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cs.IT2026

Deep-OFDM: Neural Modulation for High Mobility

S. Ashwin Hebbar, Sravan Kumar Ankireddy, Harshithanjani Athi +3

Orthogonal Frequency Division Multiplexing (OFDM) is the dominant waveform in modern wireless systems, but suffers performance degradation in high-mobility environments due to Dopp…

cs.IT2026

Residual Diffusion Models for Variable-Rate Joint Source Channel Coding of MIMO CSI

Sravan Kumar Ankireddy, Heasung Kim, Joonyoung Cho +1

Despite significant advancements in deep learning based CSI compression, some key limitations remain unaddressed. Current approaches predominantly treat CSI compression as a source…

cs.IT2024

Task-aware Distributed Source Coding under Dynamic Bandwidth

Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao +5

Efficient compression of correlated data is essential to minimize communication overload in multi-sensor networks. In such networks, each sensor independently compresses the data a…

cs.IT2024

LightCode: Light Analytical and Neural Codes for Channels with Feedback

Sravan Kumar Ankireddy, Krishna Narayanan, Hyeji Kim

The design of reliable and efficient codes for channels with feedback remains a longstanding challenge in communication theory. While significant improvements have been achieved by…

cs.IT2024

DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning

S Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim +2

Progress in designing channel codes has been driven by human ingenuity and, fittingly, has been sporadic. Polar codes, developed on the foundation of Arikan's polarization kernel,…