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Zak-OTFS: A Predictable Physical Layer for Communications and Sensing
Sandesh Rao Mattu, Nishant Mehrotra, Venkatesh Khammammetti +1
This tutorial derives the mathematical foundations of what it means for a carrier waveform to be predictable and non-selective. We focus on Zak-OTFS, where each carrier waveform is…
A Reinforcement Learning Framework for Resource Allocation in Uplink Carrier Aggregation in the Presence of Self Interference
Jaswanth Bodempudi, Batta Siva Sairam, Madepalli Haritha +2
Carrier aggregation (CA) is a technique that allows mobile networks to combine multiple carriers to increase user data rate. On the uplink, for power constrained users, this transl…
Learning based Channel Estimation and Phase Noise Compensation in Doubly-Selective Channels
Sandesh Rao Mattu, A. Chockalingam
In this letter, we propose a learning based channel estimation scheme for orthogonal frequency division multiplexing (OFDM) systems in the presence of phase noise in doubly-selecti…
Deep Channel Prediction: A DNN Framework for Receiver Design in Time-Varying Fading Channels
Sandesh Rao Mattu, Lakshmi Narasimhan T, A. Chockalingam
In time-varying fading channels, channel coefficients are estimated using pilot symbols that are transmitted every coherence interval. For channels with high Doppler spread, the ra…