Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

Chen, Mingzhe; Mozaffari, Mohammad; Saad, Walid; Yin, Changchuan; Debbah, Mérouane; Hong, Choong Seon

doi:10.1109/jsac.2017.2680898

Cited by 736 publications

(466 citation statements)

References 36 publications

(71 reference statements)

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“…The value of content popularity can be obtained by the keywords feature extraction method [20], [21] or the machine learning method [22], [23] according to the users' download history.…”

Section: B User's Association and Content Popularitymentioning

confidence: 99%

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

Shang

Zhao

Chen

et al. 2018

IEEE Trans. Wireless Commun.

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Abstract-Traffic offloading via device-to-device (D2D) communications has been proposed to alleviate the traffic burden on base stations (BSs) and to improve the spectral and energy efficiency of cellular networks. The success of D2D communications relies on the willingness of users to share contents. In this paper, we study the economic aspect of traffic offloading via content sharing among multiple devices and propose an incentive framework for D2D assisted offloading. In the proposed incentive framework, the operator improves its overall profit, defined as the network economic efficiency (ECE), by encouraging users to act as D2D transmitters (D2D-Txs) which broadcast their popular contents to nearby users. We analytically characterize D2D assisted offloading in cellular networks for two operating modes: 1) underlay mode and 2) overlay mode. We model the optimization of network ECE as a two-stage Stackelberg game, considering the densities of cellular users and D2D-Tx's, the operator's incentives and the popularity of contents. The closedform expressions of network ECE for both underlay and overlay modes of D2D communications are obtained. Numerical results show that the achievable network ECE of the proposed incentive D2D assisted offloading network can be significantly improved with respect to the conventional cellular networks where the D2D communications are disabled.

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“…The value of content popularity can be obtained by the keywords feature extraction method [20], [21] or the machine learning method [22], [23] according to the users' download history.…”

Section: B User's Association and Content Popularitymentioning

confidence: 99%

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

Shang

Zhao

Chen

et al. 2018

IEEE Trans. Wireless Commun.

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“…Considering the two-timescale control in Fig. 1(b), the caching decision q is made (at the end of) every T 0 time slots based on the historical profiles of user requests and CSI that have been collected during the time period 6 . For the considered typical period T 0 , the caching optimization problem is formulated as: P0: minimize q,wρ,t,Vt t∈T0…”

Section: B Caching Optimizationmentioning

confidence: 99%

“…Moreover, the cache status q for T 0 has been determined at the end of the previous time period. Then, the cooperative transmission policy {w ρ,t , V t } for time t ∈ T 0 is optimized online by solving the following problem 6 Prediction of the users' future requests based on historical user profiles can further improve the cache placement at the cost of an increased computational complexity. 7 For a non-convex MINLP, even if the binary constraints are relaxed into convex ones, the problem remains non-convex [41].…”

Section: Delivery Optimizationmentioning

confidence: 99%

“…Built upon the content-centric networking paradigm, in wireless caching, the most popular contents are pre-stored at the access points or BSs in close proximity of the user equipments (UEs). Consequently, the backhaul traffic is offloaded by reusing the cached content [5], [6]. Caching as an alternative to small cell backhauling was first investigated in [7], where caching was shown to also substantially reduce the average downloading delay.…”

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confidence: 99%

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Secure Video Streaming in Heterogeneous Small Cell Networks With Untrusted Cache Helpers

Xiang

Schober

et al. 2018

IEEE Trans. Wireless Commun.

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Abstract-This paper studies secure video streaming in cacheenabled small cell networks, where some of the cache-enabled small cell base stations (BSs) helping in video delivery are untrusted. Unfavorably, caching improves the eavesdropping capability of these untrusted helpers as they may intercept both the cached and the delivered video files. To address this issue, we propose joint caching and scalable video coding (SVC) of video files to enable secure cooperative multiple-input multipleoutput (MIMO) transmission and, at the same time, exploit the cache memory of both the trusted and untrusted BSs for improving the system performance. Considering imperfect channel state information (CSI) at the transmitters, we formulate a two-timescale non-convex mixed-integer robust optimization problem to minimize the total transmit power required for guaranteeing the quality of service (QoS) and secrecy during video streaming. We develop an iterative algorithm based on a modified generalized Benders decomposition (GBD) to solve the problem optimally, where the caching and the cooperative transmission policies are determined via offline (long-timescale) and online (short-timescale) optimization, respectively. Furthermore, inspired by the optimal algorithm, a low-complexity suboptimal algorithm based on a greedy heuristic is proposed. Simulation results show that the proposed schemes achieve significant gains in power efficiency and secrecy performance compared to several baseline schemes.

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“…Due to the limited capacity of wireless backhaul, the transmission rate by UAVs is also limited, which will degrade the quality of service (QoS) when mobile users are crowded. To solve this problem, caches can be equipped at UAVs to store the popular contents at off-peak period [23], and thus, when the users' requested contents exist at local caches of UAVs, they can be delivered to the users directly without wireless backhaul at peak period. Thus, the load via limited wireless backhaul can be reduced, which makes UAVs more feasible.…”

Section: Introductionmentioning

confidence: 99%

Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment

Zhao

Cheng

et al. 2018

IEEE Trans. Commun.

297

131

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(2018) Caching UAV assisted secure transmission in hyper-dense networks based on interference alignment. IEEE Transactions on Communication. Permanent WRAP URL:http://wrap.warwick.ac.uk/98753 Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: "© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works." A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP URL' above for details on accessing the published version and note that access may require a subscription. Abstract-Unmanned aerial vehicles (UAVs) can help smallcell base stations (SBSs) offload traffic via wireless backhaul to improve coverage and increase rate. However, the capacity of backhaul is limited. In this paper, UAV assisted secure transmission for scalable videos in hyper-dense networks via caching is studied. In the proposed scheme, UAVs can act as SBSs to provide videos to mobile users in some small cells. To reduce the pressure of wireless backhaul, UAVs and SBSs are both equipped with caches to store videos at off-peak time. To facilitate UAVs, a single antenna is equipped at each UAV and thus, only the precoding matrices of SBSs should be cooperatively designed to manage interference by exploiting the principle of interference alignment. On the other hand, the SBSs replaced by UAVs will be idle. Thus, in order to guarantee secure transmission, the idle SBSs can be further exploited to generate jamming signal to disrupt eavesdropping. The jamming signal is zero-forced at the legitimate users through the precoding of the idle SBSs, without affecting the legitimate transmission. The feasibility conditions of the proposed scheme are derived, and the secrecy performance is analyzed. Finally, simulation results are presented to verify the effectiveness of the proposed scheme.

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Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

Cited by 736 publications

References 36 publications

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

Secure Video Streaming in Heterogeneous Small Cell Networks With Untrusted Cache Helpers

Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment

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