Research Interests


My research focus is on the development of network control algorithms designed to meet rigorous performance requirements in terms of throughput, latency and/or information freshness. These custom-made algorithms become essential when the performance requirements are demanding. Examples are abundant: applications with massive number of nodes (Internet of Things), mission critical networks (military operation or industrial plants), cyber-physical systems (autonomous cars or swarms of UAVs) and others.

In this research, we combine techniques from Mathematical Optimization, Stochastic Control and Network Protocols to model communication networks with performance requirements, and then use this model to design algorithms that (provably) satisfy the requirements.

Most recently, our research has been on optimizing transmission scheduling decisions in wireless networks to achieve minimum Age of Information, i.e. to deliver the freshest information to the end-users. The Age of Information is a new performance metric that has been receiving increasing attention in the literature and is particularly useful for applications such as Wireless Sensor Networks.


Rajat Talak, Igor Kadota, Sertac Karaman, Eytan Modiano
Scheduling Policies for Age Minimization in Wireless Networks with Unknown Channel State
To appear in IEEE ISIT, June 2018.

Igor Kadota, Abhishek Sinha, Eytan Modiano
Optimizing Age of Information in Wireless Networks with Throughput Constraints
IEEE INFOCOM , April 2018.       [Detailed proofs will be posted HERE] Igor Kadota, Elif Uysal-Biyikoglu, Rahul Singh, Eytan Modiano
Minimizing Age of Information in Broadcast Wireless Networks
IEEE Allerton Conf. on Communication, Control, and Computing, September 2016.

Igor Kadota
Transmission scheduling of periodic Real-Time traffic in Wireless Networks
SM thesis, Dept. of Aeronautics and Astronautics, MIT, September 2016.

Kyu Seob Kim, Chih-Ping Li, Igor Kadota, Eytan Modiano
Optimal Scheduling of Real-Time Traffic in Wireless Networks with Delayed Feedback
IEEE Allerton Conf. on Communication, Control, and Computing, September 2015.

Igor Kadota, Andrea Baiocchi, Alessandro Anzaloni
Kalman Filtering: estimate of the Numbers of Active Queues in an 802.11e EDCA WLAN
Elsevier Computer Communications, February 2014.

Igor Kadota



MIT, office: 32-D671
77 Massachusetts Ave,
Cambridge, MA 02139

        LinkedIn Facebook Google Scholar