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State-of-the-Art Business Performance Evaluation of the Advanced Wireless Heterogeneous Networks to be Deployed for the “TERA Age”

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Abstract

This article originally presents a conceptual model to assess the business performance of the future advanced wireless and mobile heterogeneous network aiming to preserve enormous broadband demand of the so called “TERA age” in which a monthly usage will be expressed in terabytes and average data rates of 1.0 Gbps per single user. During the assessment from techno-economic perspective, in addition to the level of the user demand, we also take into account the wall penetration losses, density of existing/new base station sites and the recent improvements in cost of the hierarchical cell structures. We consider a spectral efficiency relevant for the forthcoming advanced radio access technologies like: 4G LTE-Advanced or LTE-A (Long Term Evolution Release 10 and beyond), 5G cellular systems deployed in the millimeter-wave (mmW) bands and high-capacity wireless local area network (WLAN) standards like IEEE 802.11ac/ad. In order to compare the achievable profit margins of various network architectures, through extensive network dimensioning for the dense-urban environment and considering the total network cost in present value, we determine the cost-efficient capacity expansion strategies for the mobile network operators by means of proper relation of the production cost per transferred data to the revenues. The findings show that the future micro base stations equipped with 5G mmW radio access technology and WLAN equipped with IEEE 802.11ac access points, can be a guarantee for the business sustainability of outdoor operations. For the highly demanding office environments the most cost-efficient solutions are the pico 5G mmW systems placed inside the buildings together with the IEEE 802.11ad enabled access points. The infrastructure cost is most elastic to a decrease of the unit cost per macro and micro base stations from one side and the capacity and coverage increase of the 5G and WLAN systems form other side. In the cases of the capacity over-provisioning, we determine the principles to provide guaranteed quality of service in terms of data rates to particular number of users.

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References

  1. Akdeniz, M. R., Liu, Y., Sun, S., Rangan, S., Rappaport, T. S., & Erkip, E. (2013). Millimeter wave channel modeling and cellular capacity evaluation. IEEE Journal on Sel. Areas in Communications,. doi:10.1109/JSAC.2014.2328154.

    MATH  Google Scholar 

  2. Hang, Z., et al. (2013). Indoor 28 GHz millimeter wave cellular communication measurements for reflection and penetration loss in and around buildings in New York City. In 2013 IEEE international conference on communications (ICC), Budapest, 9–13 June 2013 (pp. 5163–5167). doi:10.1109/ICC.2013.6655403.

  3. Rappaport, T. S., Sun, S., Mayzus, R., Zhao, H., Azar, Y., Wang, K., et al. (2013). Millimeter wave mobile communications for 5G cellular: It will work! IEEE Access Journal, 1, 335–349. doi:10.1109/ACCESS.2013.2260813.

    Article  Google Scholar 

  4. Rangan, S., Rappaport, T., & Erkip, S. E. (2014). Millimeter wave cellular wireless networks: Potentials and challenges. Proceedings of the IEEE, 102(3), 366–385.

    Article  Google Scholar 

  5. Murdock, J. N., et al. (2012). A 38 GHz cellular outage study for an urban outdoor campus environment. In 2012 IEEE wireless communications and networking conference (WCNC), Shanghai, 1–4 April 2012 (pp. 3085–3090). doi: 10.1109/WCNC.2012.6214335.

  6. Khan, F., & Pi, Z. (2011). Millimeter-wave mobile broadband (MMB): Unleashing 3–300 GHz spectrum. In 2011 34th IEEE sarnoff symposium, Princeton, NJ, 3–4 May 2011 (pp. 1–6). doi:10.1109/SARNOF.2011.5876482.

  7. Johansson, K., (2007). Cost effective deployment strategies for heterogeneous wireless networks. In PhD Dissertation. The Royal Institute of Technology, Stockholm, 2007.

  8. Johansson, K., Furuskar, A., Karlsson, P., & Zander, J. (2004). Relation between base station characteristics and cost structure in cellular systems. In Proceedings of IEEE PMRC 2004.

