当前位置: X-MOL 学术Comput. Environ. Urban Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The importance of spatio-temporal infrastructure assessment:Evidence for 5G from the Oxford–Cambridge Arc
Computers, Environment and Urban Systems ( IF 7.1 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.compenvurbsys.2020.101515
Edward J. Oughton , Tom Russell

Abstract The roll-out of 5G infrastructure can provide enhanced high capacity, low latency communications enabling a range of new use cases. However, to deliver the improvements 5G promises, we need to understand how to enhance capacity and coverage, at reasonable cost, across space and over time. In this paper, we take a spatio-temporal simulation modeling approach, using industry-standard engineering models of 5G wireless networks, to test how different infrastructure strategies perform under scenarios of uncertain future demand. We use coupled open-source models to analyze a UK growth corridor, a system-of-cities comprising 7 urban areas, known as the Oxford-Cambridge Arc. We find that population growth has a marginal impact on total demand for 5G (up to 15%), as the main factor driving demand is the increase in per user data consumption resulting mainly from video. Additionally, the results suggest only limited justification for deploying 5G based purely on the need for more capacity. Strategies which reuse existing brownfield Macro Cell sites are enough to meet future demand for Enhanced Mobile Broadband, except in the densest urban areas. While spatio-temporal analysis of infrastructure is common in some sectors (e.g. transport, energy and water), there has been a lack of open analysis of digital infrastructure. This study makes a novel contribution by providing an open and reproducible spatio-temporal assessment of different 5G technologies at a time when 5G is starting to roll-out around the world.

中文翻译:

时空基础设施评估的重要性:来自牛津剑桥弧的 5G 证据

摘要 5G 基础设施的推出可以提供增强的高容量、低延迟通信,从而实现一系列新用例。然而,为了实现 5G 承诺的改进,我们需要了解如何以合理的成本、跨空间和随着时间的推移增强容量和覆盖范围。在本文中,我们采用时空模拟建模方法,使用 5G 无线网络的行业标准工程模型,测试不同基础设施策略在未来需求不确定的情况下的表现。我们使用耦合的开源模型来分析英国的增长走廊,这是一个由 7 个城市地区组成的城市系统,称为牛津-剑桥弧。我们发现人口增长对 5G 总需求的影响很小(高达 15%),推动需求的主要因素是主要来自视频的每个用户数据消耗的增加。此外,结果表明仅基于对更多容量的需求来部署 5G 的理由有限。重用现有棕地宏蜂窝站点的策略足以满足未来对增强型移动宽带的需求,除了最密集的城市地区。虽然基础设施的时空分析在某些部门(例如交通、能源和水)很常见,但缺乏对数字基础设施的开放分析。在 5G 开始在全球范围内推出之际,这项研究通过提供对不同 5G 技术的开放且可重复的时空评估做出了新的贡献。结果表明,仅仅基于对更多容量的需求来部署 5G 的理由有限。重用现有棕地宏蜂窝站点的策略足以满足未来对增强型移动宽带的需求,除了最密集的城市地区。虽然基础设施的时空分析在某些部门(例如交通、能源和水)很常见,但缺乏对数字基础设施的开放分析。在 5G 开始在全球范围内推出之际,这项研究通过提供对不同 5G 技术的开放且可重复的时空评估做出了新的贡献。结果表明,仅仅基于对更多容量的需求来部署 5G 的理由有限。重用现有棕地宏蜂窝站点的策略足以满足未来对增强型移动宽带的需求,除了最密集的城市地区。虽然基础设施的时空分析在某些部门(例如交通、能源和水)很常见,但缺乏对数字基础设施的开放分析。在 5G 开始在全球范围内推出之际,这项研究通过提供对不同 5G 技术的开放且可重复的时空评估做出了新的贡献。虽然基础设施的时空分析在某些部门(例如交通、能源和水)很常见,但缺乏对数字基础设施的开放分析。在 5G 开始在全球范围内推出之际,这项研究通过提供对不同 5G 技术的开放且可重复的时空评估做出了新的贡献。虽然基础设施的时空分析在某些部门(例如交通、能源和水)很常见,但缺乏对数字基础设施的开放分析。在 5G 开始在全球范围内推出之际,这项研究通过提供对不同 5G 技术的开放且可重复的时空评估做出了新的贡献。
更新日期:2020-09-01
down
wechat
bug