activity
20242026
most citedLow Complexity Joint Channel Estimation and Data Detection for AFDM Receivers With Oversampling

1 citations · 1 across the 23 of their papers we have counts for

collaborators

24 papers

eess.SP2026

Joint Synchronization and Radar Parameter Estimation for OFDM-based DISAC Systems

Niclas Führling, Hyeon Seok Rou, Kuranage Roche Rayan Ranasinghe +2

We propose a novel approach to the synchronization paradigm in distributed ISAC (DISAC) systems in doubly-dispersive (DD) channel environments via a joint synchronization and radar…

eess.SP2026

1-bit Quantized Continuous Aperture Arrays

Kuranage Roche Rayan Ranasinghe, Getuar Rexhepi, Zhaolin Wang +1

Continuous aperture arrays (CAPAs) have emerged as a promising physical-layer paradigm for sixth generation (6G) systems, offering spatial degrees of freedom beyond those of conven…

eess.SP2026

Dual-Chirp AFDM for Joint Delay-Doppler Estimation with Rydberg Atomic Quantum Receivers

Hanvit Kim, Hyeon Seok Rou, Kihong Min +2

In this paper, we propose a joint delay-Doppler estimation framework for Rydberg atomic quantum receivers (RAQRs) leveraging affine frequency division multiplexing (AFDM), as a fut…

eess.SP2026

Environment-aware Near-field UE Tracking under Partial Blockage and Reflection

Hyunwoo Park, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu +1

This paper proposes an environment-aware near-field (NF) user equipment (UE) tracking method for extremely large aperture arrays. By integrating known surface geometries and tracki…

eess.SP2025

Normalized Ambiguity Function Characteristics of OFDM, OTFS, AFDM, and CP-AFDM for ISAC

Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu

This paper presents a unified and system-agnostic analysis of the ambiguity function (AF) characteristics of four representative multicarrier waveforms, orthogonal frequency divisi…

eess.SP2025

The IEEE Signal Processing Society's Leading Role in Developing Standards for Computational Imaging and Sensing: Part II

Andreas Bathelt, Benjamin Deutschmann, Hyeon Seok Rou +3

In every imaging or sensing application, the physical hardware creates constraints that must be overcome or they limit system performance. Techniques that leverage additional degre…

eess.SP2025

On the Noise Robustness of Affine Frequency Division Multiplexing: Analysis and Applications

Vincent Savaux, Steve Sawadogo, Hyeon Seok Rou +1

This paper investigates the robustness of affine frequency division multiplexing (AFDM) and orthogonal time frequency space (OTFS) modulation schemes against non-white Gaussian noi…

eess.SP2025

Secrecy-Driven Beamforming for Multi-User Integrated Sensing and Communication

Ali Khandan Boroujeni, Hyeon Seok Rou, Ghazal Bagheri +4

This paper proposes a secure integrated sensing and communications (ISAC) framework for multi-user systems with multiple communication users (CUs) and adversarial targets, where th…

eess.SP2025

Integrated Communication and Computing in Time-Varying mmWave Channels

Joan Çollaku, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu +1

We propose a novel framework for integrated communication and computing (ICC) transceiver design in time-varying millimeter-wave (mmWave) channels. In particular, in order to cope…

eess.SP2025

Affine Filter Bank Modulation (AFBM): A Novel 6G ISAC Waveform with Low PAPR and OOBE

Kuranage Roche Rayan Ranasinghe, Henrique L. Senger, Gustavo P. Gonçalves +4

We propose the affine filter bank modulation (AFBM) waveform for enhanced integrated sensing and communications (ISAC) in sixth generation (6G), designed by drawing on concepts fro…

eess.SP2025

Doubly-Dispersive Continuous MIMO Systems: Channel Modeling and Beamforming Design

Kuranage Roche Rayan Ranasinghe, Zhaolin Wang, Hyeon Seok Rou +2

We address the modeling and optimal beamforming (BF) design for multiple-input multiple-output (MIMO) continuous aperture array (CAPA) systems operating over doubly-dispersive (DD)…

eess.SP2025

SMDS-based Rigid Body Localization

Niclas Führling, Giuseppe Abreu, David González G. +1

We consider a novel rigid body localization (RBL) method, based only on a set of measurements of the distances, as well as the angles between sensors of the vehicle to the anchor l…

eess.SP2025

Flexible Intelligent Metasurfaces in High-Mobility MIMO Integrated Sensing and Communications

