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

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Communications and Networking (ChinaCom 2019)

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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.

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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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Authors and Affiliations

  1. Beijing Laboratory of Advanced Information Network, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Fangfang Yin, Junyi Lyu, Danpu Liu, Zhilong Zhang & Minyin Zeng

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  1. Fangfang Yin
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  2. Junyi Lyu
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  3. Danpu Liu
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  4. Zhilong Zhang
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  5. Minyin Zeng
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Correspondence to Fangfang Yin .

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Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. School of Computer Software, Tianjin University, Tianjin, China

    Zhiyong Feng

  3. Hangzhou Dianzi University, Hangzhou, China

    Jun Yu

  4. Tongji University, Shanghai Shi, China

    Jun Wu

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Yin, F., Lyu, J., Liu, D., Zhang, Z., Zeng, M. (2020). Energy-Efficient Coded Caching and Resource Allocation for Smart Grid-Supported HetNets. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-41114-5_8

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  • DOI: https://doi.org/10.1007/978-3-030-41114-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41113-8

  • Online ISBN: 978-3-030-41114-5

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