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20182026
most citedHow connected cars could capture cloud dynamics -- first evidence from two simulation scenarios

3 citations · 8 across the 15 of their papers we have counts for

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13 papers · 1 filter

eess.SP2026

Receiver-Specific Interventional Valuation of Semantic Atoms for Budget-Constrained Multi-Agent Communication

Danial Dehghani, Maximilian Lübke, Friedemann Laue +2

Cooperative multi-agent semantic communication requires deciding not only how a transmitter encodes its observation, but also which resulting semantic content should be delivered t…

eess.SP2026

Optimal Measurement Point Selection for Radio Environment Maps: A Two-Stage Approach

Bastian Perner, Friedemann Laue, Maximilian Lubke +1

Electromagnetic (EM) situational awareness is essential for the deployment and operation of local and temporary non-public networks (NPNs). Radio Environment Maps (REMs) provide an…

eess.SP2026

CRLB-Driven Beamforming and Power Allocation for Multi-BS Cooperative ISAC Networks

Yanpeng Su, Maximilian Lübke, Mengyu Zhang +1

This paper presents a Cramér-Rao lower bound (CRLB)-driven beamforming (BF) and power allocation (PA) framework for cooperative integrated sensing and communication (ISAC) networks…

eess.SP2026

Multi-Agent Reinforcement Learning for Base Station Placement in TDOA-Based Localization

Bastian Perner, Pratik Gajanan Raut, Maximilian Lübke +1

Accurate localization of devices is a key capability for emerging 5G and 6G networks and depends on effective base station (BS) placement. Conventional geometry-based approaches su…

eess.SP2026

Fundamental Sensing Limits of 6G Cooperative MIMO-ISAC Networks: Joint Position-Velocity CRLB and Decoupling Analysis

Yanpeng Su, Norman Franchi, Maximilian Lübke

This paper presents a Cramér-Rao lower bound (CRLB)-based performance bound analysis of cooperative multiple-input multiple-output (MIMO) integrated sensing and communications (ISA…

eess.SP2026

Multiuser MIMO-AFDM Beamforming for ISAC in Doubly Dispersive Channels

Rang Liu, Ming Li, A. Lee Swindlehurst +2

Integrated sensing and communication (ISAC) in high-mobility channels requires waveform and beamforming designs that are robust to delay-Doppler dispersion. With this in mind, in t…

eess.SP2026

On the Feasibility of Passive Bistatic ISAC Based on Unmodified LoRa

Laurenz Taffner, Jonas Bönsch, Norman Franchi +1

Integrated Sensing and Communication (ISAC) enables sensing capabilities by reusing communication signals, making it particularly attractive for large-scale deployments through sig…

eess.SP2026

On Unified CRLB Framework from Generic Signals to ISAC Waveforms with Virtual Array Sensing

Yanpeng Su, Norman Franchi, Maximilian Lübke

This paper presents a unified Cramér-Rao lower bound (CRLB) framework for signal-level parameters in integrated sensing and communications (ISAC)-enabled radar systems. Starting fr…

eess.SP2026

Convergence Time Distributions for Max-Consensus over Unreliable Networks

Katharina Stich, Bastian Perner, Friedemann Laue +2

This paper proposes the LiFE-CD algorithm for convergence time analysis of the max-consensus algorithm in multi-agent systems under Bernoulli-distributed link failures. Unlike exis…

eess.SP2025

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective

Victor Shatov, Steffen Schieler, Charlotte Muth +11

The sixth-generation wireless communications (6G) is often labeled as "connected intelligence". Radio sensing, aligned with machine learning (ML) and artificial intelligence (AI),…

eess.SP2025

Hardware Limitations and Optimization Approach in 1-Bit RIS Design at 28 GHz

Hossein Rezaei, Mehmet Emin Arslan, George Yammine +2

Reconfigurable intelligent surfaces (RIS) have emerged as a transformative technology for electromagnetic (EM) wave manipulation, offering unprecedented control over wave reflectio…

eess.SP2024★ 3 cited

How connected cars could capture cloud dynamics -- first evidence from two simulation scenarios

Tobias Veihelmann, Philipp Reitz, Maximilian Lübke +1

The rapidly increasing share of fluctuating electricity from photovoltaics calls for accurate approaches to estimate cloud motion, the primary source for the varying power supply.…

eess.SP2018★ 3 cited

Reliable Low Latency Wireless Communication Enabling Industrial Mobile Control and Safety Applications

Sergiy Melnyk, Abraham Gebru Tesfay, Khurshid Alam +8

Advanced industrial applications for human-machine interaction such as augmented reality support for maintenance works or mobile control panels for operating production facility se…