Value system evolution towards a Cognitive Radio era: Implications of underlying market dynamics

This paper explores the possibilities of how the value system around wireless networks could be organized in the future and what would be the underlying market dynamics given the introduction of Cognitive Radio and Dynamic Spectrum Access technologies. Using a combination of systems thinking tools and platform theory four value system configurations around the future radio platform are introduced and the corresponding underlying dynamics are characterized. Based on this a feedback model using system dynamics and agent based modeling is built, configured with historical market data and used to evaluate future evolution possibilities both for GSM based mobile cellular and Wi-Fi based wireless local area radio platform paths. The results show how the value system could continue on established evolution paths but also how it could transition to a so called complex adaptive system. Furthermore, for policy makers, the results point out threats of winner-takes-all and fragmentation type of scenarios, and highlight the possible importance of aligning the underlying market dynamics with the natural allocation and assignment cycle of spectrum frequency bands.

[1]  Thomas R. Casey,et al.  Flexible spectrum management for mobile broadband services: How does it vary across advanced and emerging markets? , 2013 .

[2]  M. Porter TECHNOLOGY AND COMPETITIVE ADVANTAGE , 1985 .

[3]  John M. Chapin,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - The Path to Market Success for Dynamic Spectrum Access Technology , 2007, IEEE Communications Magazine.

[4]  M. Tushman,et al.  Technological Discontinuities and Dominant Designs: A Cyclical Model of Technological Change , 1990 .

[5]  Albert-László Barabási,et al.  Scale-free networks , 2008, Scholarpedia.

[6]  Arturas Medeisis,et al.  High-level scenarios for the future of cognitive radio business , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Thomas R. Casey Analysis of Radio Spectrum Market Evolution Possibilities , 2009 .

[8]  Ari T. Manninen,et al.  Elaboration of NMT and GSM standards : from idea to market , 2002 .

[9]  P. Senge THE FIFTH DISCIPLINE , 1997 .

[10]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[11]  Øystein D. Fjeldstad,et al.  CONFIGURING VALUE FOR COMPETITIVE ADVANTAGE: ON CHAINS, SHOPS, AND NETWORKS , 1998 .

[12]  Friedhelm Hillebrand,et al.  GSM AND UMTS : THE CREATION OF GLOBAL MOBILE COMMUNICATION , 2009 .

[13]  A. Gawer,et al.  How Companies Become Platform Leaders , 2008 .

[14]  Takeshi Kitahara,et al.  Comparison of Mobile Internet Usage and Industry Structure: Japan vs.Finland , 2010 .

[15]  D. J. Kurpius,et al.  The Fifth Discipline: The Art and Practice of the Learning Organization: Book review. , 1993 .

[16]  Dan Steinbock,et al.  Globalization of wireless value system: from geographic to strategic advantages , 2003 .

[17]  Vinton G. Cerf,et al.  A brief history of the internet , 1999, CCRV.

[18]  Wolter Lemstra,et al.  The Innovation Journey of Wi-Fi: The Road to Global Success , 2010 .

[19]  Simone Strambach,et al.  Knowledge-Intensive Business Services (KIBS) as drivers of multilevel knowledge dynamics , 2008, Int. J. Serv. Technol. Manag..

[20]  Thomas R. Eisenmann,et al.  Strategies for Two Sided Markets , 2006 .

[21]  Timo Smura,et al.  Future Scenarios for Local Area Access: Industry Structure and Access Fragmentation , 2009, 2009 Eighth International Conference on Mobile Business.

[22]  Eric Wolstenholme,et al.  Using generic system archetypes to support thinking and modelling , 2004 .

[23]  M. Jacobides,et al.  Benefiting from Innovation: Value Creation, Value Appropriation and the Role of Industry Architectures , 2006 .

[24]  Gustavo Stubrich The Fifth Discipline: The Art and Practice of the Learning Organization , 1993 .

[25]  W. Arthur Positive feedbacks in the economy , 1990 .

[26]  M. Porter Competitive Advantage: Creating and Sustaining Superior Performance , 1985 .

[27]  J Swanson,et al.  Business Dynamics—Systems Thinking and Modeling for a Complex World , 2002, J. Oper. Res. Soc..

[28]  S. Strogatz Exploring complex networks , 2001, Nature.

[29]  Charles H. Fine CLOCKSPEED‐BASED STRATEGIES FOR SUPPLY CHAIN DESIGN1 , 2009 .

[30]  Pieter Ballon,et al.  Flexible spectrum and future business models for the mobile industry , 2009, Telematics Informatics.

[31]  Pieter Ballon,et al.  Classification of business scenarios for spectrum sensing , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[32]  N. Nohria,et al.  Are leaders portable? , 2006, Harvard business review.

[33]  Chris Anderson,et al.  The Long Tail: Why the Future of Business is Selling Less of More , 2006 .

[34]  Al Petrick,et al.  History of wireless local area networks (WLANs) in the unlicensed bands , 2009 .

[35]  Michalis Faloutsos,et al.  On power-law relationships of the Internet topology , 1999, SIGCOMM '99.

[36]  Friedhelm Hillebrand GSM and UMTS , 2001 .

[37]  Hazhir Rahmandad,et al.  Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models , 2004, Manag. Sci..

[38]  W. Arthur,et al.  Complexity and the economy , 2014, Science.