CFP last date
22 April 2024
Reseach Article

An Efficient Cross-tier Interference Mitigation Technique in LTE Femtocell Environment

by A. Habib, Waseem Ullah Khan, Tahir Ullah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 49
Year of Publication: 2019
Authors: A. Habib, Waseem Ullah Khan, Tahir Ullah
10.5120/ijca2019919424

A. Habib, Waseem Ullah Khan, Tahir Ullah . An Efficient Cross-tier Interference Mitigation Technique in LTE Femtocell Environment. International Journal of Computer Applications. 178, 49 ( Sep 2019), 37-43. DOI=10.5120/ijca2019919424

@article{ 10.5120/ijca2019919424,
author = { A. Habib, Waseem Ullah Khan, Tahir Ullah },
title = { An Efficient Cross-tier Interference Mitigation Technique in LTE Femtocell Environment },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 49 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number49/30887-2019919424/ },
doi = { 10.5120/ijca2019919424 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:35.648214+05:30
%A A. Habib
%A Waseem Ullah Khan
%A Tahir Ullah
%T An Efficient Cross-tier Interference Mitigation Technique in LTE Femtocell Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 49
%P 37-43
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Demand for high speed, innovative and up‐to‐date technologies is always on the rise. In terms of capacity, cellular networks are near to their physical limit. But the expansion of data services still increasing exponentially. The shift from legacy computers to smartphones made things even more complex by introducing hungry applications demanding high data rates such as Web browsing, email, video sharing, social networking, online interactive games, and location-based services, etc. All such services and obviously future services are bandwidth hungry and can’t be bounded to certain areas only. To provide such services for outdoor users is not a significant issue but it becomes a challenging task for service providers to offer such services for indoor users. The strength of the signal is deteriorated quite significantly due to penetration-losses from different physical barriers including walls and floors. In order to meet the demand of providing good quality signal strength indoor, one of the most promising solutions provided by the 3rd Generation Partnership Project (3GPP) for improving capacity, speed and signal strength is the deployment of femtocell for future wireless networks. Femtocell has a small cell based architecture. It is a plug and play, fully featured, low-powered cellular base station residing indoors where usually a poor signals are received from outdoor base stations. However, their deployment brings many challenges. Interference management is one of them in case of their uncoordinated deployment in the coverage range of macro base stations. A femtocell based method with controlled power is designed and implemented to mitigate cross-tier downlink interference between the macro base station and femtocell users. In this paper, the feasible transmission power of femtocell is determined with respect to user locations in different scenarios and to achieve targeted signal-to-interference-plus-noise-ratio (SINR) values. Performance analysis in various scenarios of the proposed method is presented. The results of proposed scheme can improve system performance in terms of received signal strength.

References
  1. Ericsson official site, “Mobility Report,” 2018. [Online]. Available: https://www.ericsson.com/assets/local/mobility-report/documents/2018/ericsson-mobility-report-november-2018.pdf. [Accessed: 22-Apr-2019].
  2. Ericsson official site, “The future of mobile subscriptions,” 2018. [Online]. Available: https://www.ericsson.com/en/mobility-report/future-of-mobile-subscriptions. [Accessed: 23-Apr-2019].
  3. M. Al-Omari, A. R. Ramli, A. Sali, and R. S. Azmir, “Deployment of femtocell and its interference management approaches in LTE heterogeneous networks,” J. Theor. Appl. Inf. Technol., vol. 87, no. 1, pp. 54–79, 2016.
  4. A. L. Yusof, S. S. Salihin, N. Ya’acob, and M. T. Ali, “Performance analysis of handover strategy in Femtocell network,” J. Commun., vol. 8, no. 11, pp. 724–729, 2013.
  5. S. Palipana, Y. Zaki, U. Toseef, J. Chen, and C. Goerg, “Scalable and self-sustained algorithms for femto-cell interference mitigation,” Lect. Notes Inst. Comput. Sci. Soc. Telecommun. Eng. LNICST, vol. 141, pp. 3–17, 2015.
  6. K. Senel and M. Akar, “A fair downlink power control algorithm for femtocell networks,” IEEE Int. Conf. Control Autom. ICCA, vol. 2016-July, pp. 305–310, 2016.
  7. M. Susanto, D. Fauzia, Melvi, and S. Alam, “Downlink power control for interference management in femtocell-macrocell cellular communication network,” in 2017 15th International Conference on Quality in Research (QiR) : International Symposium on Electrical and Computer Engineering, 2017, pp. 479–484.
  8. T. U. Hassan, F. Gao, B. Jalal, and S. Arif, “Interference management in femtocells by the adaptive network sensing power control technique,” Futur. Internet, vol. 10, no. 4, 2018.
  9. D. Singhal, M. Kunapareddy, V. Chetlapalli, V. B. James, and N. Akhtar, “LTE-advanced: Handover interruption time analysis for IMT-A evaluation,” 2011 - Int. Conf. Signal Process. Commun. Comput. Netw. Technol. ICSCCN-2011, no. July, pp. 81–85, 2011.
  10. S. O. Aramide, B. Barakat, Y. Wang, S. Keates, and K. Arshad, “Generalized proportional fair (GPF) scheduler for LTE-A,” 2017 9th Comput. Sci. Electron. Eng. Conf. CEEC 2017 - Proc., no. 1, pp. 128–132, 2017.
Index Terms

Computer Science
Information Sciences

Keywords

3GPP SINR Downlink Data rate.