4.7 Article

Deployment Model and Performance Analysis of Clustered D2D Caching Networks Under Cluster-Centric Caching Strategy

期刊

IEEE TRANSACTIONS ON COMMUNICATIONS
卷 68, 期 8, 页码 4933-4945

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2020.2992053

关键词

Device-to-device communication; Receivers; Transmitters; Interference; Cellular networks; Analytical models; Simulation; D2D; Poisson cluster process; coverage probability; cache hit probability; average achievable rate

资金

  1. National Natural Science Foundation of China [61822104, 61771044, 61872221]
  2. Beijing Natural Science Foundation [L172025, L172049]
  3. 111 Project [B170003]
  4. Fundamental Research Funds for the Central Universities [FRF-GF-18-017B, FRF-TP-19-002C1, RC1631]
  5. Beijing Top Discipline for Artificial Intelligent Science and Engineering, University of Science and Technology Beijing

向作者/读者索取更多资源

Device-to-Device (D2D) communication has become a promising candidate in future cellular networks to improve spectrum efficiency and energy efficiency, while reducing the latency. As the capacity of D2D user equipments (DUEs) increases, it makes DUEs caching possible, and it can offload traffic from macro base stations, perform computation-intensive and latency-critical tasks. In this paper, in-band communication is considered, and the Poisson cluster process is utilized to model and analyze the clustered D2D networks under cluster-centric caching strategy. Firstly, we use the Thomas cluster process to model cellular user equipments (CUEs) and DUEs, and give a deployment scheme of clustered D2D caching networks. Secondly, the aggregated interference of the typical D2D receiver is analyzed in the clustered D2D networks. Then the Laplace transform of the aggregated interference is analyzed, and the expressions of coverage probability, average achievable rate and cache hit probability of the typical D2D receiver are deduced. The simulation results show that we can adjust the path loss exponent, densities of DUEs and CUEs, transmitting power of CUEs, mean of simultaneously active transmitters in each cluster and Zipf exponent to improve the performance of clustered D2D caching networks.

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