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20172026
most citedTaming Non-stationary Bandits: A Bayesian Approach

48 citations · 72 across the 34 of their papers we have counts for

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cs.IT2026

Distribution of -th Maximum Order Statistics of Independent, & Non-Identical SNR random variables in fading and its applications in

Srinivas Sagar, Athira Subhash, Sheetal Kalyani

This paper employs extreme value theory to establish the asymptotic distribution of the -th maximum order statistics of signal to noise ratio (SNR) for a fading channel wi…

cs.IT2026

Neural Equalisers for Highly Compressed Faster-than-Nyquist Signalling: Design, Performance, Complexity and Robustness

Shubham Paul, Sheetal Kalyani, Nambi Sheshadri +1

Faster-than-Nyquist (FTN) signalling has emerged as a compelling technique for enhancing spectral efficiency in bandwidth-constrained communication systems. By intentionally introd…

cs.IT2026

Integrating OTFS in Airplane-Aided Next-Generation Networking

Ashok S Kumar, Shashank Shekhar, Gokularam Muthukrishnan +2

Next-generation networks explore the opportunistic assistance of airliner/high-altitude platforms (HAPs) in delivering high data rates for terrestrial networks to ensure consistent…

cs.IT2025

RIS, Active RIS or RDARS: A Comparative Insight Through the Lens of Energy Efficiency

Aparna V C, Shashank Shekhar, Sheetal Kalyani

Multiplicative fading is a major limitation of reconfigurable intelligent surfaces (RIS), restricting their effective coverage in both existing sub-6GHz systems and future mmWave n…

cs.IT2024

The Rendezvous Between Extreme Value Theory and Next-generation Networks

Srinivas Sagar, Athira Subhash, Chen-Feng Liu +6

Promising technologies such as massive multiple-input and multiple-output, reconfigurable intelligent reflecting surfaces, non-terrestrial networks, millimetre wave communication,…

cs.IT2024

Product and Ratio of Two Shadowed Random Variables and its Application to Wireless Communication

Shashank Shekhar, Sheetal Kalyani

This work studies the product and ratio statistics of independent and non-identically distributed (i.n.i.d) shadowed random variables. We derive the series expression for…