Caching at the edge has emerged as a promising technology to enhance the quality of service (QoS) of users and mitigate the backhaul load. Since the cache capacity is not arbitrarily large to store all contents, the backhaul can assist to fetch the contents from the core network. The network performance analysis of base station (BS) caching should consider the limited backhaul capacity. In this paper, we analyze the energy efficiency of the cache-enabled cellular networks considering the backhaul with stochastic geometry. First, the content coverage probability (CCP) based on the limited backhaul is analyzed. With the obtained CCP results, the expressions of throughput, power consumption and energy efficiency for a general case and a specific case with the mean load approximation are derived respectively. Simulation results confirm the accuracy of theoretical analysis and verify that BSs caching can dramatically improve energy efficiency on the condition that the content popularity is skewed and the backhaul capacity is relatively small.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Backhaul Aware Energy Efficiency Analysis of Cache-Enabled Cellular Networks (Invited Paper)


    Beteiligte:
    Fan, Congshan (Autor:in) / Zhang, Tiankui (Autor:in) / Zeng, Zhimin (Autor:in) / Chen, Yue (Autor:in)


    Erscheinungsdatum :

    2018-06-01


    Format / Umfang :

    513294 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission

    Feng, Tianming / Shi, Shuo / Gu, Shushi et al. | IEEE | 2020


    Secrecy Rate Performance of Cache-enabled Millimeter Wave Cellular Networks

    Ochia, Okechukwu E. / Darwesh, Ahmed F. / Fapojuwo, Abraham O. | IEEE | 2020


    Backhaul-Constrained Resource Allocation and 3D Placement for UAV-Enabled Networks

    Youssef, Marie-Josepha / Nour, Charbel Abdel / Farah, Joumana et al. | IEEE | 2019