Tootfinder

Channel Estimation and Data Detection in DS-Spread Channels: A Unified Framework, Novel Algorithms, and Waveform Comparison
Niladri Halder, Chandra R. Murthy
https://arxiv.org/abs/2508.21373

Channel Estimation and Data Detection in DS-Spread Channels: A Unified Framework, Novel Algorithms, and Waveform Comparison
We present a unified receiver processing framework for communication over delay-scale (DS)-spread channels that arise in underwater acoustic (UWA) communications that addresses both channel estimation (CE) and data detection for different modulation waveforms, namely OFDM, OTFS, OCDM, and ODSS, through a common input--output relation. Using this framework, we conduct a fair and comprehensive comparative study of these waveforms under DS-spread UWA channels and similar receiver complexities. W…

Experimentally-Driven Analysis of Stability in Connected Vehicle Platooning: Insights and Control Strategies
Niladri Dutta, Elham Abolfazli, Themistoklis Charalambous
https://arxiv.org/abs/2507.23078

Experimentally-Driven Analysis of Stability in Connected Vehicle Platooning: Insights and Control Strategies
This paper presents the development of a tangible platform for demonstrating the practical implementation of cooperative adaptive cruise control (CACC) systems, an enhancement to the standard adaptive cruise control (ACC) concept by means of Vehicle-to-Everything (V2X) communication. It involves a detailed examination of existing longitudinal controllers and their performance in homogeneous vehicle platoons. Moreover, extensive tests are conducted using multiple autonomous experimental vehicle …

Adaptive Divide and Conquer with Two Rounds of Communication
Niladri Kal, Botond Szab\'o, Rajarshi Guhaniyogi, Natesh Pillai, Debdeep Pati
https://arxiv.org/abs/2508.17073 h…

Adaptive Divide and Conquer with Two Rounds of Communication
We introduce a two-round adaptive communication strategy that enables rate-optimal estimation in the white noise model without requiring prior knowledge of the underlying smoothness. In the first round, local machines send summary statistics using $(\log_2(n))^2$ bits to enable the central machine to select the tuning parameters of the procedure. In the second round, another set of statistics are transmitted using optimal number of bits, enabling the central machine to aggregate and produce a f…