Power Allocation for Cache-Aided Small-Cell Networks With Limited Backhaul

Cheng, Fen; Yu, Yan; Zhao, Zhongyuan; Zhao, Nan; Chen, Yunfei; Lin, Hai

doi:10.1109/access.2017.2656384

Cited by 33 publications

(40 citation statements)

References 38 publications

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“…However, small cell networks cannot solve the problem of backhaul congestion. With the rapid increase of multimedia data traffic, the pressure on the backhaul traffic overhead becomes more and more serious while jeopardizing QoS satisfaction throughout the entire network [4]. In order to solve this problem, caching mechanism in SBSs is an attractive approach to improve the transmission rate while reducing the backhaul load.…”

Section: Introductionmentioning

confidence: 99%

“…By densely deploying low-power low-cost small cell base stations (SBSs), network system can improve local coverage, bandwidth efficiency, network throughput, and energy efficiency [1,2,4]. However, small cell networks cannot solve the problem of backhaul congestion.…”

Section: Introductionmentioning

confidence: 99%

“…If the users' requested contents already exist in the caches of SBSs, the SBSs can directly transmit the contents to users without backhaul. This approach allows the caching mechanism to shift the backhaul traffic with effective access delay [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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

Kim

2017

Mobile Information Systems

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Kim

2017

Mobile Information Systems

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“…Thus, it is very important to properly manage interference to further improve the performance of small-cell networks [2]. As an emerging technique for interference management in wireless networks, interference alignment (IA) can be utilized in hyder-dense small-cell networks [3]- [8]. In addition, the security of small-cell networks is also a critical issue, which has attracted significant attention [9]- [14].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the transmission latency can be reduced, and the quality of experience for users will be enhanced. Furthermore, caching can also be utilized in interference networks, especially, IAbased networks, to facilitate the interference management and improve the performance [7], [8], [29], [30]. In [29], each file was divided into some nonoverlapping subfiles cached at different transmitters, and then, those subfiles would be transmitted to users cooperatively by managing interference effectively with IA gain.…”

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.

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290

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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Deep Reinforcement Learning for Interference Alignment Wireless Networks

2019

Deep Reinforcement Learning for Wireless Networks

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Power Allocation for Cache-Aided Small-Cell Networks With Limited Backhaul

Cited by 33 publications

References 38 publications

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

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

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

Deep Reinforcement Learning for Interference Alignment Wireless Networks

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