This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
—A methodology is presented for integrating effective-bandwidth-based routing for QoS-sensitive traffic and datagram routing of the best-effort traffic. To prevent excessive dela...
— In this paper, we consider beamforming with finite– rate feedback for frequency–selective channels with decisionfeedback equalization (DFE) at the receiver. Using average ...
Yang-wen Liang, Robert Schober, Wolfgang H. Gersta...