Understanding Dynamic Spectrum Access: Models,Taxonomy and Challenges

In last few years, especially after release of the FCC Spectrum Policy Task Force (SPTF)'s seminal report in 2002, we have witnessed growing interest in the field of Dynamic Spectrum Access (DSA) networks. Terms such as reconfigurable networks, Software Defined Radios (SDRs), Cognitive Radios and Cognitive Radio Networks (CRNs) have gained common use. Radio spectrum is a multidimensional entity; space, time, polarization, frequency, power of signal transmission and interference are some of the key dimensions. The static, command- and-control management of spectrum has led to barriers to accessing the spectrum in various dimensions. The notion of dynamic spectrum access can break these barriers in one or more of the dimensions. A review of published research in the technology, policy and legal facets of this broad area indicates that the community is addressing this problem from multitude of angles. In fact, we believe the situation is analogous to story of seven blind men attempting to describe an elephant based on what they perceive when they touch various parts of the elephant. As such, we contend that unless a clear taxonomy of various ways of dynamic access is developed, significant confusion can prevail within the community dealing with these new ways. This paper tries to rectify this situation. It aims to develop a clear taxonomy of various forms of DSA networks, describe in detail various models and identify required technology capabilities, architectural innovations and policy changes.

[1]  Jeffrey Hugh Reed.  Introduction to ultra wideband communication systems, an , 2005 .

[2]  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.

[3]  Shane Greenstein,et al.  Promoting Efficient Use of Spectrum Through Elimination of Barriers to the Development of Secondary Markets , 2001 .

[4]  R.W. Brodersen,et al.  Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[5]  W. Lehr,et al.  Managing shared access to a spectrum commons , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[6]  J. Mitola,et al.  Cognitive radio for flexible mobile multimedia communications , 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384).

[7]  M.M. Buddhikot,et al.  A case for coordinated dynamic spectrum access in cellular networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[8]  Elias Aravantinos,et al.  A new pricing model for next generation spectrum access , 2005, TAPAS '06.

[9]  Garrett Hardin,et al.  Extensions of "The Tragedy of the Commons" , 1998, Science.

[10]  M. Marcus,et al.  Real time spectrum markets and interruptible spectrum: new concepts of spectrum use enabled by cognitive radio , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[11]  Jerry Brito,et al.  The Spectrum Commons in Theory and Practice , 2006 .

[12]  Yochai Benkler,et al.  Overcoming Agoraphobia: Building the Commons of the Digitally Networked Environment , 2002 .

[13]  Elias Aravantinos.  A New Pricing Model for Next Generation Spectrum Access , 2005 .

[14]  M. Buddhikot,et al.  Spectrum management in coordinated dynamic spectrum access based cellular networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[15]  G. Hardin,et al.  The Tragedy of the Commons , 1968, Green Planet Blues.

[16]  Barbara van Schewick,et al.  A Real Time Cognitive Radio Testbed for Physical and Network level Experiments , 2005 .