Researchers from Intel Corporation Report Recent Findings in Information Theory (Fog-Aided Wireless Networks for Content Delivery: Fundamental Latency Tradeoffs)
By a News Reporter-Staff News Editor at Telecommunications Weekly -- Data detailed on Information Technology - Information Theory have been presented. According to news reporting out of Santa Clara, California, by VerticalNews editors, research stated, "A fog-aided wireless network architecture is studied in which edge nodes (ENs), such as base stations, are connected to a cloud processor via dedicated fronthaul links while also being endowed with caches. Cloud processing enables the centralized implementation of cooperative transmission strategies at the ENs, albeit at the cost of an increased latency due to fronthaul transfer."
Financial supporters for this research include European Research Council under the European Unions Horizon 2020 Research and Innovation Programme, U.S. NSF.
Our news journalists obtained a quote from the research from Intel Corporation, "In contrast, the proactive caching of popular content at the ENs allows for the low-latency delivery of the cached files, but with generally limited opportunities for cooperative transmission among the ENs. The interplay between cloud processing and edge caching is addressed from an information-theoretic viewpoint by investigating the fundamental limits of a high signal-to-noise-ratio metric, termed normalized delivery time (NDT), which captures the worst case coding latency for delivering any requested content to the users. The NDT is defined under the assumptions of either serial or pipelined fronthaul-edge transmission, and is studied as a function of fronthaul and cache capacity constraints. Placement and delivery strategies across both fronthaul and wireless, or edge, segments are proposed with the aim of minimizing the NDT. Information-theoretic lower bounds on the NDT are also derived."
According to the news editors, the research concluded: "Achievability arguments and lower bounds are leveraged to characterize the minimal NDT in a number of important special cases, including systems with no caching capabilities, as well as to prove that the proposed schemes achieve optimality within a constant multiplicative factor of 2 for all values of the problem parameters."
For more information on this research see: Fog-Aided Wireless Networks for Content Delivery: Fundamental Latency Tradeoffs. IEEE Transactions on Information Theory, 2017;63(10):6650-6678. IEEE Transactions on Information Theory can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Transactions on Information Theory - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=18)
Our news journalists report that additional information may be obtained by contacting A. Sengupta, Intel Corp, Next Generat & Stand Grp, Santa Clara, CA 95054, United States. Additional authors for this research include R. Tandon and O. Simeone.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TIT.2017.2735962. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
Keywords for this news article include: Santa Clara, California, United States, North and Central America, Information Theory, Information Technology, Wireless Technology, Wireless Network, Networks, Intel Corporation.
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