Determination of the stability behavior of a queueing network is an important part of analyzing such systems. In Gamarnik and Hasenbein (2005) it is shown if a fluid network has t...
Abstract— In this paper, we analyze the throughput of interconnection networks, viewed as multi-stage queueing networks with infinite input queues, but finite internal cross-st...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Abstract— This paper considers jointly optimal design of crosslayer congestion control, routing and scheduling for ad hoc wireless networks. We first formulate the rate constrai...
Lijun Chen, Steven H. Low, Mung Chiang, John C. Do...
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...