Defence of dissertation in the field of Signal Processing Technology, M.Sc. (Tech.) Karthik Upadhya
The title of thesis is “Channel Estimation in Large-Scale Multi-Antenna Systems for 5G and Beyond: Novel Pilot Structures and Algorithms”
Data generated at a sensing node is valuable only when there is a fast and reliable communication link to ferry it to a computing node for inference. With the advent of technologies such as the internet of things, virtual/augmented reality, and self-driving vehicles, the data generated by machines, in addition to the need for high-speed in-ternet access for conventional mobile users, is fueling the demand for higher com-munication throughputs. This demand is expected to be fulfilled by 5G and future networks through the use of two main technologies, namely, large-scale antenna ar-rays and communication at millimeter-wave (mmWave) frequencies.
Knowledge of the wireless communication channel is essential for utilizing the bene-fits of large-scale antenna arrays, and acquiring this channel state information (CSI) has its associated challenges. In this thesis, we address the problem of CSI acquisi-tion at sub-6 GHz and mmWave frequencies and propose novel pilot structures and algorithms that improve the throughput and reliability of these future networks.
Opponents: Professor A. Lee Swindlehurst, University of California, United States and Professor Erik G. Larsson, Linköping University, Sweden
Supervisor: Professor Sergey A. Vorobyov, Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics
Venue: Maarintie 8, Espoo, Hall AS 1
Contact information: Karthik Upadhya,+358417039698, firstname.lastname@example.org
Department of Signal Processing and Acoustics, Aalto University School of Electrical Engineering,
Konemiehentie 2, Espoo, Finland