6 citations · 10 across the 6 of their papers we have counts for
6 papers
Backward and Forward Inference in Interacting Independent-Cascade Processes: A Scalable and Convergent Message-Passing Approach
Nouman Khan, Kangle Mu, Mehrdad Moharrami +1
We study the problems of estimating the past and future evolutions of two diffusion processes that spread concurrently on a network. Specifically, given a known network $G=(V, \ove…
Cooperative Multi-Agent Constrained POMDPs: Strong Duality and Primal-Dual Reinforcement Learning with Approximate Information States
Nouman Khan, Vijay Subramanian
We study the problem of decentralized constrained POMDPs in a team-setting where the multiple non-strategic agents have asymmetric information. Strong duality is established for th…
Nonlinear Consensus for Distributed Optimization
Hsu Kao, Vijay Subramanian
Distributed optimization algorithms have been studied extensively in the literature; however, underlying most algorithms is a linear consensus scheme, i.e. averaging variables from…
The Impact of Small-Cell Bandwidth Requirements on Strategic Operators
Cheng Chen, Randall A. Berry, Michael L. Honig +1
Small-cell deployment in licensed and unlicensed spectrum is considered to be one of the key approaches to cope with the ongoing wireless data demand explosion. Compared to traditi…
Convexity Conditions for 802.11 WLANs
Vijay G. Subramanian, Douglas J. Leith
In this paper we characterise the maximal convex subsets of the (non-convex) rate region in 802.11 WLANs. In addition to being of intrinsic interest as a fundamental property of 80…
Max-min Fairness in 802.11 Mesh Networks
Douglas J. Leith, Qizhi Cao, Vijay G. Subramanian
In this paper we build upon the recent observation that the 802.11 rate region is log-convex and, for the first time, characterise max-min fair rate allocations for a large class o…