Skip to main content

2018 | OriginalPaper | Buchkapitel

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

verfasst von : Lina Cao, Daosheng Li, Fei Xia, Xiaobo Huang, Siwen Zhao, Shuang Liu

Erschienen in: Geo-Spatial Knowledge and Intelligence

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat 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)CrossRef 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)CrossRef
2.
Zurück zum Zitat Jiang, D., Xu, Z., Xu, H.: A novel hybrid prediction algorithm to network traffic. Ann. Telecommun. 70(9), 427–439 (2015)CrossRef Jiang, D., Xu, Z., Xu, H.: A novel hybrid prediction algorithm to network traffic. Ann. Telecommun. 70(9), 427–439 (2015)CrossRef
3.
Zurück zum Zitat 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) 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)
4.
Zurück zum Zitat 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)CrossRef 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)CrossRef
5.
Zurück zum Zitat 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) 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)
6.
Zurück zum Zitat Zappone, A., Jorswieck, E.A.: Energy-efficient resource allocation in future wireless networks by sequential fractional programming. Digit. Signal Process. 60, 324–337 (2017)CrossRef Zappone, A., Jorswieck, E.A.: Energy-efficient resource allocation in future wireless networks by sequential fractional programming. Digit. Signal Process. 60, 324–337 (2017)CrossRef
7.
Zurück zum Zitat 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) 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)
8.
Zurück zum Zitat 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)CrossRef 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)CrossRef
9.
Zurück zum Zitat 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) 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)
10.
Zurück zum Zitat 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)CrossRef 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)CrossRef
11.
Zurück zum Zitat 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)CrossRef 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)CrossRef
12.
Zurück zum Zitat 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) 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)
13.
Zurück zum Zitat 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) 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)
Metadaten
Titel
Soft Frequency Reuse Scheme with Maximum Energy Efficiency in Power Telecommunication Networks
verfasst von
Lina Cao
Daosheng Li
Fei Xia
Xiaobo Huang
Siwen Zhao
Shuang Liu
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-0896-3_4