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M. Debbah

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Preprint Oct 2026

An Efficient SIM Beamforming Scheme Based on Physical-Empowered Projected Gradient

Stacked Intelligent Metasurfaces (SIMs) have emerged as a promising technology for next-generation wireless systems. Especially in multi-input multi-output (MIMO) systems, it has the potential to realize complicated wave-domain transformations with low hardware costs and energy consumption. However, SIM-assisted MIMO s...

Yu-Zhi Yang, Hao Liu, Tian-Hao Guo et al. · 1 citation
Open access 2026

Blind Sensing of Signals in Spatially Correlated Noise: Performance and Fundamental Limits

A critical signal-to-noise ratio (SNR) threshold is determined; for operational SNR values below this threshold, the leading eigenvalue exhibits no statistical power in the high-dimensional regime, and a distinct scaling requirement for detection power is revealed.

P. Dharmawansa, Saman Atapattu, Jamie S. Evans et al. · 0 citations
Open access 2026

Off-Grid Sparse Bayesian Learning for Direct Localization of Cyclostationary Sources With Adaptive Grid Refinement

The growing number of emitters and interferences in 5G and beyond, coupled with limited array resources, poses significant challenges to high-precision passive localization. This paper addresses the off-grid direct position determination problem for cyclostationary signals in the presence of interference. We propose a...

Yue-Xian Wang, Yi-Quan Zhang, Chuang Han et al. · 0 citations
#machine learning Preprint Oct 2026

Leveraging Quantum Measurement Randomness for Shot-Efficient Diffusion Models

This paper uses the noise quantum measurement produces anyway to replace part of the noise the sampler would otherwise inject to replace part of the noise the sampler would otherwise inject in the denoising diffusion implicit model.

Tian-Hao Guo, Dian-Xin Zheng, Yu-Hua Qian et al. · 0 citations
Preprint Oct 2026

DeepTelecom: A Differentiable Multimodal Framework for Channel Twinning in Dynamic Heterogeneous Wireless Environments

Large-scale multimodal data are a key enabler for integrating large generative artificial intelligence models into wireless networks. However, existing wireless datasets offer limited support for heterogeneous environments, particularly in terms of reusable high-fidelity scenes, scalable differentiable ray tracing, and...

Bo-Hao Wang, Tian Yuan, W. Yen et al. · 0 citations
Preprint Oct 2026

Learning or Modeling? Virtual XL-RIS Observation Reconstruction for Near-Field Sensing

A passive extremely large-scale reconfigurable intelligent surface (XL-RIS) offers a position-sensitive aperture for near-field sensing, but its element-wise signals are not directly observed. Recovering this virtual RIS observation (VOR) from fewer base-station measurements requires prior information. This paper inves...

Tuo Wu, Jie Tang, Jia-Cheng Wang et al. · 0 citations
Aug 2026

Projected Physical Gradient Method for Efficient Beamforming Based on SIMs

Stacked Intelligent Metasurfaces (SIMs) are promising for next-generation multi-input multi-output (MIMO) systems, as they can realize low-cost and energy-efficient wavedomain transformations. However, SIM-assisted MIMO systems face challenging channel estimation and beamforming optimization, since passive SIM elements...

Yu-Zhi Yang, Hao Liu, Lu Gan et al. · 0 citations
Review Open access 2026

Exploring the Capabilities of xApps in O-RAN: From Conceptualization to Practical Implementation

This paper serves as a foundation for researchers and practitioners to explore the key concepts, primary applications, and potential impacts of xApps in the open radio access network (O-RAN) architecture. We provide background information and examples related to xApps and discuss several fundamental concepts to familia...

Christof A. O. Rauber, Mohammad Asif Habibi, X. Costa-Pérez et al. · 0 citations
Preprint Aug 2026

Electromagnetic Twin: From Sparse Measurements to Persistent Wireless Intelligence

Radio maps and channel knowledge maps provide reusable propagation knowledge, but a stored map can become locally outdated after persistent changes to doors, partitions, furniture, large equipment, or infrastructure. Motivated by digital-twin state synchronization, we develop an electromagnetic twin that recurrently co...

Tuo Wu, Li-Feng Mai, Jie Tang et al. · 0 citations
Preprint Sep 2026

Vision-Wireless Fusion for Multi-User Localization: A Cross-Modal Transformer Approach

Accurate multi-user localization is challenging in complex urban environments, where wireless measurements can become ambiguous under noise, blockage, and multipath, while visual observations provide complementary spatial context. This paper presents a vision-wireless fusion framework for multi-user localization using...

Can Zheng, Ji-Guang He, Guo-Fa Cai et al. · 0 citations
#machine learning Preprint Sep 2026

Geometry-Aided Channel Deduction with Partial Channel Estimates and Uncalibrated Digital Twin

The acquisition of high-dimensional channel state information (CSI) in wireless MIMO-OFDM communications usually requires high pilot overhead, or relies on accurate and complete positional or environmental information. In this paper, we propose a geometry-aided channel deduction (GCD) approach, which utilizes an uncali...

Hong-Ning Ruan, Zhao-Yang Zhang, Zi-Rui Chen et al. · 0 citations
Review Open access 2026

Transport Network Management and Orchestration in 6G O-RAN: Standards, Frameworks, and Proposals

A unified architectural framework is proposed that explicitly integrates TN M&O within the SMO, leveraging key principles from a set of standard-compliant frameworks, and enables coordinated M&O of compute, storage, and TN resources.

Khurshid Alam, Mohammad Asif Habibi, X. Costa-Pérez et al. · 0 citations

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