R
Ravi R. Mazumdar
Researcher at University of Waterloo
Publications - 180
Citations - 6013
Ravi R. Mazumdar is an academic researcher from University of Waterloo. The author has contributed to research in topics: Wireless network & Scheduling (computing). The author has an hindex of 32, co-authored 178 publications receiving 5871 citations. Previous affiliations of Ravi R. Mazumdar include National Aerospace Laboratory & Université du Québec.
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Journal ArticleDOI
A game theoretic framework for bandwidth allocation and pricing in broadband networks
TL;DR: A game theoretic framework for bandwidth allocation for elastic services in high-speed networks based on the Nash bargaining solution from cooperative game theory that can be used to characterize a rate allocation and a pricing policy which takes into account users' budget in a fair way.
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A minimum cost heterogeneous sensor network with a lifetime constraint
TL;DR: A heterogeneous sensor network in which nodes are to be deployed over a unit area for the purpose of surveillance is considered, finding optimum node intensities and node energies that guarantee a lifetime of at least T units, while ensuring connectivity and coverage of the surveillance area with a high probability.
Proceedings ArticleDOI
On the complexity of scheduling in wireless networks
TL;DR: It is shown that under a setting with single-hop traffic and no rate control, the maximal scheduling policy can achieve a constant fraction of the capacity region for networks whose connectivity graph can be represented using one of the above classes of graphs.
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Delay and capacity trade-offs in mobile ad hoc networks: a global perspective
TL;DR: The nature of delay-capacity trade-off is related to the nature of node motion, thereby providing a better understanding of the delay- capacity relationship in ad hoc networks in comparison to earlier works.
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Non-convex optimization and rate control for multi-class services in the Internet
TL;DR: This paper investigates the problem of distributively allocating transmission data rates to users in the Internet and shows that a pricing-based mechanism that solves the dual formulation can be developed based on the theory of subdifferentials with the property that the prices "self-regulate" the users to access the resources based onThe net utility.