接入(OFDMA)蜂窝网络的性能,特别是对于边缘用户。本文提出在自组织资源分配(SORA)和链路分组算法(LGA)的基础上,通过适当的链路进行子载波集成以最小化ICI,并在终端(endes (eNB))和用户设备(ue)之间选择满意的链路。本文使用子载波分组算法(SGA)为所选链路选择最佳可用资源,并使用粒子群算法(PSO)从分组算法的结果中寻找子载波-链路的最佳组合。将SGA和LGA结合起来,不考虑任何优化技术,称为子载波链路分组资源分配(SLGRA)算法。对现有的低干扰子载波分配方法(LISA)和贪心子载波分配方法(GSA)进行了比较。带优化技术的SLGRA被称为子载波链路集成优化资源分配(SLIORA)。在不同用户密度的情况下,以百分比计算了所提方法的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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