Signal processing and wireless networks

Abstract

Summary form only given. A major issue in today's wireless world is the dramatic increase in demand for new capacity and higher performance of wireless networks. The development of these capabilities is limited severely by the scarcity of two of the principal resources in wireless networks, namely energy and bandwidth. Consequently, the community has turned to a third principal resource, the addition of intelligence throughout the network, in order to exploit increases in processing power afforded by Moore's law type improvements in microelectronics. This talk focuses on two aspects of this phenomenon: the effects of advanced node-level signal processing on the higher-layer performance of wireless communication networks, including energy efficiency, spectral efficiency, throughput and delay; and the use of advanced signal processing principles, including collaborative beam-forming, sensor scheduling, and distributed learning, in the design, deployment and operation of wireless sensor networks.