Multipoint communication by hierarchically encoded data
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 3)
SODA: A Low-power Architecture For Software Radio
Proceedings of the 33rd annual international symposium on Computer Architecture
Deterministic parallel processing
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Architecture of the Scalable Communications Core
NOCS '07 Proceedings of the First International Symposium on Networks-on-Chip
Superposition coding for wireless mesh networks
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A software defined approach for common baseband processing
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Learning to share: narrowband-friendly wideband networks
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
An intelligent physical layer for cognitive radio networks
Proceedings of the 4th Annual International Conference on Wireless Internet
Sora: high performance software radio using general purpose multi-core processors
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
SMACK: a SMart ACKnowledgment scheme for broadcast messages in wireless networks
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OFDM for cognitive radio: merits and challenges
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Preamble design for non-contiguous spectrum usage in cognitive radio networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Supporting demanding wireless applications with frequency-agile radios
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Practical implementation of blind synchronization in NC-OFDM based cognitive radio networks
Proceedings of the 2010 ACM workshop on Cognitive radio networks
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As we move forward towards the next generation of wireless protocols, the push for a better radio physical layer is ever increasing. Conventional radio architectures are limited to narrow operating regions and fails to adapt with changing technology. This is further strengthened with the advent of cognitive radio, which needs a more versatile and flexible framework that is programmable within the timing constraints of a protocol. In this paper we present an architecture for Software Defined Cognitive Radio that caters to the specific baseband processing requirements in a changing environment. We aim to provide more flexibility by de-constructing the radio pipeline into a framework of user controlled kernels that can be reconfigured at run-time. This architecture provides the bare-bones of a OFDM based radio physical layer that can adapt to perform a varied number of tasks in different radio networks. We also present a novel message based real-time reconfiguration method to transmit and receive a wide range of waveforms used in concurrent wireless protocols.