[SEMINAR] February 14, 2025 – Andrey Barannikov – MIMO CSI Compression Method With Dual Differential Feedback for Wi-Fi Networks

We are happy to invite you to the next talk of Moscow Telecommunication Seminar which will be held at 17.00 (MSK, UTC+03:00), on Friday, February 14, 2025, in Skype.

Join the seminar in Skype: https://join.skype.com/Ls5bn4LccvSR

Title: MIMO CSI Compression Method With Dual Differential Feedback for Wi-Fi Networks

Speaker: Andrey Barannikov, IITP RAS, MIPT

Abstract: In recent years, multiple-input multiple-output (MIMO) technology has become a crucial component in enhancing the performance of Wi-Fi networks, particularly in terms of increasing throughput. The deployment of additional antennas and the development of coordinated MIMO operations have led to a notable increase in the required channel state information (CSI). In this seminar, the primary focus will be on the transmission method of CSI, as outlined in the latest IEEE 802.11 standard. Subsequently, we will examine some improvements to this basic method that not only maintain the low computational complexity of the original algorithm but also significantly reduce the size of the transmitted CSI. I will provide information on differential feedback and exponential distribution mapping. Finally, there will be a general overview and comparison of all CSI transmitting algorithms based on experimental and simulation results in diverse scenarios.

Bio: Andrey received the B.S. degree in applied mathematics and physics in 2024, from the Moscow Institute of Physics and Technology, Moscow, Russia, where he is currently working toward the M.S. degree.
He is a junior researcher with the Wireless Networks Laboratory, Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow. His research interests include Wi-Fi technology, software-defined radio prototyping, inspection of Wi-Fi PHY and MAC, MIMO and co-existence in unlicensed band in particular.

To get more information about the seminar, please visit this page.