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      Mobility-Aware Caching and Computation Offloading in 5G Ultra-Dense Cellular Networks

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          Abstract

          Recent trends show that Internet traffic is increasingly dominated by content, which is accompanied by the exponential growth of traffic. To cope with this phenomena, network caching is introduced to utilize the storage capacity of diverse network devices. In this paper, we first summarize four basic caching placement strategies, i.e., local caching, Device-to-Device (D2D) caching, Small cell Base Station (SBS) caching and Macrocell Base Station (MBS) caching. However, studies show that so far, much of the research has ignored the impact of user mobility. Therefore, taking the effect of the user mobility into consideration, we proposes a joint mobility-aware caching and SBS density placement scheme (MS caching). In addition, differences and relationships between caching and computation offloading are discussed. We present a design of a hybrid computation offloading and support it with experimental results, which demonstrate improved performance in terms of energy cost. Finally, we discuss the design of an incentive mechanism by considering network dynamics, differentiated user’s quality of experience (QoE) and the heterogeneity of mobile terminals in terms of caching and computing capabilities.

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          Most cited references 41

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          FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers

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            Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing

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              Cache in the air: exploiting content caching and delivery techniques for 5G systems

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                25 June 2016
                July 2016
                : 16
                : 7
                Affiliations
                [1 ]School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; minchen2012@ 123456hust.edu.cn (M.C.); yixuehao@ 123456hust.edu.cn (Y.H.)
                [2 ]Department of Computer Science, Pace University, New York, NY 10038, USA; mqiu@ 123456pace.edu
                [3 ]School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China; wudi27@ 123456sysu.edu.cn
                [4 ]Laboratory for Telecommunications, Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, SI-1000 Ljubljan, Slovenia; iztok.humar@ 123456fe.uni-lj.si
                Author notes
                [* ]Correspondence: jsong@ 123456hust.edu.cn ; Tel.: +86-133-4999-9917
                Article
                sensors-16-00974
                10.3390/s16070974
                4970026
                27347975
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                Categories
                Article

                Biomedical engineering

                caching, computation offloading, human mobility

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