In this paper, we consider the effects on network capacity when the nodes of an ad hoc network are allowed to cooperate. These results are then compared to the theoretical upper b...
In this paper we present a novel and fast estimation technique that produces tight latency lower bounds for Data Flow Graphs representing time critical segments of the application...
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
A new outer bound on the capacity region of Gaussian interference channels is developed. The bound combines and improves existing genie-aided methods and is shown to give the sum-r...
In this paper, we show that any n point metric space can be embedded into a distribution over dominating tree metrics such that the expected stretch of any edge is O(log n). This ...