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Wireless Personal Communications

, Volume 55, Issue 3, pp 305–323 | Cite as

Planning and Deployment of WiMAX Networks

  • Pedro Sebastião
  • Fernando José VelezEmail author
  • Rui Costa
  • Daniel Robalo
  • António Rodrigues
Article

Abstract

Incorporation of measurement based techniques in Worldwide Interoperability for Microwave Access (WiMAX) are required to improve IEEE 802.16 engineering methodologies. Wireless planning methodologies are presented, supported by a planning tool which facilitates the design and implementation of WiMAX networks. Propagation models available for WiMAX still need to be tuned and further validated. By comparing IEEE 802.16-2004 measurement results at 3.5 GHz with computed values using the modified Friis and the Stanford University Interim (SUI) models, for a suburban area, we found that the use of the modified Friis equation with a propagation exponent ~3 is more appropriate than the use of the SUI model, although, for coverage distances between 275 and 475 m, the SUI-B and mainly SUI-C models may still be used. From the analysis of the carrier-to-noise-plus-interference ratio, it is clear that both noise and interference present a strong limitation to the cellular reuse performance of fixed WiMAX mainly for higher order modulation and coding schemes. With a reuse pattern K = 7, cell throughputs near the maximum are only achieved in the uplink if sub-channelisation is used together with sectorization. The planning tool provides planners with practical and useful information through quick coverage/capacity based procedures, and outputs the number and position of the base stations and an estimation of the total cost of implementation, based on data provided by different equipment manufacturers. WiMAX cellular planning exercises are presented for the zone of Covilhã, Portugal, where Geographic Information Systems are used for representation of rural and sparse urban areas. One of the main conclusions is the strong need to use sector antennas in order to guarantee an adequate coverage, and higher system capacity whilst mitigating interference for several terrain types and environments, including hilly terrain.

Keywords

Network communications Mobile communication systems Public networks Wireless communication 

