Joint Cache Partitioning, Content Placement and User Association for D2D-Enabled Heterogeneous Cellular Networks

被引:8
|
作者
Chai, Rong [1 ]
Li, Yingying [1 ]
Chen, Qianbin [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
基金
中国国家自然科学基金;
关键词
Cache partitioning; content placement; D2D communications; heterogeneous cellular networks; user association; ASSIGNMENT; MANAGEMENT;
D O I
10.1109/ACCESS.2019.2901362
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid growth of traffic demands has posed the challenges to both radio access networks (RANs) and backhaul links. While the device-to-device (D2D)-enabled heterogeneous cellular networks (HCNs) are expected to offer diverse radio access capabilities and to improve the transmission performance of user equipments (UEs) significantly, the backhaul links may still experience challenges in offering quality-of-service guaranteed services to UEs. To tackle these problems, caching technology, i.e., caching user contents at the infrastructures of RANs, is proposed as an effective approach. In this paper, we consider the joint cache partitioning, content placement, and user association problem in the D2D-enabled HCNs and propose a two-step algorithm Aiming to improve the utilization of cache space at small base stations, we propose a bankruptcy game-based cache partitioning algorithm to obtain the optimal cache space allocation strategy, based on which we then propose a joint content placement and user association algorithm to achieve the minimum service delay of all the content request users. As the formulated optimization problem is a mixed integer nonlinear optimization problem which cannot be solved conveniently, we apply the McCormick envelopes and the Lagrangian partial relaxation method to decompose the optimization problem into three subproblems which can be iteratively solved by means of the modified Kuhn-Munkres algorithm and the unidimensional knapsack algorithm. Simulation results validate the effectiveness of our proposed scheme.
引用
收藏
页码:56642 / 56655
页数:14
相关论文
共 50 条
  • [41] Uplink performance analysis in D2D-enabled cellular networks with clustered users
    Zhu, Liangting
    Sun, Yongjun
    WIRELESS NETWORKS, 2022, 28 (01) : 319 - 330
  • [42] A Noval Fast Resource Allocation Scheme for D2D-enabled Cellular Networks
    Dun, Hui
    Ye, Fang
    Jiao, Shuhong
    2020 IEEE USNC-CNC-URSI NORTH AMERICAN RADIO SCIENCE MEETING (JOINT WITH AP-S SYMPOSIUM), 2020, : 91 - 92
  • [43] When Distributed Outperforms Centralized Scheduling in D2D-Enabled Cellular Networks
    Ibrahim, Rita
    Assaad, Mohamad
    Sayrac, Berna
    Gati, Azeddine
    MSWIM'18: PROCEEDINGS OF THE 21ST ACM INTERNATIONAL CONFERENCE ON MODELING, ANALYSIS AND SIMULATION OF WIRELESS AND MOBILE SYSTEMS, 2018, : 189 - 198
  • [44] Uplink performance analysis in D2D-enabled cellular networks with clustered users
    Liangting Zhu
    Yongjun Sun
    Wireless Networks, 2022, 28 : 319 - 330
  • [45] Opportunistic access control for enhancing security in D2D-enabled cellular networks
    Chen, Yajun
    Ji, Xinsheng
    Huang, Kaizhi
    Li, Bin
    Kang, Xiaolei
    SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (04)
  • [46] Opportunistic access control for enhancing security in D2D-enabled cellular networks
    Yajun Chen
    Xinsheng Ji
    Kaizhi Huang
    Bin Li
    Xiaolei Kang
    Science China Information Sciences, 2018, 61
  • [47] Downlink Performance Analysis in D2D-Enabled Cellular Networks with Clustered Users
    Yongjun Sun
    Liangting Zhu
    Wireless Personal Communications, 2022, 122 : 577 - 592
  • [48] Analytical Modeling of Mode Selection for Moving D2D-Enabled Cellular Networks
    Xu, Xiaodong
    Zhang, Yi
    Sun, Zhao
    Hong, Yateng
    Tao, Xiaofeng
    IEEE COMMUNICATIONS LETTERS, 2016, 20 (06) : 1203 - 1206
  • [49] D2D-Enabled User Cooperation in Massive MIMO
    Liu, Yinsheng
    Pan, Cunhua
    You, Li
    Han, Wei
    IEEE SYSTEMS JOURNAL, 2020, 14 (03): : 4406 - 4417
  • [50] Multi-Bitrate Video Caching for D2D-Enabled Cellular Networks
    Zhu, Hao
    Cao, Yang
    Hu, Qiwei
    Wang, Wei
    Jiang, Tao
    Zhang, Qian
    IEEE MULTIMEDIA, 2019, 26 (01) : 10 - 20