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Game Theory and the Interference Channel
| What |
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| When |
Nov 09, 2010 from 02:30 PM to 03:30 PM |
| Where | Engr IV Maxwell Room 57-124 |
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Amir Leshem
Bar-Ilan University, Ramat Gan, Israel
Tuesday, November 9, 2010 at 2:30pm
Engr IV Maxwell Room 57-124
Abstract
Wireless networks in the unlicensed bands are inherently interference limited. However in contrast to point to point communications, various networks operating in the same frequency band (e.g., multiple WLAN AP's) have conflicting goals, where each AP aims at maximizing its own throughtput, regardless of other users operating in the band. This is a game known as the interference game. In my talk I will discuss various solutions to spectrum coordination in interference limited networks. I will show the inefficiency of competitive solution and outline various approaches to overcome the well known Prisoner's dilemma. I will then discuss cooperative game theoretic solutions and show how to obtain distributed solutions through cross layer design.
Biography
Amir Leshem received the B.Sc. degree (cum laude) in mathematics and physics, the M.Sc. degree (cum laude) in mathematics, and the Ph.D. degree in mathematics, all from the Hebrew University, Jerusalem, Israel. He is one of the founders of the School of Electrical and Computer Engineering, Bar-Ilan University, Ramat Gan, Israel, where he is currently an associate professor and head of the signal processing track. In the period 2000-2003 he was director of advanced technologies in Metalink broadband where he was in charge of developing new technologies such as VDSL and wireless MIMO systems. In that capacity he was also involved in standards effort for VDSL, SHDSL, 802.11n and dynamic spectrum management for DSL networks. Prior to that he was with Delft University of Technology where he worked on signal processing techniques for communications and for radio astronomical imaging.
His main research interests include multichannel communication, applications of game theory to communication, array and statistical signal processing with applications to sensor arrays and networks, wireless communications, radio-astronomy and brain research, set theory, logic, and foundations of mathematics.
