Skip to main content
SpringerLink
Log in

Capacity Improvement in 5G Networks Using Femtocell

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Allocation of resources between femtocell and macrocell is essential to counter the effects of interference in the dense femtocell. The significant increase in the number of internet users and the demand for higher data capacity per user mandates the development of complex and expensive telecommunication infrastructure that includes spectrum and power management, increased operation power and high-quality. In this work, we investigate the performance of femtocells in outdoor and indoor space based on the network’s capacity and resource management by extensive numerical modeling and simulations for different conditions of user’s location and femtocells in one cell.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Aydemir, M., & Cengiz, K. (2016). A potential architecture and next generation technologies for 5G wireless networks. In 2016 24th Signal processing and communication application conference (SIU), Zonguldak (pp. 277–280).

  2. Mishra, P. K., Pandey, S., & Biswash, S. K. (2016). A device-centric scheme for relay selection in a dynamic network scenario for 5G communication. IEEE Access, 4, 3757–3768.

    Article  Google Scholar 

  3. Zheng, Z., Chen, T., Liu, L., & Hu, W. (2015). Experimental demonstration of femtocell visible light communication system employing code division multiple access. In 2015 Optical fiber communications conference and exhibition (OFC), Los Angeles, CA (pp. 1–3).

  4. Bouras, C., & Diles, G. (2017). Energy efficiency in sleep mode for 5G femtocells. In 2017 Wireless days, Porto (pp. 143–145).

  5. Chu, F. S., Lee, C. H., & Chen, K. C. (2014). Backhaul-constrained resource optimization for distributed femtocell interference mitigation. In 2014 IEEE wireless communications and networking conference (WCNC), Istanbul (pp. 1485–1489).

  6. Lv, T., Gao, H., & Yang, S. (2015). Secrecy transmit beamforming for heterogeneous networks. IEEE Journal on Selected Areas in Communications, 33(6), 1154–1170.

    Article  Google Scholar 

  7. Markendahl, J., & Ghanbari, A. (2013). Shared smallcell networks multi-operator or third party solutions-or both? In: 2013 11th International symposium and workshops on modeling and optimization in mobile, Ad Hoc and wireless networks (WiOpt), Tsukuba Science City (pp. 41–48).

  8. Rohoden, K., Estrada, R., Otrok, H., & Dziong, Z. (2016). A coalitional game for femtocell clustering in OFDMA macro-femtocell networks. In 2016 17th International telecommunications network strategy and planning symposium (networks), Montreal, QC (pp. 221–226).

  9. Do, C. T., Dang, D. N. M., LeAnh, T, Tran, N. H., Haw, R., & Hong, C. S. (2014). Power control under QoS and interference constraint in Femtocell cognitive networks. In: The international conference on information networking 2014 (ICOIN2014), Phuket (pp. 292–297).

  10. Bantavis, P. I., Kolitsidas, C., Jonsson, B. L. G., Empliouk, T., & Kyriacou, G. A. (2017). A wideband switched beam antenna system for 5G femtocell applications. In 2017 IEEE international symposium on antennas and propagation & USNC/URSI national radio science meeting, San Diego, CA (pp. 929-930).

  11. Hajir, M., & Gagnon, F. (2015). QoS-aware admission control for OFDMA femtocell networks under fractional frequency-based allocation. In 2015 IEEE 81st vehicular technology conference (VTC Spring), Glasgow (pp. 1–6).

  12. Radaydeh, R. M., & Alouini, M. S. (2012). low-overhead interference mitigation scheme for collaborative channel assignment in overloaded multiantenna femtocells. IEEE Transactions on Vehicular Technology, 61(7), 3071–3086.

    Article  Google Scholar 

  13. Barros, S., Bazzo, J., dos Reis Pereira, O., Carrillo, D., & Seki, J. (2017). Evolution of long term narrowband-IoT. In 2017 IEEE XXIV international conference on electronics, electrical engineering and computing (INTERCON), Cusco, Peru (pp. 1–4).

  14. Malandrino, F., Chiasserini, C. F., & Kirkpatrick, S. (2018). Cellular network traces towards 5G: Usage, analysis and generation. IEEE Transactions on Mobile Computing, 17(3), 529–542.

    Article  Google Scholar 

  15. Allen, B., Mahato, S., Gao, Y., & Salous, S. (2017). Indoor-to-outdoor empirical path loss modelling for femtocell networks at 0.9, 2, 2.5 and 3.5 GHz using singular value decomposition. IET Microwaves, Antennas and Propagation, 11(9), 1203–1211.

    Article  Google Scholar 

  16. Hillery, W. J., Cudak, M., Ghosh, A., & Vejlgaard, B. (2013). Inside-out: Can indoor femtocells satisfy outdoor coverage and capacity needs? In 2013 IEEE globecom workshops (GC Wkshps), Atlanta, GA (pp. 339–344).

  17. Uchida, K., Hadano, N., Takematsu, M., & Honda, J. (2014). Propagation estimation by using building coverage and floor area ratios based on 1-ray model combined with Okumura–Hata mode. In 2014 17th International conference on network-based information systems, Salerno (pp. 555–560).

  18. 3GPP TR 36.814 V9.0.0. (2010). Evolved universal terrestrial radio access (E-UTRA); further advancements for E-UTRA physical layer aspects (release 9). Technical report, 3rd generation partnership project.

  19. LTE-A Femto-simulator. http://ru6.cti.gr/ru6/femto-macro_throughput_simulator.zip. Accessed Oct 2016.

  20. Ikuno, J. C., Wrulich, M., & Rupp, M. (2010). System level simulation of LTE networks. In Vehicular technology conference, June 2010.

  21. Smail, G., & Weijia, J. (2017). Techno-economic analysis and prediction for the deployment of 5G mobile network. In 2017 20th Conference on innovations in clouds, internet and networks (ICIN), Paris (pp. 9–16).

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Electrical Engineering and Computer Sciences, Islamic Azad University North Tehran Branch, Tehran, Iran

    Mohammad Ghanbarisabagh

  2. Department of Electrical and Electronic Engineering, Lee Kong Chian Faculty of Engineering and Science, University Tunku Abdul Rahman, Kuala Lumpur, Malaysia

    Gobi Vetharatnam

  3. The Rince Institute, School of Electronic Engineering, Dublin City University, Glasnevin 9, Dublin, Ireland

    Elias Giacoumidis

  4. International Business School, Zahony Utca 7, Budapest, 1031, Hungary

    Soheil Momeni Malayer

Authors
  1. Mohammad Ghanbarisabagh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gobi Vetharatnam
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Elias Giacoumidis
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Soheil Momeni Malayer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohammad Ghanbarisabagh.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ghanbarisabagh, M., Vetharatnam, G., Giacoumidis, E. et al. Capacity Improvement in 5G Networks Using Femtocell. Wireless Pers Commun 105, 1027–1038 (2019). https://doi.org/10.1007/s11277-019-06134-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06134-2

Keywords

Search

Navigation