Resource management optimisation of OFDM-IDMA system for 5G multi-tier backhaul networks

IF 4.3 3区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Altaf Osman Mulani , Nilima S. Warade , Osamah Ibrahim Khalaf , Qusay Bsoul , Dattatray Waghole , Makarand Jadhav , Vaishali Satish Jadhav , Akram Bennour , Firas Zawaideh , Deema Mohammed Alsekait , Diaa Salama AbdElminaam
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引用次数: 0

Abstract

In anticipation of 5G, there has been a surge in demand lately for the quickest wireless networks. Radio interference and resource control are the primary problems in heterogeneous and multi-tier 5G networks. The capacity of a 5G network has been enhanced by the suggested resource and interference control technique. The QPSK modulation technique is used in the simulation on a MIMO channel. In addition to achieving the maximum system throughput, the suggested power control and joint distributed cell association approach lowered energy usage, delayed traffic, and latency.
Furthermore, a reduced signal-to-interference ratio is necessary for high-priority consumers. Comparing the simulation results to the current resource-aware and distance-aware approaches, it is evident that an improvement in total data rate performance is achieved. As a result, the suggested strategy may effectively manage radio resources for 5G networks. Ultimately, there is a 35 % increase in QoS performance in terms of throughput, a 32 % reduction in delay, and a 28 % reduction in jitter.
5G多层回程网络OFDM-IDMA系统资源管理优化
在对5G的预期中,最近对最快无线网络的需求激增。无线干扰和资源控制是异构、多层5G网络的主要问题。通过建议的资源和干扰控制技术,5G网络的容量得到了增强。在MIMO信道仿真中采用了QPSK调制技术。除了实现最大的系统吞吐量外,建议的功率控制和联合分布式单元关联方法还降低了能源使用、延迟流量和延迟。此外,对于高优先级用户来说,降低信干扰比是必要的。将仿真结果与当前的资源感知和距离感知方法进行比较,可以明显地看出总数据速率性能得到了改善。因此,建议的策略可以有效地管理5G网络的无线电资源。最终,就吞吐量而言,QoS性能提高了35%,延迟减少了32%,抖动减少了28%。
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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来源期刊
Egyptian Informatics Journal
Egyptian Informatics Journal Decision Sciences-Management Science and Operations Research
CiteScore
11.10
自引率
1.90%
发文量
59
审稿时长
110 days
期刊介绍: The Egyptian Informatics Journal is published by the Faculty of Computers and Artificial Intelligence, Cairo University. This Journal provides a forum for the state-of-the-art research and development in the fields of computing, including computer sciences, information technologies, information systems, operations research and decision support. Innovative and not-previously-published work in subjects covered by the Journal is encouraged to be submitted, whether from academic, research or commercial sources.
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