We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
— We consider feed-forward packet switched networks with fixed routing and random congestion losses. Users of the network are assumed to be greedy in the sense that each user in...
This paper presents a novel analytical model and an efficient admission control algorithm for IEEE 802.11 DCF access mechanism. In contrast to the previous approaches that only ana...
—We extend the modeling heuristic of [1] to evaluate the performance of an IEEE 802.11e infrastructure network carrying packet telephone calls, streaming video sessions and TCP c...
his report presents a survey of the traffic management issues in the design and implementation of satellite-ATM networks. First a reference satellite-ATM network architecture is pr...
R. Goyal, R. Jain, M. Goyal, S. Fahmy, and B. Vand...