Cellular clouds

This paper progresses an analysis of what it means to be a cellular network operator and what form the ownership and control of future cellular networks may take. Alternative modes of ownership may allow for the creation of more flexible cellular networking environments in which competition for packages of resources, that is, the licenced spectrum, the RAN and core network, ensures that the most efficient and innovative architectures, services and applications are delivered to the consumer. This paper develops the concept of the Cellular Network Cloud and Utility Cellular Networking as a means to explore the possibilities for such revolution in the way in which cellular networks are owned and operated. Changes to current industry practices which would help to meet the objectives of more flexible and competitive network ownership and control are proposed.

[1]  Randy H. Katz,et al.  Above the Clouds: A Berkeley View of Cloud Computing , 2009 .

[2]  Robert L. Grossman,et al.  The Case for Cloud Computing , 2009, IT Professional.

[3]  Herbert Hovenkamp.  Unilateral Refusals to Deal, Vertical Integration, and the Essential Facility Doctrine , 2008 .

[4]  Andrea Renda,et al.  Competition-regulation interface in telecommunications: What's left of the essential facility doctrine , 2010 .

[5]  Rachel Botsman,et al.  What's Mine Is Yours: The Rise of Collaborative Consumption , 2010 .

[6]  Nancy Jesuale,et al.  Lights and sirens broadband — How spectrum pooling, cognitive radio, and dynamic prioritization modeling can empower emergency communications, restore sanity and save billions , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[7]  KimByung Woon,et al.  Economic analysis of the introduction of the MVNO system and its major implications for optimal policy decisions in Korea , 2007 .

[8]  Rao Mikkilineni,et al.  Cloud Computing and the Lessons from the Past , 2009, 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises.

[9]  Hoon Kim,et al.  Joint Resource Allocation for Parallel Multi-Radio Access in Heterogeneous Wireless Networks , 2010, IEEE Transactions on Wireless Communications.

[10]  Mladen A. Vouk,et al.  Cloud Computing – Issues, Research and Implementations , 2008, CIT 2008.

[11]  C E Caicedo,et al.  The viability of spectrum trading markets , 2011, IEEE Communications Magazine.

[12]  Linda E. Doyle,et al.  Essentials of Cognitive Radio: Contents , 2009 .

[13]  Je Agar,et al.  Constant Touch: a Global History of the Mobile Phone , 2004 .

[14]  Rajen Akalu.  Why there have been so few spectrum trades in the UK: lessons for Europe , 2010 .

[15]  Milind M. Buddhikot,et al.  DIMSUMnet: new directions in wireless networking using coordinated dynamic spectrum , 2005, Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks.

[16]  John W. Mayo,et al.  Enabling efficient wireless communications: The role of secondary spectrum markets , 2010, Inf. Econ. Policy.

[17]  Byung Woon Kim,et al.  Economic analysis of the introduction of the MVNO system and its major implications for optimal policy decisions in Korea , 2007 .

[18]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[19]  Irene Macaluso,et al.  Exclusive sharing & virtualization of the cellular network , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[20]  Jianfeng Wang,et al.  Emerging cognitive radio applications: A survey , 2011, IEEE Communications Magazine.

[21]  Martha Joynt Kumar.  The Office of Communications , 2001 .

[22]  Keiko Tanaka.  The Mobile Communications Environment in the European Union: Systems, Regulations, and Consequences in the Past, Present, and Future , 2001 .

[23]  Preben E. Mogensen,et al.  Autonomous Component Carrier Selection for 4G Femtocells — A Fresh Look at an Old Problem , 2012, IEEE Journal on Selected Areas in Communications.