activity
20142026
most citedFrom OTFS to AFDM: A Comparative Study of Next-Generation Waveforms for ISAC in Doubly-Dispersive Channels

93 citations · 208 across the 52 of their papers we have counts for

collaborators

61 papers

eess.SP2026

Effects of Residual Chirp Rate on DAFT-s-AFDM Uplink Performance

Henrique L. Senger, Gustavo P. Gonçalves, Bruno S. Chang +2

Affine frequency division multiplexing (AFDM) is robust to doubly dispersive channels in high-mobility 6G systems but, like orthogonal frequency division multiplexing (OFDM), suffe…

cs.IT2026

On the State Evolution of Approximate Message Passing with Discontinuous Denoisers

Kuranage Roche Rayan Ranasinghe, Takumi Takahashi, Giuseppe Thadeu Freitas de Abreu

We consider approximate message passing (AMP) with discontinuous denoisers, such as hard slicers, quantizers and hard thresholding, for which the classical state evolution (SE) ana…

eess.SP2026

Comparative Analysis of Filter Bank Waveforms for ISAC Systems: 2D-FFT FB and AFBM

Polianna Basso, Victor Augusto Del Monego, Hyeon Seok Rou +3

We present a comparative analysis of two promising filter bank multicarrier waveforms for integrated sensing and communications (ISAC) systems operating in high-mobility environmen…

eess.SP2026

Integrated Communication and Computing with Index Modulation

Shreesal Shrestha, Kuranage Roche Rayan Ranasinghe, Hyeon Seok Rou +1

We propose an integrated communication and computing (ICC) architecture that repurposes the inactive antennas of a spatial index modulation (IM) transmitter to perform over-the-air…

cs.IT2026

Orbital Detection: On Maximum-Entropy Priors

Kuranage Roche Rayan Ranasinghe, Takumi Takahashi, Giuseppe Thadeu Freitas de Abreu

Soft-input detection over a discrete constellation \(\mathcal{M}\) of cardinality \(M\) requires computing a posterior whose mean and mode are respectively given by the minimum mea…

eess.SP2026

Joint PAPR and OOBE Reduction for AFDM via Chirp Parameter Tuning

Vincent Savaux, Hyeon Seok Rou, Zeping Sui +2

This paper addresses the joint reduction of the peak-to-average power ratio (PAPR) and out-of-band emissions (OOBE) in affine frequency division multiplexing (AFDM) systems by sele…

eess.SP2026

Distortion-Aware Integrated Sensing and Communication with Affine Filter Bank Modulation

Eya Gourar, Henrique L. Senger, Gustavo P. Gonçalves +6

The stringent energy-efficiency requirements of future Integrated Sensing and Communications (ISAC) systems are fundamentally challenged. Unlike conventional communication systems,…

cs.IT2026

Orbital Detection

Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu

We introduce orbital detection (OD), a framework for designing asymptotically optimal, low-complexity message passing (MP) receivers for digitally modulated multiple-input multiple…

eess.SP2026

Bistatic Integrated Sensing and Communications with Flexible Intelligent Metasurfaces

Iván Alexander Morales Sandoval, Thushar Venkataramanaiah, Kuranage Roche Rayan Ranasinghe +3

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

eess.SP2026

Multi-Chirp AFDM for Rydberg Atomic Quantum Receivers: Waveform and Algorithm Design

Hanvit Kim, Hyeon Seok Rou, Kihong Min +2

We propose a multi-chirp affine frequency division multiplexing (MC-AFDM) scheme for joint delay-Doppler estimation with Rydberg atomic quantum receivers (RAQRs). The work is motiv…

eess.SP2026

Characterization of Continuous Electromagnetic Manifolds via Calculus of Variations

Kuranage Roche Rayan Ranasinghe, Miguel Rodrigo Castellanos, Giuseppe Thadeu Freitas de Abreu

