Cartography for Cognitive Radio Networks

Georgios Giannakis

University of Minnesota

Abstract

Spectrum sensing is a critical prerequisite in envisioned applications of wireless cognitive radio (CR) networks, which promise to resolve the perceived bandwidth scarcity versus under-utilization dilemma. This talk presents recent advances for comprehensive situation awareness at the PHY of CR networks by capitalizing on the novel notion of spatio-temporal RF cartography, which amounts to constructing two families of maps: (m1) global power spectral density maps capturing the distribution of power across space, time, and frequency; and (m2) local channel gain maps providing the propagation medium per frequency from each node to any point in space and time. Paralleling the success of routing tables, the vision is to have CR nodes jointly utilize these maps so as to enable: (v1) identification of opportunistically available spectrum bands for re-use, and handoff operation; (v2) localization, transmit-power estimation, and tracking of primary user activities; and (v3) interference control, resource allocation, and routing. If time allows, distributed implementations of CR sensing will be presented too, along with dynamic network-level cartography.

Biography

G. B.  Giannakis (IEEE Fellow'97) received his Diploma in Electrical Engr. from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engr., 1986. Since 1999 he has been a professor with the Univ. of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications in the ECE Department, and serves as director of the Digital Technology Center.

His general interests span the areas of communications, networking and statistical signal processing - subjects on which he has published two edited books, two research monographs, 20 book chapters, 325 journal and 525 conference papers (H-index=98; top in SP Society). Current research focuses on compressive sampling, cognitive radios, cross-layer designs, wireless sensors, social and power grid networks.  He is the (co-) inventor of  21 patents issued, and the (co-) recipient of 8 best paper awards from the IEEE Signal Processing (SP) and Communications Societies, including the G. Marconi Prize Paper Award in Wireless Communications. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), a Young Faculty Teaching Award, and the G. W. Taylor Award for Distinguished Research from the University of Minnesota. He is a Fellow of EURASIP, and has served the IEEE in a number of posts, including that of a Distinguished Lecturer for the IEEE-SP Society.