  9. Johansson, K., & Furuskär, A. (2005). Cost efficient capacity expansion strategies using multi-access networks. In Vehicular technology conference, 2005. VTC 2005-Spring. 2005 IEEE 61st, 30 May–1 June 2005 (Vol. 5, pp. 2989–2993). doi:10.1109/VETECS.2005.1543895.

  10. Johansson, K., Zander, J., & Furuskär, A. (2007). Modelling the cost of heterogeneous wireless access networks. International Journal of Mobile Network Design and Innovation, 2(2), 58–66. doi:10.1504/IJMNDI.2007.013805.

    Article  Google Scholar 

  11. Markendahl, J., & Mäkitalo, Ö. (2010). A comparative study of deployment options, capacity and cost structure for macrocellular and femtocell networks. In 2010 IEEE 21st international symposium on personal, indoor and mobile radio communications workshops (PIMRC workshops), Istanbul, 26–30 Sept 2010 (pp. 145–150). doi:10.1109/PIMRCW.2010.5670351.

  12. Markendahl, J., (2011). Mobile network operators and cooperation. In PhD Dissertation. The Royal Institute of Technology, Stockholm, 2011.

  13. Frias, Z., & Pérez, J. (2012). Techno-economic analysis of femtocell deployment in long-term evolution networks. EURASIP Journal on Wireless Communications and Networking, 2012, 288.

    Article  Google Scholar 

  14. Mölleryd, B., Markendahl, J., & Mäkitalo, O. (2010). Mobile broadband expansion calls for more spectrum or base stations. In European regional ITS conference, Copenhagen, 13–15 September 2010.

  15. Popescu, R., Ghanbari, A., & Markendahl, J. (2013). Complementing macrocell deficits with either smallcells or Wi-Fi-willingness to choose based on the cost-capacity analysis. In 24th European regional conference of the international telecommunication society, Florence, Italy, 20–23 October 2013.

  16. Markendahl, J., et al. (2009). Business innovation strategies to reduce the revenue gap for wireless broadband services. Journal Communications and Strategies, 75, 35.

    Google Scholar 

  17. Kang, D. H., Sung, K. W., & Zander, J. (2012) Cost efficient high capacity indoor wireless access: Denser Wi-Fi or coordinated pico-cellular? Cornell University Library. http://arxiv.org/abs/1211.4392.

  18. Mölleryd, B. G., et. al. (2010). Spectrum valuation derived from network deployment and strategic positioning with different levels of spectrum in 800 MHz. In ITS bi-annual conference, Tokyo June, 2010.

  19. METIS Project (2013). Scenarios, requirements and KPIs for 5G mobile and wireless system, Document Number: ICT-317669-METIS/D1.1, 2013.

  20. Report ITU-R M.2135-1. (2009). Guidelines for evaluation of radio interface technologies for IMT-Advanced.

  21. Nikolikj, V., & Janevski, T. (2014). Cost modeling of high-capacity LTE-Advanced and IEEE 802.11ac based heterogeneous networks, deployed in the 700 MHz, 2.6 GHz and 5 GHz bands. In Proceedings of MoWNet 2014, international conference on selected topics in mobile and wireless networking, Rome, Italy, September 8–9, Procedia Computer Science, Elsevier 2014 (Vol. 40, pp. 49–56). doi:10.1016/j.procs.2014.10.030.

  22. Nikolikj, V. Janevski, T. (2014). A comparative cost-capacity modeling of wireless heterogeneous networks, implemented within the 0.7 GHz, 2.6 GHz, 5 GHz and 28 GHz bands. In Proceedings of 2014 IEEE international conference on ultra-wideband (ICUWB), Paris, France, September 1–3, 2014 (pp. 489–494). doi:10.1109/ICUWB.2014.6959031.