We present a novel calculus of variations (CoV)-based framework for the characterizing of, and beamforming over, continuous electromagnetic manifolds of arbitrary multiple-input mu…

eess.SP2026

Group-Connected Riemannian Manifold Optimization for Reciprocal BD-RIS

Marko Fidanovski, Thushar Venkataramanaiah, Eduard Jorswieck +1

Reconfigurable intelligent surfaces (RISs) provide a flexible means of engineering wireless propagation channels through configurable multiport scattering networks. Among their arc…

eess.SP2026

Multibit Quantized Precoding for MU-mMIMO

Getuar Rexhepi, Shreesal Shrestha, Christoph Studer +1

We propose a novel multibit quantized precoding method for the downlink of multi-user massive MIMO systems with low-resolution digital-to-analog converters. The new method, termed…

eess.SP2026

Learning to Compute on Dirty Paper

Shreesal Shrestha, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu +1

We propose a fully learning-based approach to integrated communication and computing (ICC) that combines dirty paper coding (DPC) with over-the-air computation. Each user employs a…

eess.SP2026

On the Robustness of AFBM Sensing to Power Amplifier Nonlinearities

Eya Gourar, Henrique L. Senger, Gustavo P. Gonçalves +6

We investigate the impact of power amplifier (PA) nonlinearities on the sensing performance of affine filter bank modulation (AFBM). While AFBM offers several advantageous properti…

eess.SP2026

AFDM as a Software Upgrade of OFDM: One Firmware Patch, a New Frontier

Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu

In this white paper, we summarize for the benefit of the wider research community on wireless communications, the two key results that we shared with the attendees of the 2026 IEEE…

eess.SP2026

Reciprocal Beyond Diagonal Reconfigurable Intelligent Surface: Distributed Scattering Matrix Design and MIMO Beamforming via Fractional Programming and Manifold Optimization

Iván Alexander Morales Sandoval, Marko Fidanovski, Hyeon Seok Rou +2

We consider the optimization of beyond diagonal reconfigurable intelligent surface (BD-RIS)-aided multi-user (MU) cell-free (CF)-massive multiple-input multiple-output (mMIMO) syst…

cs.IT2026

Electromagnetic Signal and Information Theory: A Continuous-Aperture Array Perspective

Zhaolin Wang, Chongjun Ouyang, Kuranage Roche Rayan Ranasinghe +4

Emerging wireless systems are evolving toward larger, denser, higher-frequency, and more reconfigurable apertures, which motivates the study of continuous-aperture arrays (CAPAs).…

eess.SP2026

A Novel Framework for the Characterization of Continuous Electromagnetic Manifolds

Kuranage Roche Rayan Ranasinghe, Miguel Rodrigo Castellanos, Giuseppe Thadeu Freitas de Abreu

A unified framework for the characterization of continuous electromagnetic (EM) manifolds for arbitrary multipleinput multiple-output (MIMO) system geometries is presented. The EM…

quant-ph2026

Quantum Clock Synchronization Networks: A Survey

Uman Khalid, Muhammad Shohibul Ulum, Mujirin +3

Quantum clock synchronization (QCS) aims to establish a shared temporal reference between distant nodes by exploiting uniquely quantum phenomena such as entanglement, single-photon…

eess.SP2026

The Resurrection of Spectrum Spreading for 6G and Beyond: From Sinusoids to Chirps

Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Emil Björnson +2

Orthogonal frequency-division multiplexing (OFDM) and its sinusoidal subcarriers have underpinned the 4G and 5G eras, delivering high spectral efficiency and resilience to multipat…

eess.SP2026

Regularized Approximate Message Passing for Overloaded Discrete Linear Inversion

Shreesal Shrestha, Getuar Rexhepi, Kuranage Roche Rayan Ranasinghe +2

We propose regularized approximate message passing (RAMP), a low-complexity algorithm for discrete signal detection in overloaded multiple-input multiple-output (MIMO) systems wher…

eess.SP2026

AFDM: Evolving OFDM Towards 6G+

Hyeon Seok Rou, Vincent Savaux, Zeping Sui +2

As sixth generation (6G) standardization accelerates, there is growing consensus in favor of evolutionary waveforms that add new capabilities while preserving compatibility with th…

eess.SP2026

Rigid Body Localization via Gaussian Belief Propagation with Quadratic Angle Approximation

Niclas Führling, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu +2

Gaussian belief propagation (GaBP) is a technique that relies on linearized error and input output models to yield low-complexity solutions to complex estimation problems, which ha…