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George Sklivanitis

5 accepted papers

2023

Single-Sample Direction-of-Arrival Estimation for Fast and Robust 3D Localization With Real Measurements from a Massive MIMO System

ICASSP 2023accepted

Fast, robust, high-accuracy localization is a key enabler for future location-aware applications in streetscape communication networks and next-generation networked autonomous agents. Specifically, massive multiple-input and multiple-output (MIMO) antenna systems have received increasing attention d…

Cited by 0SourceScholar
2020

Optimal Joint Channel Estimation and Data Detection by L1-norm PCA for Streetscape IoT

ICASSP 2020accepted

We prove, for the first time in the literature of communication theory and machine learning, the equivalence of joint maximum-likelihood (ML) optimal channel estimation and data detection (JOCEDD) to the problem of finding the L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http:/…

Cited by 0SourceScholar
2019

Dynamic Joint PHY-MAC Waveform Design for IoT Connectivity

ICASSP 2019accepted

We envision dense network deployments of Internet-of-Things (IoT) connected devices that report data to a common base station (BS). The devices utilize repeats of a basic shaping pulse occupying the entire continuum of the device-accessible spectrum. We propose an optimal algorithm to adaptively des…

Cited by 0SourceScholar
2018

Small-Sample-Support Channel Estimation for Massive Mimo Systems

ICASSP 2018accepted

We consider the problem of blind channel estimation with minimal pilot signaling in multi-cell multi-user MIMO systems with very large antenna arrays at the base station. We develop a least-squares (LS)-type algorithm that iteratively extracts channel and data estimates in short-data record multicel…

Cited by 0SourceScholar
2017

Sparse waveform design for all-spectrum channelization

ICASSP 2017accepted

We introduce maximum-SINR sparse-binary waveforms that modulate data information symbols from any finite alphabet and span the whole continuum of the available/device-accessible spectrum. We offer an optimal algorithm that designs the proposed waveforms by maximizing the signal-to-interference-plus-…

Cited by 0SourceScholar