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dc.contributor.authorJayaweera, Sudharman
dc.contributor.authorChristodoulou, Christos
dc.date.accessioned2011-03-11T16:50:45Z
dc.date.available2011-03-11T16:50:45Z
dc.date.issued2011-03-11
dc.identifier.urihttp://hdl.handle.net/1928/12306
dc.description.abstractIn current literature, the definition of a cognitive radio (CR) seems to be different from one research community to another: For communication theorists it is about dynamic spectrum sharing (DSS), for hardware/RF engineers it is an upgrade of Software-defined Radio (SDR), for networking/IT researchers CR is a device capable of crosslayer optimizations and for computer scientists it is a device capable of machine learning. We put-forth a new unified vision for a future CR by defining it to be a radio that is capable of self-managing and self-reconfiguring in real-time to match its RF environment while continuously self-learning from its past experience. To avoid confusion, we call our futuristic radios as Radiobots: They are the radio devices equivalence of robots in mechanical engineering or Autobots in sci-fi movies. While every Radiobot will necessarily be a CR, none of the CRs found in current literature can be considered as a Radiobot. We emphasize that our proposed Radiobots are not aimed just at achieving DSS. Indeed, they are expected to have all of the following capabilities: (1.) autonomous operation (2.) spectrum coexistence/efficiency including DSS, (3.) inter-operability in heterogeneous RF network environments (4.) multi-mode operability (i.e. simultaneous operation over multiple modes/networks), and (5.) power efficient green communications. The Radiobots are supposed to autonomously find and join/avoid any radio networks in their vicinity to achieve their performance objectives. In this technical report we present a system level architecture of a future Radiobot device, cognitive algorithms critical for its operation and the need for real-time reconfigurable hardware and antennas.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesEECE;EECE-TR-11-0001
dc.subjectCognitive radio, software-defined radio, dynamic spectrum sensing, radiobot, green communications, FPGA, reconfigurable antennasen_US
dc.titleRadiobots: Architecture, Algorithms and Realtime Reconfigurable Antenna Designs for Autonomous, Self-learning Future Cognitive Radiosen_US
dc.typeTechnical Reporten_US
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