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MOBILITY AND CONTENT TRADING IN DEVICE-TO-DEVICE CACHING NETWORKS

Hosny, Sameh Shawky Ibrahim
http://orcid.org/0000-0002-1672-7250
http://rave.ohiolink.edu/etdc/view?acc_num=osu1480629254438794

Abstract Details

2016, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
The mismatch between user demand and service supply creates a congestion in mobile wireless networks. The literature has a strong evidence that user behavior is highly predictable. Service Providers (SPs) can track, learn and predict user demand and mobility patterns. Taking advantage of user demand predictability allows SPs to smooth out the network load. Caching some of the data items in the off-peak times shifts some of the network load and reduces the incurred service cost. Moreover, the Device-to-Device (D2D) communication allows users to share their proactive downloads with other users in their neighborhood. Therefore, users find their request either in their local cache or with other users around them. Nevertheless, harnessing the information about user mobility enhances SP's caching decisions and reduces the incurred service cost. The information about users trajectories allows the SP to predict their presence in some popular locations, which experience high demand levels. Finding an optimal caching strategy alleviates the network congestion in these locations and improves the network performance. This dissertation introduces a study to extend the capabilities of D2D caching networks and investigates how to enhance its performance. The research consists of three main directions: (1) exploiting user behavior predictability to smooth out the network load, (2) leveraging the relations between users to introduce a content trading marketplace, and (3) leveraging the information about user mobility to enhance the caching strategy. We start by investigating how to exploit the user behavior predictability to cache some data contents during off-peak times for a future possible request during peak times. This part of the research creates a benchmark that allows us to evaluate the performance of the proposed models. We compare the gains achieved by this proactive caching scheme with the flat pricing scenario. The gains achieved later, by content trading and mobility-aware D2D caching networks, are compared with the gains of this proactive caching scheme. Further, we highlight how to leverage the relations between users demand to introduce another benefit of the cached data items. Predicting users requests for peak times, correlated with the SP smart pricing, guides them to proactively cache some data contents during off-peak times. Moreover, users are equipped with D2D communication and SP helps them by announcing some anonymous information about users demand. This motivates the SP to hold a marketplace where users can trade their proactive downloads. Remarkably, we show that an appropriate manipulation of this marketplace allows the SP to maximize its profit, while users minimize their payments, and an equilibrium can be attained. Our research plan extends to shed light on the impact of user mobility on the caching decision. We consider both centralized and decentralized caching schemes. Users carry cached data while they are moving and share it at the popular locations using the D2D communication. Most of the users demand are served through the D2D communication which alleviates the network congestion in these locations. This model allows users to minimize their payment while the SP minimizes the incurred service cost and hence achieves a higher profit.
Hesham ElGamal (Advisor)
Atilla Eryilmaz (Advisor)
Yuejie Chi (Committee Member)
Jian Tan (Committee Member)
130 p.
Electrical Engineering
Proactive Caching, Mobility, Content Trading, Game Theory, Optimization Theory, Wireless Networks

Recommended Citations

Citations

  • Hosny, S. S. I. (2016). MOBILITY AND CONTENT TRADING IN DEVICE-TO-DEVICE CACHING NETWORKS [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480629254438794

    APA Style (7th edition)

  • Hosny, Sameh. MOBILITY AND CONTENT TRADING IN DEVICE-TO-DEVICE CACHING NETWORKS. 2016. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1480629254438794.

    MLA Style (8th edition)

  • Hosny, Sameh. "MOBILITY AND CONTENT TRADING IN DEVICE-TO-DEVICE CACHING NETWORKS." Doctoral dissertation, Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480629254438794

    Chicago Manual of Style (17th edition)

osu1480629254438794
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© 2016, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.