KaydedilenlerDerginizi ekleyin

Dergiler / Sakarya University Journal of Science / 2026 / Volume: 22 Issue: 4

A Power Control Algorithm (PCA) and Software Tool for Femtocells in LTE-A Networks

Sajjad Ahmad Khan(Kocaeli University)0000-0002-0787-1357
Muhammad Asshad(Kocaeli University)0000-0003-4998-5579
Kerem Küçük(Kocaeli University)0000-0002-2621-634X
Adnan Kavak0000-0001-5694-8042
Sayfa
—
Yayın Tarihi
2018-08-01
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

A simulation is used to investigate and find out the nearest cell to UE in a HetNet.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The heterogeneous network (HetNets) emerge as one of the most auspicious improvements toward realizing the objective specifications of Long Term Evolution-Advanced (LTE-A) networks.
📊
Temel Bulgular & Veri:Though, similar all other wireless networks, HetNet also yield from the interference problems, i.e., the co-tier and cross-tier interferences.
💡
Sonuç & Katkı:A simulation is used to investigate and find out the nearest cell to UE in a HetNet.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:LTE-A · HetNets · HeNB

Abstract

The heterogeneous network (HetNets) emerge as one of the most auspicious improvements toward realizing the objective specifications of Long Term Evolution-Advanced (LTE-A) networks. Though, similar all other wireless networks, HetNet also yield from the interference problems, i.e., the co-tier and cross-tier interferences. Regarding proper functionality and efficiency of the HetNets, the avoidance and management of the said interferences are very crucial. In this study, a power control algorithm is suggested to decrease the interferences disadvantages in the HetNets. To calculate the signal power, the SINR (Signal to Interference and Noise Ratio) and RSRP (Reference Signal Received Power) are used for downlink and uplink respectively. The selection decision is taken by signal strength information. The UE (User Equipment) is switched accordingly. A simulation is used to investigate and find out the nearest cell to UE in a HetNet.

🔖

Bu Makaleye Atıf Yap

Khan, S. A., Asshad, M., Küçük, K., Kavak, A. (2018). A Power Control Algorithm (PCA) and Software Tool for Femtocells in LTE-A Networks. Sakarya University Journal of Science, Volume: 22 Issue: 4. https://doi.org/10.16984/saufenbilder.373293

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (18)

  1. Ericsson Mobility Report, link https://www.ericsson.com/en/5g
  2. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016–2021.
  3. M. Yuan and X. Cheng, "Analysis of Cell Capacity in FDD-LTE Network," 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing, Shanghai, China, 2012, pp. 1-4.
  4. H. ElSawy, E. Hossain, and D. I. Kim, "HetNets with small cognitive cells: User offloading and Distributed channel allocation techniques," IEEE Commun. Magazine, vol. 51, no. 6, June 2013.
  5. Y. W. Blankenship, "Achieving high capacity with small cells in LTE-A," 2012 50th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2012, pp. 1680-1687.
  6. 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2 (Release 13). 3GPP TS 36.300.
  7. 3GPP TS 25.467. UTRAN architecture for 3G Home NodeB. Technical report, 3rd Generation Partnership Project, 2009.
  8. V. Chandrasekhar and J. G. Andrews, "Spectrum allocation in two-tier networks," 2008 42nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2008, pp. 1583-1587.
  9. Y. Xu, H. Xia, Z. Zeng, T. Zhang, and Y. Liu, “Performance of macro-pico heterogeneous networks based on LTE-advanced,” 15th IEEE International Conference on Communication Technology pp. 298–303, IEEE, Guilin, China, November 2013.
  10. S. Sun, M. Kadoch, and T. Ran, “Adaptive SON and cognitive smart LPN for 5G heterogeneous networks,” Mobile Networks and Applications, vol. 20, no. 6, pp. 745–755, 2015.
  11. The LTE-A System Specification Documents. At 3GPP 36.14 "The LTE-A System Specifications.
  12. D. Larsson, "Analysis of channel estimation methods for OFDMA," Master of Science Thesis, Stockholm, Sweden, 2006-12-19.
  13. R. Y. Kim, J. S. Kwak and K. Etemad, "WiMAX femtocell: requirements, challenges, and solutions," IEEE Communications Magazine, vol. 47, no. 9, pp. 84-91, September 2009.
  14. İ. Demirdöḡen, İ. Güvenç, H. Arslan, "Capacity of closed-access femtocell networks with dynamic spectrum reuse", Personal Indoor and Mobile Radio Communications (PIMRC) 2010 IEEE 21st International Symposium on, pp. 1315-1320, 2010.
  15. C. Bouras and G. Diles, "Sleep mode performance gains in 5G femtocell clusters," 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Lisbon, 2016, pp. 141-146.
  16. D. López-Pérez, A. Valcarce, A. Ladányi, G. de la Roche, J. Zhang, “Intracell Handover for Interference and Handover Mitigation in OFDMA Two-Tier Macrocell-Femtocell Networks”, EURASIP Journal on Wireless Communications and Networking, 2010(1), p.142629.
  17. G. Gur, S. Bayhan and F. Alagoz, "Cognitive femtocell networks: an overlay architecture for localized dynamic spectrum access [Dynamic Spectrum Management]," in IEEE Wireless Communications, vol. 17, no. 4, pp. 62-70, August 2010.
  18. S. Rezvy, S. Rahman, A. Lasebae, J. Loo, "On demand-based frequency allocation to mitigate interference in Femto-Macro LTE cellular network", Future Generation Communication Technology (FGCT) 2013 Second International Conference on, pp. 213-218, 2013.