Malicious RIS Versus Massive MIMO: Securing Multiple Access Against RIS-Based Jamming Attacks
In this letter, we study an attack that leverages a reconfigurable intelligent surface (RIS) to induce harmful interference toward multiple users in […]
Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems
Hybrid beamforming (HBF) is a key enabler for millimeter-wave (mmWave) communications systems, but HBF optimizations are often non-convex and of large dimension. […]
Multi-User Data Detection in Massive MIMO with 1-Bit ADCS
We provide new analytical results on the uplink data detection in massive multiple-input multiple-output systems with 1-bit analog-to-digital converters. The statistical properties […]
Enforcing Statistical Orthogonality in Massive MIMO Systems via Covariance Shaping
This paper tackles the problem of downlink data transmission in massive multiple-input multiple-output (MIMO) systems where user equipments (UEs) exhibit high spatial […]
Spectral Efficiency Analysis of Hybrid Relay-Reflecting Intelligent Surface-Assisted Cell-Free Massive MIMO Systems
A cell-free (CF) massive multiple-input-multiple-output (mMIMO) system can provide uniform spectral efficiency (SE) with simple signal processing. On the other hand, a […]
Predistortion-Based Linearization for 5G and Beyond Millimeter-Wave Transceiver Systems
The next-generation (5G/6G) wireless communication aims to leapfrog the currently occupied sub-6 GHz spectrum to the wideband millimeter-wave (MMW) spectrum. However MMW […]
Massive MIMO With Radio Stripes for Indoor Wireless Energy Transfer
Radio frequency wireless energy transfer (WET) is a promising solution for powering autonomous Internet of Things (IoT) deployments. In this work we […]
Deep Learning for Massive MIMO Uplink Detectors
Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of attention in both academia and industry. Detection techniques have a […]
Massive Wireless Energy Transfer With Statistical CSI Beamforming
Wireless energy transfer (WET) is a promising solution to enable massive machine-type communications (mMTC) with low-complexity and low-powered wireless devices. Given the […]
Application of Deep Learning to Sphere Decoding for Large MIMO Systems
Although the sphere decoder (SD) is a powerful detector for multiple-input multiple-output (MIMO) systems, it has become computationally prohibitive in massive MIMO […]