Skip to main content

Advertisement

SpringerLink
Log in

Efficient coverage management of pico cells in HetNets via spectrum slicing, cell biasing, and transmit power spreading

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

Cell biasing is an effective solution for mobile user offloading in Heterogeneous Cellular Network (HetNet). Cell biasing modifies the user association criteria by incorporating Range Expansion Bias (REB) in traditional reference signal based user association technique. For sparse user distribution, REB for picocells does not offload users located outside RSRP Threshold Coverage Area. This is because the actual Reference Signal Received Power (RSRP) value for such users is lesser than the threshold RSRP value for successful communication. On the other hand, using a negative REB value for dense user distribution around picocells is not desirable because it leads to higher interference at users and high energy consumption at macrocells. In this paper, we suggest a unified framework for coverage optimization using spectrum slicing and transmit power spreading. Our proposed framework considers a combination of subchannel transmit power and REB which is based on the user distribution around picocells. Additionally, in order to protect the signal quality of macrocell users located close to picocells, we suggest location aware subchannel allocation technique. This technique maximizes the number of Interference Free subchannels for macrocell users. Obtained results show that our proposed framework can significantly improve the coverage and system blocking for HetNet.

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

Similar content being viewed by others

References

  1. Cisco. (2016). Cisco Visual Networking Index: Global mobile data traffic forecast update, 2015–2020. White paper, Index, Cisco Visual Networking.

  2. Ericsson. (2015). Ericsson mobility report, on the pulse of the networked society. Technical report, Ericsson.

  3. Andrews, J. G. (2013). Seven ways that HetNets are a cellular paradigm shift. IEEE Communications Magazine, 51(3), 136–144.

    Article  Google Scholar 

  4. Yeh, S. P., Talwar, S., Wu, G., Himayat, N., & Johnsson, K. (2011). Capacity and coverage enhancement in heterogeneous networks. IEEE Wireless Communications, 18(3), 32–38.

    Article  Google Scholar 

  5. Guvenc, I., Jeong, M.-R., Demirdogen, I., Kecicioglu, B., & Watanabe, F. (2011). Range expansion and inter-cell interference coordination (ICIC) for picocell networks. In Proceedings of the IEEE 74th vehicular technology conference (VTC Fall), pp. 1–6.

  6. Guvenc, I., & Kozat, U.C. (2009). Impact of spreading on the capacity of neighboring femtocells. In Proceedings of the IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1814–1818.

  7. Lopez-Perez, D., Chu, X., & Guvenc, I. (2012). On the expanded region of picocells in heterogeneous networks. IEEE Journal of Selected Topics in Signal Processing, 6(3), 281–294.

    Article  Google Scholar 

  8. Tian, P., Tian, H., Zhu, J., Chen, L., & She, X. (2011). An adaptive bias configuration strategy for range extension in LTE-advanced heterogeneous networks. In Proceedings of the international conference on communication technology and application, pp. 336–340.

  9. Al-Rawi, M. (2012). A dynamic approach for cell range expansion in interference coordinated LTE-advanced heterogeneous networks. In Proceedings of the IEEE international conference on communication systems, pp 533–537.

  10. Ye, Q., Rong, B., Chen, Y., Al-Shalash, M., Caramanis, C., & Andrews, J. G. (2013). User association for load balancing in heterogeneous cellular networks. IEEE Transactions on Wireless Communications, 12(6), 2706–2716.

    Article  Google Scholar 

  11. Kreuger, P., Gornerup, O., Gillblad, D., Lundborg, T., Corcoran, D., & Ermedahl, A. (2015). Autonomous load balancing of heterogeneous networks. In Proceedings of the IEEE 81st vehicular technology conference (VTC Spring), pp. 1–5.

  12. Feng, D., Jiang, C., Lim, G., Cimini, L. J, Jr., Feng, G., & Li, G. Y. (2013). A survey of energy-efficient wireless communications. IEEE Communications Surveys & Tutorials, 15(1), 167–178.

    Article  Google Scholar 

  13. Li, G. Y., Xu, Z., Xiong, C., Yang, C., Zhang, S., Chen, Y., et al. (2011). Energy-efficient wireless communications: Tutorial, survey, and open issues. IEEE Wireless Communications, 18(6), 28–35.

