Beef Up mmWave Dense Cellular Networks With D2D-Assisted Cooperative Edge Caching

被引:51
|
作者
Wu, Wen [1 ]
Zhang, Ning [2 ]
Cheng, Nan [1 ]
Tang, Yujie [1 ]
Aldubaikhy, Khalid [1 ]
Shen, Xuemin [1 ]
机构
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
[2] Texas A&M Univ, Dept Comp Sci, Corpus Christi, TX 78412 USA
基金
加拿大自然科学与工程研究理事会;
关键词
D2D communication; cooperative edge caching; mmWave dense network; MILLIMETER-WAVE COMMUNICATIONS; DELAY ANALYSIS; MOBILE; DESIGN;
D O I
10.1109/TVT.2019.2896906
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Edge caching is emerging as the most promising solution to reduce the content retrieval delay and relieve the huge burden on the backhaul links in the ultra-dense networks by proactive caching popular contents in the small base station (SBS). However, constraint cache resource of individual SBSs significantly throttles the performance of edge caching. In this paper, we propose a device-to-device (D2D) assisted cooperative edge caching (DCEC) policy for millimeter (mmWave) dense networks, which cooperatively utilizes the cache resource of users and SBSs in proximity. In the proposed DCEC policy, a content can be cached in either users' devices or SBSs according to the content popularity, and a user can retrieve the requested content from neighboring users via D2D links or the neighboring SBSs via cellular links to efficiently exploit the cache diversity. Unlike existing cooperative caching policies in the lower frequency bands that require complex interference management techniques to suppress interference, we take advantage of directional antenna in mmWave systems to ensure high transmission rate whereas mitigating interference footprint. Taking the practical directional antenna model and the network density into consideration, we derive closed-form expressions of the backhaul offloading performance and content retrieval delay based on the stochastic information of network topology. In addition, analytical results indicate that, with the increase of the network density, the content retrieval delay via D2D links increases significantly while that via cellular links increases slightly. Comprehensive simulations validate our theoretical analysis and demonstrate that the proposed policy can achieve higher performance in offloading the backhaul traffic and reducing the content retrieval delay compared with the state-of-the-art most popular caching policy.
引用
收藏
页码:3890 / 3904
页数:15
相关论文
共 50 条
  • [1] Joint access and backhaul resource allocation for D2D-assisted dense mmWave cellular networks
    Dai, Xiangwen
    Gui, Jinsong
    COMPUTER NETWORKS, 2020, 183 (183)
  • [2] Energy Efficient Downlink Resource Allocations for D2D-Assisted Cellular Networks With Mobile Edge Caching
    Liu, Yuanfei
    Wang, Ying
    Sun, Ruijin
    Meng, Sachula
    Su, Runcong
    IEEE ACCESS, 2019, 7 : 2053 - 2067
  • [3] Caching Optimization for D2D-Assisted Heterogeneous Wireless Networks
    Jaafar, Wael
    Ajib, Wessam
    Elbiaze, Halima
    2019 IEEE 30TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2019, : 1693 - 1698
  • [4] Unsupervised Learning for D2D-Assisted Multicast Scheduling in mmWave Networks
    Chukhno, Nadezhda
    Chukhno, Olga
    Pizzi, Sara
    Molinaro, Antonella
    Iera, Antonio
    Araniti, Giuseppe
    2021 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB), 2021,
  • [5] Joint Caching and Resource Allocation in D2D-Assisted Heterogeneous Networks
    Jaafar, Wael
    Ajib, Wessam
    Elbiaze, Halima
    2018 14TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB 2018), 2018,
  • [6] User-Preference-Learning-Based Proactive Edge Caching for D2D-Assisted Wireless Networks
    Li, Dongyang
    Zhang, Haixia
    Ding, Hui
    Li, Tiantian
    Liang, Daojun
    Yuan, Dongfeng
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (13) : 11922 - 11937
  • [7] Computation Offloading Strategy in D2D-assisted Cellular Networks with Mobile Edge Computing
    Hou, Junxu
    Wang, Xiaoxiang
    Wang, Dongyu
    Lan, Yanwen
    Liu, Zhaolin
    2019 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS IN CHINA (ICCC WORKSHOPS), 2019, : 251 - 256
  • [8] D2D-Assisted Caching on Truncated Zipf Distribution
    Li, Qiang
    Zhang, Yuanmei
    Pandharipande, Ashish
    Ge, Xiaohu
    Zhang, Jiliang
    IEEE ACCESS, 2019, 7 : 13411 - 13421
  • [9] D2D-Assisted Federated Learning in Mobile Edge Computing Networks
    Zhang, Xueqing
    Liu, Yanwei
    Liu, Jinxia
    Argyriou, Antonios
    Han, Yanni
    2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2021,
  • [10] Efficient Scheduling and Power Allocation for D2D-Assisted Wireless Caching Networks
    Zhang, Lin
    Xiao, Ming
    Wu, Gang
    Li, Shaoqian
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2016, 64 (06) : 2438 - 2452