Enabling signal processing techniques for cognitive wireless transceivers

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Fourth-generation (4G) wireless communications are expected to deliver very high transmission rates to or from mobile terminals over different multi-carrier and multi-antenna air-interfaces in a seamless and versatile fashion, no matter what the surrounding environment, link conditions and network topologies are. This stringent requirement calls for developing new "cognitive" transceivers that swiftly and optimally adapt to variable operating conditions such as changes in multi-carrier and/or multi-antenna air-interface configuration, mobility, traffic location and/or load, propagation characteristics, and/or topology in mobile ad hoc networks (MANETs) in particular. This research project is directed at developing enhanced signal processing techniques as powerful tools for the efficient design of such new "cognitive" transceivers. These transceivers would not only provide the self-adaptation capability required by future wireless technologies to optimally operate in variable transmission conditions, but will also offer transparent migration between different radio interfaces and network topologies, all available form then on at low hardware cost on a unique wireless terminal. They would bring extremely efficient solutions to the tremendous challenges posed by future deployment of 4G such as designing multi-mode terminals and allowing transceiver software radio reconfiguration by software downloads over the air. From this perspective, they could have a major impact on future deployment of 4G by simplifying both the design of the terminals and the discovery/selection of the wireless system among the many that will be offered simultaneously to the user.