Age Debt: A General Framework For Minimizing Age of Information

Wednesday, April 21, 2021 - 4:00pm to 4:30pm

Event Calendar Category

LIDS & Stats Tea

Speaker Name

Vishrant Tripathi



Zoom meeting id

944 2674 7317

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We consider the problem of minimizing age of information in general single-hop and multihop wireless networks. First, we formulate a way to convert AoI optimization problems into equivalent network stability problems. Then, we propose a heuristic low complexity approach for achieving stability that can handle general network topologies; unicast, multicast and broadcast flows; interference constraints; link reliabilities; and AoI cost functions. We provide numerical results to show that our proposed algorithms behave as well as or better than the best-known scheduling and routing schemes available in the literature for a wide variety of network settings.



Vishrant is a PhD student in the EECS department at MIT, advised by Prof. Eytan Modiano. He currently works on the design of scheduling policies for wireless and mobile networks, to optimize for information freshness. Applications include real-time sensing and monitoring, networked control systems, multi-agent robotics, and caching at the wireless edge.