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Collaborative and Green Resource Allocation in 5G HetNet with Renewable Energy

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2017)

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Abstract

By deploying dense renewable-connected small-cells, heterogeneous networks (HetNets) are able to provide spectral and energy efficiencies for 5G system. However, the small-cell base stations (BSs) may suffer the intra-cell interferences and variabilities of renewable energy. In this paper, we firstly introduce a collaborative architecture to deal with intra-cell interferences and renewable uncertainty for different-tier of users in HetNets. A stochastic optimization problem is formulated to maximize the energy efficiency of collaborative HetNet. To solve the problem, a centralized resources allocation algorithm is proposed based on random variabilities of spectrum and renewable resources. Finally, the extensive numerical results are provided to verify the effectiveness of the proposed collaborative resources allocation method.

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References

  1. Metis, “Scenarios, requirements and KPIs for 5G mobile and wireless system,” ICT-317669 METIS project, May 2013

    Google Scholar 

  2. Liu, Y.: A parallel cooperative spectrum sensing in cognitive radio networks. IEEE Trans. Veh. Technol. 59(8), 4079–4092 (2010)

    Article  Google Scholar 

  3. Liu, Y.: SD-MAC: spectrum database-driven MAC protocol for cognitive machine-to-machine networks. IEEE Trans. Veh. Technol. 66(2), 1456–1467 (2017)

    Article  Google Scholar 

  4. Cao, W.: Cellular offloading in heterogeneous mobile networks with D2D communication assistance. IEEE Trans. Veh. Technol. 66(5), 4245–4255 (2017)

    Google Scholar 

  5. Wu, Y.: Green transmission technologies for balancing the energy efficiency and spectrum efficiency trade-off. IEEE Commun. Mag. 52(11), 112–120 (2014)

    Article  Google Scholar 

  6. Hu, R., Qian, Y.: An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems. IEEE Commun. Mag. 52(5), 94–101 (2014)

    Article  Google Scholar 

  7. Peng, M.: Energy-efficient resource assignment and power allocation in heterogeneous cloud radio access networks. IEEE Trans. Veh. Technol. 52(5), 5275–5287 (2015)

    Article  Google Scholar 

  8. Huq, K.M.S., et al.: Green HetNet CoMP: energy efficiency analysis and optimization. IEEE Trans. Veh. Technol. 64(10), 4670–4683 (2015)

    Article  Google Scholar 

  9. Liu, C.-H., Fong, K.L.: Fundamentals of the downlink green coverage and energy efficiency in heterogeneous networks. IEEE J. Sel. Areas Commun. 34(12), 3271–3287 (2016)

    Article  Google Scholar 

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Acknowledgment

The work is supported in part by programs of NSFC under grant nos. 61403086, 61773126.

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Authors and Affiliations

  1. School of Automation, Guangdong University of Technology, Guangzhou, China

    Yi Liu & Shengli Xie

  2. Guangdong Province Key Laboratory of IoT Information Technology, Guangzhou, China

    Yi Liu & Shengli Xie

  3. Queen Mary University of London, London, UK

    Yue Gao

  4. University of Oslo, Oslo, Norway

    Yan Zhang

Authors
  1. Yi Liu
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  2. Yue Gao
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  3. Shengli Xie
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  4. Yan Zhang
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Corresponding author

Correspondence to Yi Liu .

Editor information

Editors and Affiliations

  1. Edinburgh Napier University, Edinburgh, UK

    Imed Romdhani

  2. Guangdong University of Petrochemical Technology, Maoming, China

    Lei Shu

  3. Osaka University, Osaka, Japan

    Hara Takahiro

  4. China University of Geosciences, Beijing, China

    Zhangbing Zhou

  5. University of Nebraska–Lincoln, Lincoln, UK

    Timothy Gordon

  6. School of Computer Science, China University of Geosciences, Wuhan, Hubei, China

    Deze Zeng

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, Y., Gao, Y., Xie, S., Zhang, Y. (2018). Collaborative and Green Resource Allocation in 5G HetNet with Renewable Energy. In: Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-00916-8_2

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  • DOI: https://doi.org/10.1007/978-3-030-00916-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00915-1

  • Online ISBN: 978-3-030-00916-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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