Fog-computing-based radio access networks: issues and challenges

By Mugen Peng, Shi Yan, Kecheng Zhang, Chonggang Wang. IEEE Network, 2015

630 citations recorded by the source corpus.

An F-RAN is presented in this article as a promising paradigm for the fifth generation wireless communication system to provide high spectral and energy efficiency. The core idea is to take full advantage of local radio signal processing, cooperative radio resource management, and distributed storing capabilities in edge devices, which can decrease the heavy burden on fronthaul and avoid large-scale radio signal processing in the centralized baseband unit pool. This article comprehensively presents the system architecture and key techniques of F-RANs. In particular, key techniques and their corresponding solutions, including transmission mode selection and interference suppression, are discussed. Open issues in terms of edge caching, software-defined networking, and network function virtualization are also identified.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/70243021f90294acc659d0819f41045a6735deb5

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study (2017, background): “, WiFi-based single-hop TCP/IP transport-layer connections) for the support of delay and delay-jitter sensitive applications, like video streaming [39], [40], [41]; • Pervasive spatial deployment – FNs support distributed applications, which demand for wide spatial deployments, like Wireless Sensor ”
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues (2018, background): “siderable increase in data rates, coverage and the number of connected devices with latency and energy consumption significantly reduced [2], [3], [4], [5].”
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, background): “Several surveys have also been published on fog computing at large [4], [19], [20] and also in the context of speciﬁc application domains, i.e., vehicular Ad-hoc NETworks (VANETs) [21], Radio Access Networks (RAN) [22], [23], and Internet of Things [24].”
An Amateur Drone Surveillance System Based on the Cognitive Internet of Things (2017, background): “According to [10], fog computing is a term for an alternative to cloud computing that puts a substantial amount of storage, communication, control, configuration, measurement and management at the edge of a network, rather than establishing channels for the centralized cloud storage and utilization,”
A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms (2019, background): “SBSs with limited storage capability are more close to users in comparison with MBSs, which will be densely deployed in 5G networks [114].”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “F-RAN is proposed for 5G MEC deployments as an advanced socially aware mobile networking architecture to provide high spectral efficiency while maintaining high energy efficiency and low latency [106], [107].”
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence (2019, neutral): “mode selection and interference suppression [13].”
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, background): “Together with other edge computing paradigms, such as cloudlets [123] and fog computing [124], [125], MEC can be regarded as a bridge between numerous IoT devices and the centralized cloud.”
Security and Privacy in Fog Computing: Challenges (2017, background): “For example, in fog computing-based radio access networks (F-RANs) [36], which is adaptive to the dynamic traffic and radio environment, how to achieve scalable, authentication and billing in the context of F-RANs is one of the most important issues.”
5G Key Technologies for Smart Railways (2020, methodology): “To mitigate the shortcomings of C-RAN and H-CRAN, Peng et al. [32] proposed the F-RAN architecture.”
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, background): “A new RAN architecture is suggested in [79] and [80] to combine the advantages of”
Fog Computing: A Taxonomy, Survey and Future Directions (2016, background): “[38]) new network structures of Fog computing have been proposed to enable SDN and NFV.”
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, methodology): “The cloud receives data summaries from various fog nodes, and performs global analysis on the data submitted by fog nodes and the data from other sources to improve business insight in IoT applications [8], such as smart power distribution [54], health status monitoring [33] and network resource opt”
Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends (2020, background): “As introduced in [1], a fog computing is constituted of the fog-computing access points (F-APs) and the users, where the local signal processing and the network management functions can be implemented.”