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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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References

  1. Zhang, X., et al.: Energy-efficient caching for scalable videos in heterogeneous networks. IEEE J. Sel. Areas Commun. 36(8), 1802–1815 (2018)

    Article  Google Scholar 

  2. Li, L., Zhao, G., Blum, R.S.: A survey of caching techniques in cellular networks: research issues and challenges in content placement and delivery strategies. IEEE Commun. Surv. Tutor. 20(3), 1710–1732 (2018)

    Article  Google Scholar 

  3. Gabry, F., Bioglio, V., Land, I.: On energy-efficient edge caching in heterogeneous networks. IEEE J. Sel. Areas Commun. 34(12), 3288–3298 (2016)

    Article  Google Scholar 

  4. Wu, Y., et al.: Green-oriented traffic offloading through dual connectivity in future heterogeneous small cell networks. IEEE Commun. Mag. 56(5), 140–147 (2018)

    Article  Google Scholar 

  5. Rahbar, K., Chai, C.C., Zhang, R.: Energy cooperation optimization in microgrids with renewable energy integration. IEEE Trans. Smart Grid 9(2), 1482–1493 (2018)

    Article  Google Scholar 

  6. Ozfatura, E.: Mobility and popularity-aware coded small-cell caching. IEEE Commun. Lett. 22(2), 288–291 (2018)

    Article  Google Scholar 

  7. Liao, J., et al.: Coding, multicast, and cooperation for cache-enabled heterogeneous small cell networks. IEEE Trans. Wireless Commun. 16(10), 6838–6853 (2017)

    Article  Google Scholar 

  8. Yin, F., Wang, A., Liu, D., Zhang, Z.: Energy-aware joint user association and resource allocation for coded cache-enabled HetNets. IEEE Access 7, 94128–94142 (2019)

    Article  Google Scholar 

  9. Sheng, M., et al.: Intelligent energy and traffic coordination for green cellular networks with hybrid energy supply. IEEE Trans. Veh. Technol. 66(2), 1631–1646 (2017)

    Article  Google Scholar 

  10. Xu, B., et al.: Resource allocation in energy-cooperation enabled two-tier NOMA HetNets toward green 5G. IEEE J. Sel. Areas Commun. 35(12), 2758–2770 (2017)

    Article  Google Scholar 

  11. Xu, B., et al.: Resource allocation for wireless virtualized hetnet with caching and hybrid energy supply. In: IEEE WCNC, pp. 1–6, April 2018

    Google Scholar 

  12. Guo, F., Zhang, H., Li, X., Ji, H., Leung, V.C.M.: Joint optimization of caching and association in energy-harvesting-powered small-cell networks. IEEE Trans. Veh. Technol. 67(7), 6469–6480 (2018)

    Article  Google Scholar 

  13. Rahbar, K., Chai, C.C., Zhang, R.: Energy cooperation optimization in microgrids with renewable energy integration. IEEE Trans. Smart Grid 9, 1482–1493 (2018)

    Article  Google Scholar 

  14. Younis, A.: Bandwidth and energy aware resource allocation for cloud radio access networks. IEEE Trans. Wireless Commun. 17(10), 6487–6500 (2018)

    Article  Google Scholar 

  15. Yin, F., et al.: Coded caching for energy efficient HetNets with bandwidth allocation and user association. In: IEEE VTC-Fall, pp. 1–6 (2019)

    Google Scholar 

  16. CVX Research Inc.: CVX: Matlab software for disciplined convex programming, version 3.0 beta (2015). http://cvxr.com/cvx

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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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Corresponding author

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

  • eBook Packages: Computer ScienceComputer Science (R0)

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