  23. Nikolikj, V., & Janevski, T. (2014). Applicable cost modeling of LTE-Advanced and IEEE 802.11ac based heterogeneous wireless access networks. In Proceedings of AICT 2014, the 10th advanced international conference on telecommunications, Paris, France, July 20–24, 2014. Published in IARIA, 2014 International Journal on Advances in Telecommunications: 125–131, ISSN: 1942-260, ISBN: 978-1-61208-360-5.

  24. Nikolikj, V., & Janevski, T. (2014). Cost modeling of advanced heterogeneous wireless networks under excessive user demand. In A. Mellouk, S. Fowler, S. Hoceini, & B. Daachi (Eds.), Proceedings of wired/wireless internet communications—12th international conference, WWIC 2014, Paris, France, May 26-28, LNCS 8458 (pp. 68–81). Springer 2014, ISBN 978-3-319-13173-3, 2014.

  25. Nikolikj, V., & Janevski, T. (2014). State-of-the-art comparative cost modeling of heavily-loaded wireless heterogeneous networks. In Proceedings of 2014 4th international conference on wireless communications, vehicular technology, information theory and aerospace & electronic systems (VITAE), Aalborg, Denmark, 11–14 May 2014 (pp. 1–5). doi:10.1109/VITAE.2014.6934472.

  26. Cisco (2014). Visual networking index: Global mobile data traffic forecast update, 2013–2018. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/ip-ngn-ip-next-generation-network/white_paper_c11-481360.html. Accessed 1 Oct 2014.

  27. Norman, T. (2010). Wireless network traffic 2010–2015: Forecasts and analysis. Research forecast report. Analysis Mason. http://www.analysysmason.com/research/. Accessed 1 Oct 2014.

  28. European Telecommunications Standards Institute (2011). LTE; Requirements for further advancements for Evolved Universal Terrestrial Radio Access (E-UTRA) (LTE-Advanced) (3GPP TR 36.913 version 10.0.0 Release 10). Technical Report. European Telecommunications Standards Institute. ETSI TR 136 913 V10.0.0 (2011–04). http://www.etsi.org/deliver/etsi_tr\136900_136999\136913\10.00.00_60\tr_136913v100000p.pdf. Accessed 1 Oct 2014.

  29. Xiao, Y. (2005). IEEE 802.11n: Enhancements for higher throughput in wireless LANs. IEEE Wireless Communications Journal, 12(6), 82–91.

    Article  Google Scholar 

  30. Wang, C., & Wei, H. (2009). IEEE 802.11n MAC enhancement and performance evaluation. Mobile Networks and Applications Journal, 14(6), 760–771.

    Article  Google Scholar 

  31. Cisco. (2014). 802.11ac: The 5th Generation of Wi-Fi. Cisco, 2014.

  32. Perahia, E., & Gong, M. X. (2011). Gigabit wireless LANs: An overview of IEEE 802.11ac and 802.11ad. Mobile Computing and Communications Review, 15(3), 23–33.

  33. Blennerud, G. (2009). Don’t worry—Mobile broadband is profitable. Ericsson Business Review, 2, 2009.

    Google Scholar 

  34. Motorola. (2011). Proven-carier grade Wi-Fi solutions. Motorola, 2011.

  35. Pindyck, R., & Rubinfeld, D. (2009). Microeconomics (7th ed.). New Jersey: Prentice Hall.

    Google Scholar 

  36. ZTE (2013). APT 700 MHz best choice for nationwide coverage. ZTE.

  37. Leijon, H. (2014) Extract from the table of the Eralng B formula. ITU. Retrieved October 1, 2014 from https://www.kth.se/social/upload/4fd8a33ff276547747000031/erlangt.pdf.

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Nikolikj, V., Janevski, T. State-of-the-Art Business Performance Evaluation of the Advanced Wireless Heterogeneous Networks to be Deployed for the “TERA Age”. Wireless Pers Commun 84, 2241–2270 (2015). https://doi.org/10.1007/s11277-015-2491-2

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