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Found 26 papers, 1 papers with code
Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection
Codebook-based beam selection is one approach for configuring millimeter wave communication links.
Neural Codebook Design for Network Beam Management
Obtaining accurate and timely channel state information (CSI) is a fundamental challenge for large antenna systems.
Hierarchical ML Codebook Design for Extreme MIMO Beam Management
Beam management is a strategy to unify beamforming and channel state information (CSI) acquisition with large antenna arrays in 5G.
Electromagnetic manifold characterization of antenna arrays
Antenna behaviors such as mutual coupling, near-field propagation, and polarization cannot be neglected in signal and channel models for wireless communication.
Joint Band Assignment and Beam Management using Hierarchical Reinforcement Learning for Multi-Band Communication
In this paper, we formulate a sequential decision problem to jointly perform band assignment and beam management.
Sparse RF Lens Antenna Array Design for AoA Estimation in Wideband Systems: Placement Optimization and Performance Analysis
In this paper, we propose a novel architecture for a lens antenna array (LAA) designed to work with a small number of antennas and enable angle-of-arrival (AoA) estimation for advanced 5G vehicle-to-everything (V2X) use cases that demand wider bandwidths and higher data rates.
Hierarchical Codebook Design with Dynamic Metasurface Antennas for Energy-Efficient Arrays
While the DMA provides lower spectral efficiency results than the active phased array, the DMA achieves a higher energy efficiency because of the significant power consumption for the active phase shifters.
ML Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6GHz 5G NR
In this paper, we characterize the role of each codebook used during the beam management process and design a neural network to find codebooks that improve overall system performance.
Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays
Massive multiple-input multiple-output (MIMO) is an important technology in fifth generation (5G) cellular networks and beyond.
Joint Relay Selection and Beam Management Based on Deep Reinforcement Learning for Millimeter Wave Vehicular Communication
In this regard, we formulate a sequential decision problem to jointly optimize relay selection and beam management.
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques
With the advances in multi-antenna technologies largely for radar and communications, there has been a great interest on beamformer design mostly relying on convex/nonconvex optimization.
Multi-user Downlink Beamforming using Uplink Downlink Duality with 1-bit Converters for Flat Fading Channels
In this paper, we consider a fully digital base station equipped with 1-bit analog-to-digital (in uplink) and digital-to-analog (in downlink) converters on each radio frequency chain.
A wideband generalization of the near-field region for extremely large phased-arrays
The narrowband and far-field assumption in conventional wireless system design leads to a mismatch with the optimal beamforming required for wideband and near-field systems.
Optimizing the Deployment of Reconfigurable Intelligent Surfaces in MmWave Vehicular Systems
Millimeter wave (MmWave) systems are vulnerable to blockages, which cause signal drop and link outage.
Integration of Radar Sensing into Communications with Asynchronous Transceivers
Clock asynchronism is a critical issue in integrating radar sensing into communication networks.
Multi-armed Bandits for Link Configuration in Millimeter-wave Networks
As an example, we show that within the MAB framework, the optimal beam sweeping period, beamwidth, and beam directions could be dynamically learned with sample-computational-efficient bandit algorithms.
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning
Today, various machine learning (ML) applications offer continuous data processing and real-time data analytics at the edge of a wireless network.
Circulant Shift-based Beamforming for Secure Communication with Low-resolution Phased Arrays
Using simulations, we study the performance of the proposed defense technique against a greedy eavesdropping strategy in a vehicle-to-infrastructure scenario.
SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network
In simulation, we find that our algorithm is always able to surpass the threshold for three-bit data but often cannot exceed the threshold for one-bit data.
5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning
The increasing complexity of configuring cellular networks suggests that machine learning (ML) can effectively improve 5G technologies.
Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems
We design fully-connected layers to optimize channel acquisition and beam alignment.
Waveform Design and Accurate Channel Estimation for Frequency-Hopping MIMO Radar-Based Communications
In this paper, we develop accurate methods for a single-antenna communication receiver to estimate timing offset and channel for FH-MIMO DFRC.
Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar
To rapidly estimate the mmWave automotive radar channel in the Doppler-angle domain with a wide field-of-view, our JCR design employs a few circulant shifts of the transmit beamformer and apply two-dimensional partial Fourier compressed sensing technique.
InFocus: A spatial coding technique to mitigate misfocus in near field LoS beamforming
In this paper, we investigate the misfocus effect and propose InFocus, a low complexity technique to construct beams that are well suited for massive wideband phased arrays.
Site-specific online compressive beam codebook learning in mmWave vehicular communication
Furthermore, based on the CS channel measurements, we develop techniques to update and learn such channel AoD statistics at the BS.
MmWave MU-MIMO for Aerial Networks
Millimeter wave offers high bandwidth for air-to-air (A2A) communication.
