Abstract:
The popularity of wireless networks is increasing rapidly, and as a result traffic load on these networks is also increasing. Wireless networks have limited resources in terms of bandwidth and power. Moreover, the wireless channel suffers from location dependent and time-varying fading that results in variations in feasible transmission rate across users and time. Also, on account of broadcast nature of the wireless medium, not all users can access the available bandwidth simultaneously. Hence, a smart cross layer scheduling is paramount for a wireless network to feasibly support the ever increasing demand.
In this set of lectures, our aim is to explore in detail the challenges involved in optimizing the performance of wireless networks, and subsequently understand the proposed solutions. Primarily, we will consider the following performance measures—throughput, utility, operational costs like transmission power, and delay.
One of the most valuable tools for analyzing and even for designing optimal schemes is Lyapunov theory. Optimal schemes for all the performance measures mentioned above can be obtained using Lyapunov theory; this also demonstrates the utility and versatility of this analysis technique. Moreover, this technique can be used in many systems other than wireless networks.
Speaker Bio:
Prasanna Chaporkar received the B.E. degree in electronics fromWalchand College of Engineering, Sangli, India, in 1996, the M.S. degree in engineering from the Indian Institute of Science, Bangalore, in 2000, and the Ph.D. degree from the Department of Electrical and Systems Engineering at the University of Pennsylvania, Philadelphia, in 2005. He was a Postdoctoral Fellow at TREC, INRIA, Paris, France. He has been with the Department of Electrical Engineering, IIT Bombay since 2005 where he is now an Assistant Professor. His research interests are in resource allocation in communication networks, stochastic control, and queueing theory.