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Soft Frequency Reuse Scheme with Maximum Energy Efficiency in Power Telecommunication Networks

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Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 849))

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Abstract

This paper, we investigates the energy efficiency optimization problem in SFR-based cellular networks. To the end, we uses divide-and-conquer method to improve network energy efficiency. We build an optimization model with an objective function denoting energy efficiency of networks, which is a fractional program and very hard to be solved directly. To solve the model, we transform the objective function into another form. Then we utilize the Lagrange function and dual function to obtain the optimal energy efficiency with the gradient method updating the transmitting power allocation. Finally, we make a numerical simulation to validate the algorithm proposed. The simulation results show that the performance of our method is feasible.

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References

  1. Jiang, D., Xu, Z., Chen, Z., et al.: Joint time-frequency sparse estimation of large-scale network traffic. Comput. Netw. 55(10), 3533–3547 (2011)

    Article  Google Scholar 

  2. Jiang, D., Xu, Z., Xu, H.: A novel hybrid prediction algorithm to network traffic. Ann. Telecommun. 70(9), 427–439 (2015)

    Article  Google Scholar 

  3. Novlan, T., Andrews, J.G., Sohn, I., Ganti, R.K.: Comparison of fractional frequency reuse approaches in the OFDMA cellular downlink. In: Global Telecommunications Conference, pp. 1–5. IEEE (2010)

    Google Scholar 

  4. Jiang, D., Li, W., Lv, H.: An energy-efficient cooperative multicast routing in multi-hop wireless networks for smart medical applications. Neurocomputing 220, 160–169 (2017)

    Article  Google Scholar 

  5. Mahmud, A., Lin, Z., Hamdi, K.A.: On the energy efficiency of fractional frequency reuse techniques. In: Wireless Communications and Networking Conference, pp. 2348–2353. IEEE (2014)

    Google Scholar 

  6. Zappone, A., Jorswieck, E.A.: Energy-efficient resource allocation in future wireless networks by sequential fractional programming. Digit. Signal Process. 60, 324–337 (2017)

    Article  Google Scholar 

  7. Xie, B., Zhang, Z., Hu, R., Wu, G., Papathanassiou, A.: Joint spectral efficiency and energy efficiency in FFR based wireless heterogeneous networks. IEEE Trans. Veh. Technol., 1 (2017)

    Google Scholar 

  8. Jiang, D., Wang, Y., Han, Y., et al.: Maximum connectivity-based channel allocation algorithm in cognitive wireless networks for medical applications. Neurocomputing 220, 41–51 (2017)

    Article  Google Scholar 

  9. Yassin, M., Lahoud, S., Khawam, K., Ibrahim, M., Mezher, D., Cousin, B.: Centralized versus decentralized multi-cell resource and power allocation for multiuser OFDMA networks. In: IFIP Networking Conference, pp. 112–124. IEEE (2016)

    Google Scholar 

  10. Jiang, D., Xu, Z., Li, W., et al.: An energy-efficient multicast algorithm with maximum network throughput in multi-hop wireless networks. J. Commun. Netw. 18(5), 713–724 (2016)

    Article  Google Scholar 

  11. Jiang, D., Zhang, P., Lv, Z., et al.: Energy-efficient multi-constraint routing algorithm with load balancing for smart city applications. IEEE Internet Things J. 3(6), 1437–1447 (2016)

    Article  Google Scholar 

  12. Han, S., Lu, Y., Yang, S., Mu, X., Wang, N.: Game theory-based energy efficiency optimization for multi-user cognitive radio over MIMO interference channels. In: Vehicular Technology Conference, pp. 1–5. IEEE (2017)

    Google Scholar 

  13. Lahoud, S., Khawam, K., Martin, S., Feng, G., Liang, Z., Nasreddine, J.: Energy efficient joint scheduling and power control in multi-cell wireless networks. IEEE J. Sel. Areas Commun., 1 (2016)

    Google Scholar 

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Correspondence to Lina Cao .

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Cao, L., Li, D., Xia, F., Huang, X., Zhao, S., Liu, S. (2018). Soft Frequency Reuse Scheme with Maximum Energy Efficiency in Power Telecommunication Networks. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_4

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  • DOI: https://doi.org/10.1007/978-981-13-0896-3_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0895-6

  • Online ISBN: 978-981-13-0896-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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