Deciding on Network Architecture for 3G Wireless Services

  • Hak Ju Kim
Part of the Contributions to Economics book series (CE)


The demand for high speed data services, such as multimedia and interactive information services, is increasing. Since such data services are a potential source of network service provider profit, third generation (3G) technology is being developed to support them. Further, this emerging wireless network technology will ultimately result in a much more complex network and service environment. With increasing technological complexity and uncertainty wireless network operators require more flexible network architectures to achieve and maintain competitive advantage. However, since the complete replacement of existing wireless network architecture is not practicable, technology choice in the migration of existing networks requires that carrier management examine options available as a strategic decision. To allow strategic analysis of the possible evolution of wireless networks and their architectures—innovation (ITh, Henderson and Clark 1990) and real options (RO, Dixit and Pindyck 1994) theory—are introduced. (1990) examine why some firms are able to leverage innovations. RO allows the linking of strategic planning and financial strategy by determining a value for an uncertain opportunity. Clearly, the potential exists to employ ITh to analyze wireless network technology evolution and architecture, and RO to support strategic decision-making. The principal motivation for this study is to develop a conceptual framework through which wireless network operators can support their strategic decisions concerning next generation network architecture. Accordingly, typical network architecture migration path alternatives, global systems for mobile communications (GSM) and code division multiple access (CDMA) based network scenarios, are examined using ITh. Strategic options for network migration as a means to manage wireless network architecture evolution based on the RO are also discussed.


Code Division Multiple Access Time Division Multiple Access Universal Mobile Telecommunication System General Packet Radio Service Radio Network Controller 
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  1. Black F, Scholes MS (1973) The pricing of options and corporate liabilities. Journal of Political Economy 81: 637–54CrossRefGoogle Scholar
  2. Carsello RD, Meidan R, Allpress S, O’Brien F, Tarallo JA, Ziesse N, Arunachalam A, Costa JM, Berruto E, Kirby RC, Maclatchy A, Watanabe F, Xia H (1997) IMT-2000 standards: Radio aspects. IEEE Personal Communications. August: 30–40Google Scholar
  3. Cox JC, Ross SA, Rubinstein M (1979) Option pricing: A simplified approach. Journal of Financial Economics 7: 229–63CrossRefGoogle Scholar
  4. Dixit A, Pindyck R (1994) Investment under uncertainty. Princeton University Press, PrincetonGoogle Scholar
  5. Dahlman E, Gudmundson B, Nilsson M, Sköld J (1998) UMTS/IMT-2000 Based on Wideband CDMA. IEEE Communications Magazine September, pp 70–80Google Scholar
  6. Dalai N (2001) A comparative study of UMTS (WCDMA) and cdma2000 networks. IEEE MetroCon, Fort Worth, September 19Google Scholar
  7. Dosi G (1982) Technological paradigms and technological trajectories. Research Policy 11: 147–62CrossRefGoogle Scholar
  8. Garg V, Rappaport TS (eds) (2001) Wireless network evolution: 2G to 3G. Pearson Education, New YorkGoogle Scholar
  9. Henderson R, Clark K (1990) Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms. Administrative Science Quarterly 35: 9–30CrossRefGoogle Scholar
  10. Nelson RR, Winter SG (1977) In search of useful theory of innovation. Research Policy 6: 36–76CrossRefGoogle Scholar
  11. Prasad R, Ojanpera T (1998) An overview of CDMA: Evolution toward wideband CDMA.Google Scholar
  12. IEEE Communication Surveys, Fourth Quarter. 1(1): 2–29Google Scholar
  13. Rappaport TS (2002) Wireless communications: Principles and practice, 2nd edn. Prentice-Hall, Englewood CliffsGoogle Scholar
  14. Qualcomm (2002) Economics of mobile wireless data. Qualcomm Incorporated, San DiegoGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Hak Ju Kim
    • 1
  1. 1.Department of Information Science and Telecommunications School of Information SciencesUniversity of PittsburghPittsburghUSA

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