665 research outputs found
How Much Can D2D Communication Reduce Content Delivery Latency in Fog Networks with Edge Caching?
A Fog-Radio Access Network (F-RAN) is studied in which cache-enabled Edge
Nodes (ENs) with dedicated fronthaul connections to the cloud aim at delivering
contents to mobile users. Using an information-theoretic approach, this work
tackles the problem of quantifying the potential latency reduction that can be
obtained by enabling Device-to-Device (D2D) communication over out-of-band
broadcast links. Following prior work, the Normalized Delivery Time (NDT) --- a
metric that captures the high signal-to-noise ratio worst-case latency --- is
adopted as the performance criterion of interest. Joint edge caching, downlink
transmission, and D2D communication policies based on compress-and-forward are
proposed that are shown to be information-theoretically optimal to within a
constant multiplicative factor of two for all values of the problem parameters,
and to achieve the minimum NDT for a number of special cases. The analysis
provides insights on the role of D2D cooperation in improving the delivery
latency.Comment: Submitted to the IEEE Transactions on Communication
Fog Radio Access Networks: Mobility management, interference mitigation and resource optimization
In order to make Internet connections ubiquitous and autonomous in our daily lives, maximizing the
utilization of radio resources and social information is one of the major research topics in future mobile
communication technologies. Fog radio access network (FRAN) is regarded as a promising paradigm
for the fifth generation (5G) of mobile networks. FRAN integrates fog computing with RAN and makes
full use of the edge of networks. FRAN would be different in networking, computing, storage and
control as compared with conventional radio access networks (RAN) and the emerging cloud RAN.
In this article, we provide a description of the FRAN architecture, and discuss how the distinctive
characteristics of FRAN make it possible to efficiently alleviate the burden on the fronthaul, backhaul
and 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
that the proposed FRAN architecture and the associated mobility and resource management mechanisms
can reduce the signaling cost and increase the net utility for the RAN
Joint content placement and storage allocation based on federated learning in F-RANs
Funding: This work was supported in part by Innovation Project of the Common Key Technology of Chongqing Science and Technology Industry (cstc2018jcyjAX0383), the special fund of Chongqing key laboratory (CSTC), and the Funding of CQUPT (A2016-83, GJJY19-2-23, A2020-270).Peer reviewedPublisher PD
5G Outlook ā Innovations and Applications
5G Outlook - Innovations and Applications is a collection of the recent research and development in the area of the Fifth Generation Mobile Technology (5G), the future of wireless communications. Plenty of novel ideas and knowledge of the 5G are presented in this book as well as divers applications from health science to business modeling. The authors of different chapters contributed from various countries and organizations. The chapters have also been presented at the 5th IEEE 5G Summit held in Aalborg on July 1, 2016. The book starts with a comprehensive introduction on 5G and its need and requirement. Then millimeter waves as a promising spectrum to 5G technology is discussed. The book continues with the novel and inspiring ideas for the future wireless communication usage and network. Further, some technical issues in signal processing and network design for 5G are presented. Finally, the book ends up with different applications of 5G in distinct areas. Topics widely covered in this book are: ā¢ 5G technology from past to present to the futureā¢ Millimeter- waves and their characteristicsā¢ Signal processing and network design issues for 5Gā¢ Applications, business modeling and several novel ideas for the future of 5
Simulating fog and edge computing scenarios: an overview and research challenges
The fourth industrial revolution heralds a paradigm shift in how people, processes, things, data and networks communicate and connect with each other. Conventional computing infrastructures are struggling to satisfy dramatic growth in demand from a deluge of connected heterogeneous endpoints located at the edge of networks while, at the same time, meeting quality of service levels. The complexity of computing at the edge makes it increasingly difficult for infrastructure providers to plan for and provision resources to meet this demand. While simulation frameworks are used extensively in the modelling of cloud computing environments in order to test and validate technical solutions, they are at a nascent stage of development and adoption for fog and edge computing. This paper provides an overview of challenges posed by fog and edge computing in relation to simulation
Game theory for cooperation in multi-access edge computing
Cooperative strategies amongst network players can improve network performance and spectrum utilization in future networking environments. Game Theory is very suitable for these emerging scenarios, since it models high-complex interactions among distributed decision makers. It also finds the more convenient management policies for the diverse players (e.g., content providers, cloud providers, edge providers, brokers, network providers, or users). These management policies optimize the performance of the overall network infrastructure with a fair utilization of their resources. This chapter discusses relevant theoretical models that enable cooperation amongst the players in distinct ways through, namely, pricing or reputation. In addition, the authors highlight open problems, such as the lack of proper models for dynamic and incomplete information scenarios. These upcoming scenarios are associated to computing and storage at the network edge, as well as, the deployment of large-scale IoT systems. The chapter finalizes by discussing a business model for future networks.info:eu-repo/semantics/acceptedVersio
Information-Theoretic Analysis of D2D-Aided Pipelined Content Delivery in Fog-RAN
In a Fog-Radio Access Network (F-RAN), edge caching and fronthaul
connectivity to a cloud processor are utilized for the purpose of content
delivery. Additional Device-to-Device (D2D) communication capabilities can
support the operation of an F-RAN by alleviating fronthaul and cloud processing
load, and reducing the delivery time. In this work, basic limits on the
normalized delivery time (NDT) metric, which captures the high signal-to-noise
ratio worst-case latency for delivering any requested content to the users, are
derived. Assuming proactive offline caching, out-of-band D2D communication, and
an F-RAN with two edge nodes and two users, an information-theoretically
optimal caching and delivery strategy is presented. Unlike prior work, the NDT
performance is studied under pipelined transmission, whereby the edge nodes
transmit on the wireless channel while simultaneously receiving messages over
the fronthaul links, and the users transmit messages over the D2D links while
at the same time receiving on the wireless channel. Insights are provided on
the regimes in which D2D communication is beneficial, and the maximum
improvement to the latency is characterized.Comment: This work was presented at 2018 15th International Symposium on
Wireless Communication Systems (ISWCS). arXiv admin note: text overlap with
arXiv:1904.01256, arXiv:1801.0075
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