Kuranage Roche Rayan Ranasinghe, Jiancheng An, Iván Alexander Morales Sandoval +4

We propose a novel doubly-dispersive (DD) multiple-input multiple-output (MIMO) channel model incorporating flexible intelligent metasurfaces (FIMs), which is suitable for integrat…

eess.SP2025

Fairness-Aware Secure Integrated Sensing and Communications with Fractional Programming

Ali Khandan Boroujeni, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu +3

We propose a novel secure integrated sensing and communications (ISAC) system designed to serve multiple communication users (CUs) and targets. To that end, we formulate an optimiz…

eess.SP2025

Chirp-Permuted AFDM: A Versatile Waveform Design for ISAC in 6G

Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu

We present a novel multicarrier waveform, termed chirp-permuted affine frequency division multiplexing (CP-AFDM), which introduces a unique chirp-permutation domain on top of the c…

eess.SP2025

Metasurfaces-Integrated Doubly-Dispersive MIMO: Channel Modeling and Optimization

Kuranage Roche Rayan Ranasinghe, Hyeon Seok Rou, Iván Alexander Morales Sandoval +2

The doubly-dispersive (DD) channel structure has played a pivotal role in wireless communications, particularly in high-mobility scenarios and integrated sensing and communications…

eess.SP2025

Quaternion Domain Super MDS for 3D Localization

Keigo Masuoka, Takumi Takahashi, Giuseppe Thadeu Freitas de Abreu +1

We propose a novel low-complexity three-dimensional (3D) localization algorithm for wireless sensor networks, termed quaternion-domain super multidimensional scaling (QD-SMDS). Thi…

eess.SP2025

Quantum Manifold Optimization: A Design Framework for Future Communications Systems

Getuar Rexhepi, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu

Inspired by recent developments in various areas of science relevant to quantum computing, we introduce quantum manifold optimization (QMO) as a promising framework for solving con…

eess.SP2025

Blinding the Wiretapper: RIS-Enabled User Occultation in the ISAC Era

Getuar Rexhepi, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu +1

An undesirable consequence of the foreseeable proliferation of sophisticated integrated sensing and communications (ISAC) technologies is the enabling of spoofing, by malicious age…

cs.NI2025

A Robust Routing Protocol for 5G Mesh Networks

Niclas Führling, Ivan Alexander Morales Sandoval, Giuseppe Thadeu Freitas de Abreu

We consider a novel routing protocol suitable for ad-hoc networks with dynamically changing topologies, such as DECT 2020 NR (NR+) systems, which often lead to missing links betwee…

cs.RO2025

Egoistic MDS-based Rigid Body Localization

Niclas Führling, Giuseppe Abreu, David González G. +1

We consider a novel anchorless rigid body localization (RBL) suitable for application in autonomous driving (AD), in so far as the algorithm enables a rigid body to egoistically de…

eess.SP2024

6D Rigid Body Localization and Velocity Estimation via Gaussian Belief Propagation

Niclas Führling, Volodymyr Vizitiv, Kuranage Roche Rayan Ranasinghe +4

We propose a novel message-passing solution to the sixth-dimensional (6D) moving rigid body localization (RBL) problem, in which the three-dimensional (3D) translation vector and r…

eess.SP2024★ 1 cited

Low Complexity Joint Channel Estimation and Data Detection for AFDM Receivers With Oversampling

Kuranage Roche Rayan Ranasinghe, Yao Ge, Giuseppe Thadeu Freitas de Abreu +1

In this paper, we propose a novel low complexity time domain (TD) oversampling receiver framework under affine frequency division multiplexing (AFDM) waveforms for joint channel es…

quant-ph2024

Grover Adaptive Search for the Higher-Order Formulation of Quadratic Assignment Problems

Taku Mikuriya, Shintaro Fujiwara, Kein Yukiyoshi +2

We demonstrate that the search space of the quadratic assignment problem (QAP), known as an NP-hard combinatorial optimization problem, can be reduced using Grover adaptive search…