Pavan Srinath Email & Phone Number

Orsay, Fr

Paris Area, France

System-level analysis of 6G massive multi-user MIMO uplink gNB reception and downlink gNB transmission (L1 and L2 aspects). This project includes the following:1) Co-implementation of a system-level simulator in TensorFlow and NumPy with explicit channel generation and interference modelling, 5G LDPC code generation with rate-matching capabilities, link-adaptation and HARQ, multiple UE scheduling, dynamic UE rank selection.2) A detailed study of algorithms for linear and non-linear uplink MU-MIMO reception and linear transmit-precoding with hybrid beamforming for downlink MU-MIMO transmission. These algorithms are intended to enhance the network throughput and involve, for example, the design of power control parameters and resource allocation (L2 features) and SINR maximization (L1 feature).3) Computational complexity and energy-efficiency analysis of various algorithms and MIMO architectures.4) Application of machine-learning techniques wherever relevant and appropriate.Other activities:1) Supervised and semi-supervised learning for UE localization.2) Supervision of Master’s Thesis and PhD internships.

Statistical inference and machine learning for wireless communications

Cambridge, United Kingdom

I worked on computationally feasible methods with provable theoretical guarantees for high-dimensional statistical inference. In particular, my research was on the following:1) Low-complexity algorithms for high-dimensional sparse linear inverse problems with applications to compressed sensing, channel-coding for communication systems, and machine learning.2) Non-parametric shrinkage estimation of high-dimensional (sparse) sequences.My other responsibilities included the following: 1) Small group teaching for several M.Eng. modules at the University of Cambridge.2) Project Assessor for the following M.Eng. projects: Reed Solomon Coding for DNA Storage, DNA storage systems.

Bangalore

As a member of the physical layer algorithms team for Long term evolution-Advanced (LTE-A) user equipment (UE) receiver design, I worked on the following:1) Studied and evaluated various techniques for rejecting/combining interference in the downlink control channel detection. The goal was to identify the best technique for each scenario.2) Fine tuning of the downlink hybrid-automatic repeat request (HARQ) performance. The goal was to get the best performance for the given memory constraints.

Bangalore

I was a developer for the Human-Machine interface (HMI) of Ford High-series Radio navigation systems (Ford-HSRNS).

Master Of Engineering (M.Eng.), Telecommunication

Relevant coursework (Credit): Digital Communication, Space-Time Coding, Information Theory and Coding–I and II, Matrix Theory, Random.

Phd, Wireless Communications

Activities and Societies: Reviewer for IEEE Transactions on Information Theory, IEEE Transactions on Communications, IEEE Transactions.

Bachelor Of Engineering (B.E.), Electronics And Communications