State of the Art Business Performance Evaluation of Advanced

Abstract

This commodity 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 i.0 Gbps per single user. During the cess from techno-economic perspective, in addition to the level of the user demand, we also accept into account the wall penetration losses, density of existing/new base station sites and the recent improvements in cost of the hierarchical prison 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 across), 5G cellular systems deployed in the millimeter-wave (mmW) bands and loftier-capacity wireless local area network (WLAN) standards like IEEE 802.11ac/advertisement. In order to compare the achievable profit margins of various network architectures, through all-encompassing network dimensioning for the dense-urban environment and considering the full network cost in nowadays value, we decide the cost-efficient capacity expansion strategies for the mobile network operators by means of proper relation of the production price 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, tin can be a guarantee for the business sustainability of outdoor operations. For the highly enervating office environments the virtually price-efficient solutions are the pico 5G mmW systems placed inside the buildings together with the IEEE 802.11ad enabled access points. The infrastructure price is most elastic to a subtract of the unit of measurement cost per macro and micro base of operations stations from one side and the capacity and coverage increment of the 5G and WLAN systems form other side. In the cases of the capacity over-provisioning, nosotros determine the principles to provide guaranteed quality of service in terms of data rates to particular number of users.

References

  1. Akdeniz, G. R., Liu, Y., Sun, S., Rangan, S., Rappaport, T. Southward., & Erkip, E. (2013). Millimeter wave aqueduct modeling and cellular chapters 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 moving ridge 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, nine–thirteen June 2013 (pp. 5163–5167). doi:x.1109/ICC.2013.6655403.

  3. Rappaport, T. S., Dominicus, 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, one, 335–349. doi:ten.1109/Access.2013.2260813.

    Article  Google Scholar

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

    Article  Google Scholar

  5. Murdock, J. North., 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 Apr 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, three–4 May 2011 (pp. ane–6). doi:10.1109/SARNOF.2011.5876482.

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

  8. Johansson, K., Furuskar, A., Karlsson, P., & Zander, J. (2004). Relation between base of operations station characteristics and cost construction 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-Jump. 2005 IEEE 61st, 30 May–1 June 2005 (Vol. 5, pp. 2989–2993). doi:10.1109/VETECS.2005.1543895.

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

    Article  Google Scholar

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

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

  13. Frias, Z., & Pérez, J. (2012). Techno-economical assay 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 of operations 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 toll-capacity analysis. In 24th European regional briefing of the international telecommunication lodge, 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, Grand. 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. Thousand., et. al. (2010). Spectrum valuation derived from network deployment and strategic positioning with unlike 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, Certificate Number: ICT-317669-METIS/D1.1, 2013.

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

  21. Nikolikj, 5., & Janevski, T. (2014). Cost modeling of high-capacity LTE-Avant-garde and IEEE 802.11ac based heterogeneous networks, deployed in the 700 MHz, ii.6 GHz and v GHz bands. In Proceedings of MoWNet 2014, international briefing on selected topics in mobile and wireless networking, Rome, Italy, September viii–9, Procedia Informatics, Elsevier 2014 (Vol. 40, pp. 49–56). doi:x.1016/j.procs.2014.ten.030.

  22. Nikolikj, V. Janevski, T. (2014). A comparative cost-capacity modeling of wireless heterogeneous networks, implemented inside the 0.7 GHz, 2.6 GHz, v 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, Five., & Janevski, T. (2014). Applicable cost modeling of LTE-Avant-garde 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 Periodical on Advances in Telecommunication: 125–131, ISSN: 1942-260, ISBN: 978-i-61208-360-v.

  24. Nikolikj, Five., & Janevski, T. (2014). Cost modeling of avant-garde heterogeneous wireless networks under excessive user demand. In A. Mellouk, South. Fowler, Due south. 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-three-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, Kingdom of denmark, 11–fourteen May 2014 (pp. ane–five). doi:10.1109/VITAE.2014.6934472.

  26. Cisco (2014). Visual networking index: Global mobile information 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 written report. Analysis Mason. http://www.analysysmason.com/research/. Accessed ane Oct 2014.

  28. European Telecommunications Standards Establish (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 Telecommunication Standards Constitute. 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 one October 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 Periodical, xiv(6), 760–771.

    Article  Google Scholar

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

  32. Perahia, Eastward., & Gong, G. 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 Bailiwick of 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.

Download references

Author data

Affiliations

Corresponding writer

Correspondence to Vladimir Nikolikj.

About this article

Verify currency and authenticity via CrossMark

Cite this article

Nikolikj, 5., Janevski, T. Land-of-the-Art Business Performance Evaluation of the Avant-garde 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

Download citation

  • Published:

  • Issue Date:

  • DOI : https://doi.org/10.1007/s11277-015-2491-2

Keywords

  • 5G Millimeter wave
  • Toll-chapters operation
  • Cost-efficiency modeling
  • Cost elasticity
  • IEEE 802.11ac/advertisement
  • LTE-Avant-garde
  • Profit margin

carrillosillon.blogspot.com

Source: https://link.springer.com/article/10.1007/s11277-015-2491-2

0 Response to "State of the Art Business Performance Evaluation of Advanced"

Post a Comment

Iklan Atas Artikel

Iklan Tengah Artikel 1

Iklan Tengah Artikel 2

Iklan Bawah Artikel