Modeling Cognitive Radio Equipments for Opportunistic Spectrum Access

Abstract : Radio equipments' design is getting more and more complex. The reason is that a radio equipment is no more a single purpose device but also combines several processing devices, states and operation modes. Radio processing is done by a set of electronic circuits, the operations of which are not only wired and hardly pre-defined. They are more and more managed and configured by some software control. This implies a design complexity in terms of span of possible use cases, and makes it more difficult to guaranty a perfect operation in any context. However, current state is just the premise of a future generalization of software and hardware mix. We usually refer to Cognitive Radio (CR) when speaking about future highly flexible and auto-adaptable radio devices [1][2]. Cognitive Radio is a general statement to speak about radio devices that would adapt in real-time to any aspect of their environment, so that they can perfectly match their operation to the current environment state and in function of the current needs [2]. We propose in this presentation to describe a design approach for future cognitive radio equipments in order to ease such equipments' design. The example of an Opportunistic Spectrum Access (OSA) scenario [3] will be detailed in order to produce a real demonstration as a proof-of-concept using USRP platforms [4]. A Model Driven Architecture (MDA) [5] approach is proposed for the design of Cognitive Radio (CR) equipments. MDA consists in describing a system at different levels of abstraction, from a high level abstraction representation (often graphical) downto the code to be executed into a specific platform (made of pieces of hardware - e.g. executed on ASICs or FPGAs - and software - e.g. executed on DSPs or GPPs -). This approach for CR is equivalent to define a universal language that any designer in the community may understand in order to design CR devices. Associated to this language, a design environment is proposed in order to provide the adequate tools to design the models at each level of abstraction relatively to CR design needs. This work is based on our previous work on HDCRAM. [1] J. Mitola, "Cognitive Radio" " Licentiate proposal, KTH, Stockholm, Sweden, Dec. 1998. [2] J. Palicot, ""Radio Enineering: From Software radio to Cognitive Radio"", Wiley 2011; ISBN: 978-1-84821-296-1 [3] Q. Zhao, A. Swami, ""A Survey of Dynamic Spectrum Access: Signal Processing and Networking Perspectives"", in IEEE ICASSP: special session on Signal Processing and Networking for Dynamic Spectrum Access, April, 2007 [4] Ettus Research "Products" - accessed 02/04/2012 http://www.ettus.com/products [5] OMG, Object Management Group, ""MDA Guide Version 1.0.1"", http://www.omg.org/docs/omg/03-06-01.pdf, June 2003 [6] L. Godard, C. Moy, J. Palicot, ""An Executable Meta-Model of a Hierarchical and Distributed Architecture Management for the Design of Cognitive Radio Equipments"", Annals of Telecommunications special issue on Cognitive Radio, vol. 64, pp.463-482, n°7-8, Aug. 2009 "
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Oussama Lazrak, Christophe Moy, Pierre Leray. Modeling Cognitive Radio Equipments for Opportunistic Spectrum Access. Wireless Innovation Forum European Conference on Communications Technologies and Software Defined Radio 2013, Jun 2013, Munich, Germany. ⟨hal-00840115⟩

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