Radio Wave Propagation Model for Enhancing Wireless Coverage in Elevator of Buildings

  • Jamal FathiEmail author
  • Fahreddin Sadikoglu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1095)


The huge increase and the importance of smart phones, almost parallel with the modest technology cars. This daily growing in the numbers of mobile phones requires the increasing of the capacities of base stations in order to support the coverage area. All this, forces the manufacturers of mobile communications to rearrange the positions of base stations. This paper is studied the wave propagation loss inside the elevators, at the buildings of the Near East University (NEU) of Turkish Republic of North Cyprus. Moreover, several existing models were compared with proposed mathematical model; as much as these issues are solved according to the available locations of the base stations. Results show that proposed mathematical model is more accurate by comparison with published works.


Mathematical model Enhancement Splitters Base stations 


  1. 1.
    Zyad, N., Julius, D., Jamal, F.: A new algorithm to enhance radio wave propagation strength in dead spots for cellular mobile wifi downloads. 978-1-4577-1343-9/12. IEEE (2014)Google Scholar
  2. 2.
    Zyad, N., Juliusm, D., Jamal, F.: A new selected points to enhance radio wave propagation strength outside the coverage area of the mobile towers in the dead spots of cellular mobile wifi downloads. In: Long Island Section Systems, Applications and Technology Conference. IEEE (2015)Google Scholar
  3. 3.
    Zyad, F.N., Julius, D., Navarun, G., Rami, A.: New mathematical model for wireless signal path loss inside building. In: 14th International Symposium on Pervasive Systems, Algorithms and Networks, Long Island. USA (2017)Google Scholar
  4. 4.
    Jamal, F.A.B.: Estimating coverage of radio transmission into and within buildings for line of sight visibility between two points in terrain by linear prediction filter. In: Third Mosharaka International Conference on Communications, Signals and Coding. MIC-CSC, pp 1–5 (2009)Google Scholar
  5. 5.
    Jamal, F.: Improvement in strength of radio wave propagation outside the coverage area of the mobile towers for cellular mobile wifi. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds.) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing ICAFS. Advances in Intelligent Systems and Computing, vol 896, pp 464–471. Springer, Cham (2019)Google Scholar
  6. 6.
    Jamal, F.A.B., Firudin, Kh.M: Direction prediction assisted handover using the multilayer perception neural network to reduce the handover time delays in LTE networks. Procedia Comput. Sci. 120, 719–727 (2017)CrossRefGoogle Scholar
  7. 7.
    Abhay, A.V.S., Wassell, I.J., Crosby, D., Sellars, M.P.: Comparison of empirical propagation path loss models for fixed wireless access systems. BT Mobility Research Unit, Rigel House, Adastral Park, Ipswich IP5 3RE, UK, pp 1–5 (2004)Google Scholar
  8. 8.
    Bose, A., Chuan, H.F.: A practical path loss model for indoor wifi positioning enhancement, 1-4244-0983-7/07. IEEE (2007)Google Scholar
  9. 9.
    Miura, Y., Yasuhiro, O.D.A., Tokio, T.: Outdoor-To-Indoor propagation modeling with the identification of path passing through wall openings, Wireless Laboratories, NTT DoCoMo, Inc. 3-5 Hikari-no-oka, Yokosuka-shi, Kanagawa, 239-8536, Japan, 0-7803-7589-0/02. IEEE (2002)Google Scholar
  10. 10.
    Durgin, G., Theodore, S.R., Xu, H.: Measurements and models for radio path loss and penetration loss in and around homes and trees at 5.85 GHz. IEEE Trans. Commun. 46(11), 1484–1496 (1998)CrossRefGoogle Scholar
  11. 11.
    Iskandar, Shigeru, Sh.: Prediction of propagation path loss for stratospheric platforms mobile communications in urban site LOS/NLOS environment, pp. 5643–5648, 1-4244-0355-3/06. IEEE (2006)Google Scholar
  12. 12.
    Wolfle, G., René W., Pascal, W., Philipp, W: Dominant path prediction model for indoor and urban scenarios. AWE Communications GmbH, Otto-Lilienthal-Str. 36, 71034 Boeblingen, Germany (2003)Google Scholar
  13. 13.
    Stabler, O., Reiner, H., Gerd, W., Thomas, H., Timm, H.: Consideration of MIMO in the planning of LTE networks in urban and indoor scenarios. AWE Communications GmbH Otto-Lilienthal-Straße 36, 71034. Böblingen, Germany (2011)Google Scholar
  14. 14.
    Faruk, N., Ayeni, A.A., Adediran, Y.A.: Characterization of propagation path loss at VHF/UHF bands for Ilorin City, Nigeria. Nigerian J. Technol. (NIJOTECH) 32(2), 253–265 (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Near East UniversityNicosiaTurkey

Personalised recommendations