Energy Constrained Signal Processing, Communications, and Networking

Organizers: Qing Zhao, University of California at Davis; Lang Tong, Cornell University

The design of large-scale energy constrained network and system requires a multidisciplinary approach, and signal processing plays a critical role in achieving a unifying theory to guide a principled design of energy constrained wireless infrastructure. No longer can network layers be designed in isolation, and the role of signal processing be relegated to the two ends of the protocol stack -- establishing and maintaining links at the physical layer and efficient representation of information sources at the application layer.

The purpose of this special session is to bring together leading experts from various disciplines to explore the impact of signal processing on the overall network design. It will facilitate interaction among researchers with diverse background and interests and provide a timely forum for challenges and advances in energy constrained signal processing, communications, and networking. Topics covered in the proposed special session span energy efficient device design, sophisticated signal processing algorithms, as well as scheduling and routing protocols.

Overview lecture:
  Author: Brian M. Sadler, Army Research Laboratory
  Title: Critical Issues in Energy-Constrained Networks: Synchronization, Scheduling, and Acquisition

Regular lectures:

• Title: Architectures for Energy Aware UWB Communication
  Authors: Raul Blazquez, Brian Ginsburg, and Anantha Chandrakasan, MIT
• Title: Cross-layer Design using Cooperative MIMO for Energy Minimization
  Authors: Shuguang Cui and Andrea J. Goldsmith, Stanford University
• Title: Energy-Throughput Optimization for Wireless ARQ Protocol
  Authors: Naveen Aruselvan and Randall Berry, Northwestern University
• Title: A Multi-Armed Bandit Formulation for Energy Minimization in Sensor Networks
  Authors: Vikram Krishnamurthy, University of British Columbia
• Title: Energy Efficient Adaptive Routing for Ad Hoc Networks with Time-Varying Heterogeneous Traffic
  Authors: Qing Zhao, University of California at Davis; Lang Tong, Cornell University