activity
20232026
most citedRecurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO

1 citations · 1 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IT2026

Beyond Minimum Distance: The Optimal Leading Coefficient in the High-SNR Error-Probability Expansion for AWGN Spherical Codes

Nikola Zlatanov

Packing-optimal spherical codes attain the largest achievable minimum distance and hence the optimal error exponent at high SNR. Among these codebooks held fixed as SNR gro…

eess.SP2026★ 1 cited

Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO

Dmitry Artemasov, Alexander Shmatok, Kirill Andreev +3

The integration of terahertz communications and ultra-massive multiple-input multiple-output (UM-MIMO) systems in 6G networks is motivated by their ability to enable unprecedented…

quant-ph2026

LO-Free Phase and Amplitude Recovery of an RF Signal with a DC-Stark-Enabled Rydberg Receiver

Vladislav Katkov, Nikola Zlatanov

We present a theoretical framework for recovering the amplitude and carrier phase of a single received RF field with a Rydberg-atom receiver, without injecting an RF local oscillat…

cs.IT2026

List Estimation

Nikola Zlatanov, Amin Gohari, Farzad Shahrivari +1

Classical estimation outputs a single point estimate of an unknown -dimensional vector from an observation. In this paper, we study \emph{-list estimation}, in which a single…

eess.SP2026

Programmable Unitary RF Networks for Narrowband Hybrid Beamforming

Nikola Zlatanov, Damir Salakhov

Conventional hybrid beamforming architectures are compared with one another and with the fully-digital architecture under the same radiated antenna power. However, the physically r…

eess.SP2026

A Narrowband Fully-Analog Multi-Antenna Transmitter

Nikola Zlatanov

This paper proposes a narrowband fully-analog -antenna transmitter that emulates the functionality of a narrowband fully-digital -antenna transmitter. Specifically, in symbol…

cs.GT2025

An Incentive-Compatible Reward Sharing Mechanism for Mitigating Mirroring Attacks in Decentralized Data-Feed Systems

Sina Aeeneh, Nikola Zlatanov, Jiangshan Yu

Decentralized data-feed systems enable blockchain-based smart contracts to access off-chain information by aggregating values from multiple oracles. To improve accuracy, these syst…

math.PR2024

A Method For Bounding Tail Probabilities

Nikola Zlatanov

We present a method for upper and lower bounding the right and the left tail probabilities of continuous random variables (RVs). For the right tail probability of RV with proba…

eess.SP2023

HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceivers

Debamita Ghosh, Manjesh Kumar Hanawal, Nikola Zlatanova

Holographic Metasurface Transceivers (HMTs) are emerging as cost-effective substitutes to large antenna arrays for beamforming in Millimeter and TeraHertz wave communication. Howev…

math.PR2023

A New Type Of Upper And Lower Bounds On Right-Tail Probabilities Of Continuous Random Variables

Nikola Zlatanov

In this paper, I present a completely new type of upper and lower bounds on the right-tail probabilities of continuous random variables with unbounded support and with semi-bounded…

stat.ML2023

New Bounds on the Accuracy of Majority Voting for Multi-Class Classification

Sina Aeeneh, Nikola Zlatanov, Jiangshan Yu

Majority voting is a simple mathematical function that returns the value that appears most often in a set. As a popular decision fusion technique, the majority voting function (MVF…