In order to make Internet connections ubiquitous and autonomous in our daily lives, maximizing the\udutilization of radio resources and social information is one of the major research topics in future mobile\udcommunication technologies. Fog radio access network (FRAN) is regarded as a promising paradigm\udfor the fifth generation (5G) of mobile networks. FRAN integrates fog computing with RAN and makes\udfull use of the edge of networks. FRAN would be different in networking, computing, storage and\udcontrol as compared with conventional radio access networks (RAN) and the emerging cloud RAN.\udIn this article, we provide a description of the FRAN architecture, and discuss how the distinctive\udcharacteristics of FRAN make it possible to efficiently alleviate the burden on the fronthaul, backhaul\udand backbone networks, as well as reduce content delivery latencies. We will focus on the mobility management, interference mitigation, and resource optimization in FRAN. Our simulation results show\udthat the proposed FRAN architecture and the associated mobility and resource management mechanisms\udcan reduce the signaling cost and increase the net utility for the RAN.\ud\ud
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机译:为了使Internet连接在我们的日常生活中无处不在和自治,最大限度地利用无线资源和社会信息是未来移动通信通信技术的主要研究主题之一。雾无线电接入网(FRAN)被认为是第五代(5G)移动网络的有希望的范例。 FRAN将雾计算与RAN集成在一起,充分利用了网络边缘。与传统的无线访问网络(RAN)和新兴的云RAN相比,FRAN在网络,计算,存储和\ udcontrol方面将有所不同。\ ud本文将对FRAN架构进行描述,并讨论其独特的\ udcharacteristics FRAN的改进使有效减轻前传,回传\ udand骨干网的负担,并减少内容交付延迟成为可能。我们将专注于FRAN中的移动性管理,干扰缓解和资源优化。我们的仿真结果表明,\ ud提出的FRAN体系结构以及相关的移动性和资源管理机制\ ud可以降低信令成本,并增加RAN的净效用。\ ud \ ud
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