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Energy-Efficient Coded Caching and Resource Allocation for Smart Grid-Supported HetNets

  • Fangfang YinEmail author
  • Junyi Lyu
  • Danpu Liu
  • Zhilong Zhang
  • Minyin Zeng
Conference paper
  • 180 Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 312)

Abstract

Compared with uncoded caching, coded caching (CC) that exploits accumulated cache size and distributes fractions of a file in different base stations (BSs), can significantly reduce delays and backhaul transmissions. Small base stations (SBSs) with both cache and energy harvesting (EH) ability have attracted extensive attention in recent years. Moreover, renewable energy (RE) also called green energy can be shared between SBSs via the Smart Grid (SG). This paper investigates CC, resource allocation (RA) and energy cooperation (EC) in cache-enabled energy harvesting (EH) heterogeneous networks (HetNets). We formulate the joint optimization problem, aims at minimizing the conventional grid energy consumption while satisfying quality of service (QoS) requirements of users. Simulation results demonstrate the considerable reduction in conventional grid energy consumption compared with other benchmarks.

Keywords

Coded caching Matching Energy cooperation Smart grid Resource allocation 

Notes

Acknowledgment

This work is supported by the National Natural Science Foundation of China under Grant No.61971069, 61801051, the Beijing Natural Science Foundation under Grant No. L172032, the Key R&D Program Projects in Shanxi Province under Grant No. 2019ZDLGY07-10 and the Open Project of Information Security Laboratory of National Defense Scientific Research and Test under Grant No. 2016XXAQ09.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020

Authors and Affiliations

  • Fangfang Yin
    • 1
    Email author
  • Junyi Lyu
    • 1
  • Danpu Liu
    • 1
  • Zhilong Zhang
    • 1
  • Minyin Zeng
    • 1
  1. 1.Beijing Laboratory of Advanced Information Network, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and TelecommunicationsBeijingChina

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