An architecture for Cognitive Radio ad-hoc network nodes

Puschmann, André; Khan, Shah Nawaz; Mahdi, Ali H.; Kalil, Mohamed A.; Mitschele‐Thiel, Andreas

doi:10.1109/iscit.2012.6380929

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…This architecture consists of a Software-Defined Radio(SDR) based physical and MAC layer, a Cognitive Engine(CE) for run-time adaptations, the DRM component, and an inter-component control and data message exchange framework called Signalling and Communication Link (SCL). This architecture is a composition of practically realizable components in hardware and software, specifically for nodes operating in CR ad hoc networks [16]. The embedding of MAC and Physical layer functionality into the SDR domain is critical for run-time adaptations of certain parameters such as frequency, transmission power, etc.…”

Section: B the Drm Architecturementioning

confidence: 99%

“…The required physical layer functions and medium access techniques are implemented in software using IRIS components. The reader is encouraged to look into the details of our reconfigurable MAC & physical layer and CE implementation in [25] and [16]. All components of the DRM are developed in C++ with a GUI implemented in QT windowing library.…”

Section: A Practical Implementationmentioning

confidence: 99%

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Distributed Resource Map: A database-driven network support architecture for Cognitive Radio ad hoc networks

Khan

Kalil

Mitschele‐Thiel

2012

2012 IV International Congress on Ultra Modern Telecommunications and Control Systems

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Obtaining awareness of the operating environment is crucial to the successful operation of a Cognitive Radio (CR) network. In a multihop CR ad hoc network, aggregating knowledge about the external environment is a task which the CR nodes must perform based on their individual and collective capacity. In this paper, we introduce Distributed Resource Map (DRM), a framework for cooperation and knowledge aggregation in cognitive radio ad hoc networks. The DRM is a databasedriven knowledge base aimed at exploiting distributed sensing performed by heterogeneous CR nodes and inter-nodes cooperation to maintain a network-wide support architecture. The awareness obtained through DRM architecture is used to drive the learning and decision making functions of a Cognitive Engine (CE). We present the core concepts, the architectural components, underlying knowledge aggregation functions, and a summary of the validation and realization effort. The paper concludes with a planned experimental work for DRM.

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Section: B the Drm Architecturementioning

confidence: 99%

Section: A Practical Implementationmentioning

confidence: 99%