Events Calendar

Distributed Interference Management and Scheduling in LTE-A Wireless Femto Networks

Speaker: Ritesh Madan, Qualcomm, NJ

Talk Title: Distributed Interference Management and Scheduling in LTE-A Wireless Femto Networks

Abstract: Femto base stations deployed at homes and offices offer cell-splitting gains and better coverage, and can help improve the performance of mobile applications. However, Femto networks are unplanned; moreover, they may operate in closed subscriber group (CSG) mode where only a few specific mobiles are allowed to connect to a given Femto base station. Such a deployment can lead to high interference; thus distributed interference management techniques become essential. Moreover, since only a few (or just one) mobiles may be connected to a Femto base station, the aggregated load in each cell can vary quickly with time. Thus, the scheduling and resource allocation across cells needs to be at a fast time scale and coordinated. In addition, it is desirable to keep the control overhead and latency for this coordination to be low.

In this talk, we focus on the design of distributed scheduling and interference management algorithms with very low overhead. We describe a framework for distributed scheduling across multiple Femto cells where a limited amount of information is exchanged between interfering links. Specifically, each transmitter has a limited knowledge of the buffer and channel states in its neighborhood. In this framework, we design a scheduling heuristic to achieve rate fairness across cells for best effort applications (e.g., FTP), and at the same time obtain low latency for delay sensitive applications (e.g., voice, real time video). The heuristic is motivated by the maximum weight scheduling algorithm in wireless networks. We discuss the impact of coordination delay on the mechanism and algorithm design.


Biography: Ritesh Madan received a Ph.D. in 2006 and a M.S. in 2003 from Stanford University, and a B.Tech from the Indian Institute of Technology (IIT) Bombay in 2001, all in Electrical Engineering. At Stanford, he was a recipient of the Sequoia Capital Stanford Graduate Fellowship. He is currently at Corporate R&D in Qualcomm, NJ. His research interests include methods for resource allocation in wireless networks, stochastic control, and optimization.

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539

Audiences: Everyone Is Invited

Contact: Gerrielyn Ramos