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References

  1. 1.
    Liu H., Li G. (2005) OFDM-based broadband wireless networks—design and optimization. Wiley, Hoboken, New Jersey, USACrossRefGoogle Scholar
  2. 2.
    IEEE. (2009). IEEE standard for local and metropolitan area networks—part 16: Air interface for fixed broadband wireless access systems. New York, NY, USA: IEEE Std 802.16-2009 (Revision of IEEE Std 802.16-2004), IEEE.Google Scholar
  3. 3.
    IEEE. (2006). IEEE standard for local and metropolitan area networks—Part 16: Air interface for fixed and mobile broadband wireless access systems—amendment 2: Physical and medium access control layers for combined fixed and mobile operation in licensed bands and corrigendum 1. New York, NY, USA: IEEE Std 802.16e-2005 and IEEE Std 802.16-2004/Cor 1-2005 (Amendment and Corrigendum to IEEE Std 802.16-2004), IEEE.Google Scholar
  4. 4.
    Tomé, R., Lourenço, P., Grilo, A., Cercas, F. C., Rodrigues, A. J., Velez, F. J., et al. (2005). A WLAN planning tool with a practical approach. In Proceedings of International Symposium on Wireless Personal Multimedia Communications WPMC (Vol. 2, pp. 1286–1290). Denmark: Aalborg.Google Scholar
  5. 5.
    IEEE. (1999). Part II: Wireless LAN media access control (MAC) and physical layer (PHY) specifications. New York, NY, USA: IEEE Std 802.11-1999, IEEE.Google Scholar
  6. 6.
    Fragoso, J. G., & Tejada, G. M. G. (2005). Cell planning based on the WiMax standard for home access: A practical case. In Proceeding of 2nd ICEEE and XI CIE 2005 (pp. 89–92). Mexico.Google Scholar
  7. 7.
    Ibraihim, A. H., Ismail, M., Kiong, T., & Mastan, Z. (2005). Development of software planning tools for an-intelligent traffic light wireless communication link using 5.8 GHz WLAN. In Proceeding of 2005 Asia-Pacific Conference on Applied Electromagnetics (pp. 378–382). Malaysia: Johor.Google Scholar
  8. 8.
    Ruiz S., Samper Y., Pèrez J., Agusti R., Olmos J. (1998) Software tool for optimising indoor/outdoor coverage in a construction site. Electronics Letters 34(22): 2100–2101CrossRefGoogle Scholar
  9. 9.
    Wertz P., Sauter M., Wölfle G., Hoppe R., & Landstorfer F. (2004). Automatic optimization algorithms for the planning of wireless local area networks. In Proceeding of VTC 2004-Fall, IEEE 60th Vehicular Technology Conference 2004-Fall-Wireless Technologies for Global Security (pp. 3010–3014). Los Angeles, CA, USA.Google Scholar
  10. 10.
    Anderson H. R. (2003) Fixed broadband wireless systems design. Wiley, Chichester, West Sussex, UKCrossRefGoogle Scholar
  11. 11.
    Erceg V. et al (1999) An empirically based path loss model for wireless channels in suburban environments. IEEE Journal of Selected Areas in Communications 17(7): 1205–1211CrossRefGoogle Scholar
  12. 12.
    IEEE 802.16 Working Group. (2001). Channels models for fixed wireless applications. Document 802.16.3c-01/29r4.Google Scholar
  13. 13.
    Hari, K. (2000). Interim channel models for G2 MMDS fixed wireless applications. Tampa, USA: IEEE 802 plenary meeting.Google Scholar
  14. 14.
    Wahl, R., Stäbler, O., & Wölfle, G. (2007). Propagation model and network simulator for stationary and nomadic WiMAX networks. In Proceeding of IEEE VTC 2007 Fall-IEEE 66th Vehicular Technology Conference. Baltimore, MD, USA.Google Scholar
  15. 15.
    Rappaport T. S. (2002) Wireless communications: Principles and practice. Prentice Hall, Upper Saddle River, NJ, USAGoogle Scholar
  16. 16.
    Moldkar, D. (1991). Review on radio propagation into and within buildings. In Proceeding of IEE Microwaves, Antennas and Propagation, (Vol. 138, No.1, pp. 61–73).Google Scholar
  17. 17.
    Panagopoulos A. D., Arapoglou P.-D. M., Kanellopoulos J. D., Cottis P. G. (2007) Intercell radio interference studies in broadband wireless access networks. IEEE Transactions on Vehicular Technology 56(1): 3–12CrossRefGoogle Scholar
  18. 18.
    Sari H. (2001) A multimode CDMA with reduced intercell interference for broadband wireless networks. IEEE Journal on Selected Areas in Communications 19(7): 1316–1323CrossRefGoogle Scholar
  19. 19.
    Bauer G., Bose R., Jakoby R. (2005) Three-dimensional interference investigations for LMDS networks using an urban database. IEEE Transactions on Antennas and Propagation 53(8): 2464–2470CrossRefGoogle Scholar
  20. 20.
    Velez F. J., Correia L. M., Brázio J. M. (2001) Frequency reuse and system capacity in mobile broadband systems: Comparison between the 40 and 60 GHz bands. Wireless Personal Communications 19(1): 1–24CrossRefGoogle Scholar
  21. 21.
    Velez, F. J., Carvalho, V., Santos, D., Marcos, R. P., Costa, R., Sebastião, P., et al. (2005). Planning of an IEEE 802.16e network for emergency and safety services. In Proceeding of 3G 2005-6th IEE International Conference on 3G Mobile Communication Technologies (pp. 507–511). London, UK.Google Scholar
  22. 22.

Copyright information

© Springer Science+Business Media, LLC. 2009

Authors and Affiliations

  • Pedro Sebastião
    • 1
  • Fernando José Velez
    • 2
    • 3
    Email author
  • Rui Costa
    • 2
  • Daniel Robalo
    • 2
  • António Rodrigues
    • 4
  1. 1.Instituto de Telecomunicações/Lisbon University Institute-ISCTE/Instituto Superior TécnicoLisboaPortugal
  2. 2.Instituto de Telecomunicações-Department of Electromechanical EngineeringUniversidade da Beira InteriorCovilhãPortugal
  3. 3.Centre for Telecommunications ResearchKing’s College LondonLondonUK
  4. 4.Instituto de Telecomunicações/Instituto Superior TécnicoLisboaPortugal

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