论文标题

通过智能空间,空气和地面网络弥合城乡农村连通性差距

Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks

论文作者

Fourati, Fares, Alsamhi, Saeed Hamood, Alouini, Mohamed-Slim

论文摘要

农村地区的连通性是通信网络的主要挑战之一。为了克服这一挑战,需要针对不同情况的各种解决方案。因此,优化当前的网络范例是必须的。与城市地区相比,基础设施的高成本和农村地区的细胞站点的低成本对于电信运营商而言尤为没有吸引力。因此,应优化空间,空气和地面网络,以实现农村地区的连通性。我们重点介绍了有关农村连通性的最新作品,讨论了陆地网络的解决方案,并研究了非事务网络的潜在好处。此外,我们介绍了改善空间,空气和地面网络的人工智能(AI)技术的概述,从而改善了农村地区的连通性。 AI可以实现智能通信,并可以集成农村连接的空间,空气和地面网络。我们讨论了农村的连通性挑战,并强调了使用AI的最新项目和研究以及网络的授权。最后,我们讨论了向农村社区提供连通性的潜在积极影响。

Connectivity in rural areas is one of the main challenges of communication networks. To overcome this challenge, a variety of solutions for different situations are required. Optimizing the current networking paradigms is therefore mandatory. The high costs of infrastructure and the low revenue of cell sites in rural areas compared with urban areas are especially unattractive for telecommunication operators. Therefore, space, air, and ground networks should all be optimized for achieving connectivity in rural areas. We highlight the latest works on rural connectivity, discuss the solutions for terrestrial networks, and study the potential benefits of nonterrestrial networks. Furthermore, we present an overview of artificial intelligence (AI) techniques for improving space, air, and ground networks, hence improving connectivity in rural areas. AI enables intelligent communications and can integrate space, air, and ground networks for rural connectivity. We discuss the rural connectivity challenges and highlight the latest projects and research and the empowerment of networks using AI. Finally, we discuss the potential positive impacts of providing connectivity to rural communities.

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