Wireless technologies, such as IEEE 802.11, provide for multiple channels. However, wireless interfaces have limited capability, allowing each host to use only a small number of channels at any time. The focus of this talk is on the use of multiple channels within a single wireless network, despite limited interface capabilities. Based on asymptotic capacity results for constrained and unconstrained channel assignment models, we show that substantial performance benefit can be obtained by suitably allocating the channel resources across the hosts. The talk will also discuss theoretical results, insights on protocol design, as well as issues in practical implementation of multi-channel wireless networks.
Nitin Vaidya received the Ph.D. from the University of Massachusetts at Amherst. He is a Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC), where he previously served as the Director of the Illinois Center for Wireless Systems (ICWS). He has held visiting positions at the Thomson Paris Research Lab, TU-Berlin, Indian Institute of Technology-Bombay, Microsoft Research, and Sun Microsystems, as well as a faculty position at the Texas A&M University. He co-authored papers that received awards at the 2007 ACM MobiHoc, 1998 ACM MobiCom, 2003 Personal Wireless Communications (PWC), and 2010 ICDCN conferences. Nitin Vaidya is a recipient of a CAREER award from the U.S. National Science Foundation. He has served as Editor-in-Chief for the IEEE Transactions on Mobile Computing, and Editor-in-Chief for ACM SIGMOBILE publication MC2R. He is presently serving as the General Chair for the joint 2010 ACM MobiCom-MobiHoc event. Nitin is a Fellow of the IEEE.
Content delivery over wireless networks has many known pitfalls. For one, discovery of available content by end users is sometimes cumbersome, with users either having to utilize search engines with various results or traversing through content catalogs that may or may not be logically organized. In addition, content delivery is subject to available throughput over the wireless channel, oftentimes resulting in less interactivity between the user and the content service. Recommender systems can alleviate both of these problems. Recommender systems have found wide adoption in many online commercial services such as Amazon and Netflix. In this talk, the application of recommender systems to mobile content delivery as means of improving discovery and interactivity is discussed.
Dr. Giridhar D. Mandyam is Vice President of Technology, Qualcomm Internet Services, San Diego, California. Born in Dallas, Texas, Dr. Mandyam received the BSEE degree (Magna Cum Laude) from Southern Methodist University in 1989, the MSEE degree from the University of Southern California in 1993, and the PhD EE degree from the University of New Mexico in 1996. At SMU he was a University Scholar and Hyer Society Scholar. While at USC he was a Teaching Assistant in the Signal and Image Processing Institute, and at UNM he studied under a NASA Fellowship. From 1989 to 1994, Dr. Mandyam held positions with Rockwell International and Qualcomm Inc. He worked at Texas Instruments from 1996 – 1998, and at Nokia from 1998 – 2006. While at Nokia, he held a number of research and management positions, including Head of the Nokia Research Center cite in San Diego, and Chief Technologist for North America. Dr. Mandyam is inventor or co-inventor of over 20 issued patents. He has also published over 70 conference and journal papers, and 4 book chapters. He is a co-author of the text Third-Generation CDMA Systems for Enhanced Data Services (Academic Press, 2002). He is presently a member of the editorial board of the IEEE Transactions on Wireless Communications. Dr. Mandyam is a Senior Member of the IEEE.