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      D2D-Enabled Small Cell Network Control Scheme Based on the Dynamic Stackelberg Game

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      Mobile Information Systems
      Hindawi Limited

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          Abstract

          For current and future cellular networks, small cell structure with licensed and unlicensed bandwidth, caching content provisioning, and device-to-device (D2D) communications is seen as a necessary architecture. Recently, a series of control methods have been developed to address a myriad of challenges in next-generation small cell networks. In this study, we focus on the design of novel D2D-enabled small cell network control scheme by allowing caching and unlicensed D2D communications. Motivated by game theory and learning algorithm, the proposed scheme adaptively selects caching contents and splits the available bandwidth for licensed and unlicensed communications. Under dynamically changing network environments, we capture the dynamics of the network system and design a new dynamic Stackelberg game model. Based on a hierarchical and feedback based control manner, small base stations and users can be leaders or followers dynamically while improving 5G network performance. Simulations and performance analysis verify the efficiency of the proposed scheme, showing that our approach can outperform existing schemes by about 5% ~ 15% in terms of bandwidth utilization, cache hit ratio, and system throughput.

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          Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks

          This article explores one of the key enablers of beyond \(4\)G wireless networks leveraging small cell network deployments, namely proactive caching. Endowed with predictive capabilities and harnessing recent developments in storage, context-awareness and social networks, peak traffic demands can be substantially reduced by proactively serving predictable user demands, via caching at base stations and users' devices. In order to show the effectiveness of proactive caching, we examine two case studies which exploit the spatial and social structure of the network, where proactive caching plays a crucial role. Firstly, in order to alleviate backhaul congestion, we propose a mechanism whereby files are proactively cached during off-peak demands based on file popularity and correlations among users and files patterns. Secondly, leveraging social networks and device-to-device (D2D) communications, we propose a procedure that exploits the social structure of the network by predicting the set of influential users to (proactively) cache strategic contents and disseminate them to their social ties via D2D communications. Exploiting this proactive caching paradigm, numerical results show that important gains can be obtained for each case study, with backhaul savings and a higher ratio of satisfied users of up to \(22\%\) and \(26\%\), respectively. Higher gains can be further obtained by increasing the storage capability at the network edge.
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            Energy-Efficient Matching for Resource Allocation in D2D Enabled Cellular Networks

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              Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks

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                Author and article information

                Journal
                Mobile Information Systems
                Mobile Information Systems
                Hindawi Limited
                1574-017X
                1875-905X
                December 06 2017
                December 06 2017
                : 2017
                : 1-11
                Affiliations
                [1 ]Department of Computer Science, Sogang University, 35 Baekbeom-ro (Sinsu-dong), Mapo-gu, Seoul 121-742, Republic of Korea
                Article
                10.1155/2017/7965767
                07be4efb-98e4-4a25-91c8-f935ab92b5da
                © 2017

                http://creativecommons.org/licenses/by/4.0/

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