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5G 网络的资源分配方案:系统评价。

Resource Allocation Schemes for 5G Network: A Systematic Review.

机构信息

Malaysian Institute of Information Technology (MIIT), Universiti Kuala Lumpur, Kuala Lumpur 50250, Malaysia.

Institute of Business and Management, Karachi 75190, Pakistan.

出版信息

Sensors (Basel). 2021 Oct 2;21(19):6588. doi: 10.3390/s21196588.

DOI:10.3390/s21196588
PMID:34640908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8512213/
Abstract

Fifth-generation (5G) communication technology is intended to offer higher data rates, outstanding user exposure, lower power consumption, and extremely short latency. Such cellular networks will implement a diverse multi-layer model comprising device-to-device networks, macro-cells, and different categories of small cells to assist customers with desired quality-of-service (QoS). This multi-layer model affects several studies that confront utilizing interference management and resource allocation in 5G networks. With the growing need for cellular service and the limited resources to provide it, capably handling network traffic and operation has become a problem of resource distribution. One of the utmost serious problems is to alleviate the jamming in the network in support of having a better QoS. However, although a limited number of review papers have been written on resource distribution, no review papers have been written specifically on 5G resource allocation. Hence, this article analyzes the issue of resource allocation by classifying the various resource allocation schemes in 5G that have been reported in the literature and assessing their ability to enhance service quality. This survey bases its discussion on the metrics that are used to evaluate network performance. After consideration of the current evidence on resource allocation methods in 5G, the review hopes to empower scholars by suggesting future research areas on which to focus.

摘要

第五代(5G)通信技术旨在提供更高的数据速率、卓越的用户体验、更低的功耗和极短的延迟。这样的蜂窝网络将实施一个多样化的多层模型,包括设备到设备网络、宏小区和不同类别的小小区,以帮助客户获得所需的服务质量(QoS)。这种多层模型影响了许多研究,这些研究都在应对 5G 网络中的干扰管理和资源分配问题。随着对蜂窝服务需求的不断增长和提供服务的有限资源,能够有效地处理网络流量和运营已成为资源分配的问题。其中最严重的问题之一是减轻网络中的干扰,以支持更好的 QoS。然而,尽管已经有少量关于资源分配的综述论文,但没有专门针对 5G 资源分配的综述论文。因此,本文通过对文献中报道的各种 5G 资源分配方案进行分类,并评估它们提高服务质量的能力,来分析资源分配问题。该调查基于用于评估网络性能的指标展开讨论。在考虑了 5G 中资源分配方法的现有证据后,该综述希望通过提出未来研究重点领域,为学者提供帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/f8666389909f/sensors-21-06588-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/b89afdcb8c02/sensors-21-06588-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/74c67c887d7f/sensors-21-06588-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/40245cfd8aee/sensors-21-06588-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/ee626d60135c/sensors-21-06588-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/374b888fc126/sensors-21-06588-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/f8666389909f/sensors-21-06588-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/b89afdcb8c02/sensors-21-06588-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/3cb8c257b6bd/sensors-21-06588-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/29b715c7ccd0/sensors-21-06588-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/160089563917/sensors-21-06588-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/af75fbc49be8/sensors-21-06588-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/74c67c887d7f/sensors-21-06588-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/40245cfd8aee/sensors-21-06588-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/ee626d60135c/sensors-21-06588-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/374b888fc126/sensors-21-06588-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e9/8512213/f8666389909f/sensors-21-06588-g010.jpg

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