    Article  Google Scholar 

  14. Lee, Y. L., Chuah, T. C., Loo, J., & Vinel, A. (2014). Recent advances in radio resource management for heterogeneous LTE/LTE—A networks. IEEE Communications Surveys & Tutorials, 16(4), 2142–2180.

    Article  Google Scholar 

  15. Cordeschi, N., Amendola, D., Shojafar, M., & Baccarelli, E. (2015). Distributed and adaptive resource management in cloud-assisted cognitive radio vehicular networks with hard reliability guarantees. Vehicular Communications, 2(1), 1–12.

    Article  Google Scholar 

  16. Shojafar, M., Cordeschi, N., & Baccarelli, E. (2016). Energy-efficient adaptive resource management for real-time vehicular cloud services. IEEE Transactions on Cloud Computing, PP(99), 1–1.

    Google Scholar 

  17. Ahmadi, A., Shojafar, M., Hajeforosh, S. F., Dehghan, M., & Singhal, M. (2014). An efficient routing algorithm to preserve k-coverage in wireless sensor networks. The Journal of Supercomputing, 68(2), 599–623.

    Article  Google Scholar 

  18. Chand, P., Mahapatra, R., & Prakash, R. (2016). Energy efficient radio resource management for heterogeneous wireless network using CoMP. Wireless Networks, 22(4), 1093–1106.

    Article  Google Scholar 

  19. Mishra, S., Sengupta, A., & Siva Ram Murthy, C. (2013). Enhancing the performance of HetNets via linear regression estimation of range expansion bias. In Proceedings of the IEEE 19th international conference on networks (ICON), pp. 1–6.

  20. Dinnis, A. K., & Thompson, J. S. (2007). The effects of including wraparound when simulating cellular wireless systems with relaying. In Proceedings of the IEEE 65th vehicular technology conference (VTC-Spring), pp. 914–918.

  21. 3GPP. (2011). Universal mobile telecommunications system (UMTS): Physical layer measurements (FDD) (release-10). Technical specification 25.215, Third generation partnership project (3GPP).

  22. Lopez-Perez, D., Ladanyi, A., Juttner, A., Rivano, H., & Zhang, J. (2011). Optimization method for the joint allocation of modulation schemes, coding rates, resource blocks and power in self-organizing LTE networks. In Proceedings of the IEEE international conference on computer communications (INFOCOM), pp. 111–115.

  23. Auer, G., Giannini, V., Desset, C., Godor, I., Skillermark, P., Olsson, M., et al. (2011). How much energy is needed to run a wireless network? IEEE Wireless Communications, 18(5), 40–49.

    Article  Google Scholar 

  24. Doppler, K., Yu, C. H., Ribeiro, C. B., & Janis, P. (2010). Mode selection for device-to-device communication underlaying an LTE-Advanced network. In 2010 IEEE wireless communication and networking conference (WCNC), pp. 1–6.

  25. Fujishige, S. (2005). Submodular functions and optimization (2nd ed., Vol. 58). Amsterdam: Elsevier.

    MATH  Google Scholar 

  26. MATLAB. (2010). version 7.10.0 (R2010a). The MathWorks Inc., Natick, MA.

  27. 3GPP. (2010). (E-UTRA): Further advancements for E-UTRA physical layer aspects (Release-9). Technical specification 36.814, third generation partnership project (3GPP).

Download references

Acknowledgements

This work was supported by the Department of Science and Technology (DST), New Delhi, India. The authors would also like to thank Rahul Thakur and the anonymous reviewers for their valuable comments and suggestions.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India

    Sudeepta Mishra & C. Siva Ram Murthy

Authors
  1. Sudeepta Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. C. Siva Ram Murthy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sudeepta Mishra.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mishra, S., Murthy, C.S.R. Efficient coverage management of pico cells in HetNets via spectrum slicing, cell biasing, and transmit power spreading. Wireless Netw 24, 3099–3112 (2018). https://doi.org/10.1007/s11276-017-1525-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-017-1525-y

Keywords

Search

Navigation