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20232026
most citedCross-layer Integrated Sensing and Communication: A Joint Industrial and Academic Perspective

1 citations · 1 across the 8 of their papers we have counts for

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eess.SP2026

Spectrum Anomaly Detection in OFDMA Systems: Simulation Framework and Benchmark Dataset

Anton Schösser, Mohammadhadi Salehi, Sinuo Ma +2

Wireless connectivity underpins modern society and industry, enabling critical applications such as 5G ultra-reliable low-latency communication (URLLC) for industrial automation. H…

eess.SP2026

Impact of Phase Errors on Distributed NTN Beam Focusing

Ahmad Nimr, Mohammad Parvini, Bitan Banerjee +1

This paper investigates distributed beam focusing for coordinated satellite constellations with phased arrays, motivated by future non-terrestrial network (NTN) systems. A geometri…

eess.SP2026

Cramer-Rao Bound for Angle of Arrival Estimates in True-Time-Delay Systems

Carl Collmann, Ahmad Nimr, Gerhard Fettweis

In the context of joint communication and sensing JC&S, the challenge of obtaining accurate parameter estimates is of interest. Parameter estimates, such as the AoA can be utilized…

eess.SP2025

A Practical Analysis: Understanding Phase Noise Modelling in Time and Frequency Domain for Phase-Locked Loops

Carl Collmann, Bitan Banerjee, Ahmad Nimr +1

In MIMO systems, the presence of phase noise is a significant factor that can degrade performance. For MIMO testbeds build from SDR devices, phase noise cannot be ignored, particul…

eess.SP2025★ 1 cited

Cross-layer Integrated Sensing and Communication: A Joint Industrial and Academic Perspective

Henk Wymeersch, Nuutti Tervo, Stefan Wänstedt +40

Integrated sensing and communication (ISAC) enables radio systems to simultaneously sense and communicate with their environment. This paper, developed within the Hexa-X-II project…

eess.SP2023

A Low-Complexity Machine Learning Design for mmWave Beam Prediction

Muhammad Qurratulain Khan, Abdo Gaber, Mohammad Parvini +2

The 3rd Generation Partnership Project (3GPP) is currently studying machine learning (ML) for the fifth generation (5G)-Advanced New Radio (NR) air interface, where spatial and tem…