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21.4.2018 : 22:54

Workpackage 3 - Radio Environment Mapping and Sensing

The WP leader is David Depierre of Thales.

This workpackage has two main components. One dealing with characterization and modelling of the radio environment for the use cases defined in WP1. The second related with the development and evaluation of algorithms that are needed to acquire, or infer the radio context with the aim to exploit this information, in real time communications. Two main areas will be researched, the first being the characterization and modelling of the radio environment, in this activity will provide a means to collect and describe a priori knowledge of the radio environment that can be used in the planning of the network and design of the modules and algorithms. The second area is the acquisition of Radio context; this includes investigations into approaches for real-time processing and representation of the relevant radio parameters and of auxiliary information that is needed in cognitive networks to take decisions on the most appropriate operational parameters.

The QoSMOS mechanisms will operate in a highly dynamic environment, primary users may be active or in-active over both time and frequency use, and secondary users may exploit the opportunities when they occur. Likewise, in bands where ”pure” cognitive operation is permitted, cognitive nodes compete about temporal or frequency opportunities. Thus forming in both cases a highly dynamic environment in which a priori knowledge and accurate models for the propagation channel are needed to be able to react to possible changes and rapidly implement for the design and deployment phases of the cognitive cycle. A cognitive radio system will be either overlay or will be defined to facilitate interference avoidance but in any case it will be reactive to the radio environment, and the definition of the communication parameters for a given established link will depend on the radio environment at a given time/location/frequency usage pattern.



This WP will provide means and mechanisms to characterize the radio environments of the various types of equipment involved in the use cases defined. The workpackage will aim to develop the approaches that are required to process the available radio environment information fragments and to acquire and describe the radio environment context.

The main objectives of this WP include:

• To develop models of the radio environment provided by the TVWS and other bands that provide opportunities for building up a spectrum portfolio. 

• To define and evaluate a protocol stack for the sensing components within cognitive radio networks and for the exchange of sensing information between cognitive nodes.

• To propose and evaluate algorithms for the acquisition and exchange of radio environment context via the designed protocol stack.