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Prediction Methods for Long Term Evolution (LTE) Advanced Network at 2.4 GHz, 2.6 GHz and 3.5 GHz

Published on November 2012 by Chhaya Dalela
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National Conference on Communication Technologies & its impact on Next Generation Computing 2012
Foundation of Computer Science USA
CTNGC - Number 2
November 2012
Authors: Chhaya Dalela
43bd7d7d-d853-431f-97bc-af18faf80206

Chhaya Dalela . Prediction Methods for Long Term Evolution (LTE) Advanced Network at 2.4 GHz, 2.6 GHz and 3.5 GHz. National Conference on Communication Technologies & its impact on Next Generation Computing 2012. CTNGC, 2 (November 2012), 9-13.

@article{
author = { Chhaya Dalela },
title = { Prediction Methods for Long Term Evolution (LTE) Advanced Network at 2.4 GHz, 2.6 GHz and 3.5 GHz },
journal = { National Conference on Communication Technologies & its impact on Next Generation Computing 2012 },
issue_date = { November 2012 },
volume = { CTNGC },
number = { 2 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 9-13 },
numpages = 5,
url = { /proceedings/ctngc/number2/9055-1015/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%A Chhaya Dalela
%T Prediction Methods for Long Term Evolution (LTE) Advanced Network at 2.4 GHz, 2.6 GHz and 3.5 GHz
%J National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%@ 0975-8887
%V CTNGC
%N 2
%P 9-13
%D 2012
%I International Journal of Computer Applications
Abstract

In this paper, a comprehensive review of the propagation prediction models for LTE Advanced is presented and computation of path loss for different terrains rural, dense urban, suburban and open terrain has been carried using MATLAB based simulations for various prediction techniques such as COST-231 Hata model, COST Walfish-Ikegami method, SUI model and Egli model for broadband and mobile services. The paper studies the path loss models of the wideband channels at 2. 3GHz, 2. 6GHz and 3. 5 GHz for the LTE-Advanced Network.

References
  1. Stefan Parkvall, Erik Dahlman, Anders Furuskär et al; Ericsson, Robert Syputa, Maravedis. 2008. ITU global standard for international mobile telecommunications ´IMT-Advanced´; LTE Advanced - Evolving LTE towards IMT-Advanced; Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th 21-24 Page(s):1 - 5.
  2. LTE an Introduction. 2009. White paper, Ericsson AB.
  3. Stefania Sesia, Issam Toufik, and Matthew Baker. 2009. LTE - The UMTS Long Term Evolution- from Theory to Practice. John Wiley & Sons, ISBN 978-0-470-69716-0.
  4. Borko Furht, Syed A. Ahson. 2009. Long Term Evolution: 3GPP LTE Radio and Cellular Technology, Crc Press, 2009, ISBN 978-1-4200- 7210-5.
  5. J. D. Parsons. 1998. The Mobile Radio Propagation Channel. NewYork: Wiley.
  6. J. J. Egli,. 1957. Radio Propagation above 40 Mc Over Irregular Terrain. Proc. IRE, pp. 1383-1391.
  7. V. Erceg et al. . 2001. Channelmodels for fixed wireless applications, IEEE 802. 16 Broadband Wireless Access Working Group.
  8. Okumura, Y. , Ohmori, E. , Kawano, T. and Fukuda, K. 1968. Field strength and its variability in the VHF and UHF land mobile service, Review Electronic Communication Laboratories, 16(9/10), pp. 825–873.
  9. M. Hata. 1981. Empirical formula for propagation loss in land mobile radio services. IEEE Transactions on Vehicular Technology, vol. VT-29, pp. 317–325.
  10. COST Action 231. 1999. Digital mobile radio. Towards future generation systems—Final report" European Communities, Tech. rep. EUR 18957, Ch. 4.
  11. Ikegami, F. , Yoshida, S. , Tacheuchi, T. and Umehira, M. . 1984. Propagation Factors controlling Mean Field Strength on Urban Streets", IEEE Trans. , AP32(8), 822-9.
  12. V. Abhayawardhana, I. Wassell, D. Crosby,M. Sellars, and M. Brown. 2005. Comparison of empirical
  13. propagation pathloss models for fixed wireless access systems," in Proc. IEEE Veh. Technol. Conf. , Stockholm, Sweden, vol. 1, pp. 73–77.
  14. Mardeni, R, T. Siva Priya. 2010. Optimize Cost231 Hata models for Wi-MAX path loss prediction in Suburban and open urban Environments", Canadian Center of Science and Education, vol. 4, no 9, pp. 75-89
Index Terms

Computer Science
Information Sciences

Keywords

Lte Path Loss Propagation Models