CODIPHY: composing on-demand intelligent physical layers

Authors:
Aveek Dutta;Dola Saha;Dirk Grunwald;Douglas Sicker
Affiliations:
University of Colorado Boulder, Boulder, USA;University of Colorado Boulder, Boulder, USA;University of Colorado Boulder, Boulder, USA;University of Colorado Boulder, Boulder, USA
Venue:
Proceedings of the second workshop on Software radio implementation forum
Year:
2013

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Abstract

In this paper we present CODIPHY or Composing On-Demand Intelligent Physical Layers that aims to solve two fundamental problems in practical cognitive radio networks: Collaboration between two radio physical layers (PHY) with varying capabilities to agree on a common communication protocol and provide a method to compose a functioning software defined radio (SDR) from a set of pre-compiled libraries. Both solutions use an ontology based description of the internal structure of the radio subsystems and use the high-level dataflow represented by the ontology to target heterogeneous platforms. CODIPHY isolates the various domains of radio engineering but still allows them to share domain knowledge to achieve a common goal of radio adaptation. Automating this process through declarative specification and collaborative learning is the goal of this paper. We present a generic methodology to facilitate the concept of CODIPHY and present examples from the radio PHY domain.