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Found 26 papers, 1 papers with code
Robust Snapshot Radio SLAM
The intrinsic geometric connections between millimeter-wave (mmWave) signals and the propagation environment can be leveraged for simultaneous localization and mapping (SLAM) in 5G and beyond networks.
Time vs. Frequency Domain DPD for Massive MIMO: Methods and Performance Analysis
The use of up to hundreds of antennas in massive multi-user (MU) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) poses a complexity challenge for digital predistortion (DPD) aiming to linearize the nonlinear power amplifiers (PAs).
Millimeter-wave Radio SLAM: End-to-End Processing Methods and Experimental Validation
In this article, we address the timely topic of cellular bistatic simultaneous localization and mapping (SLAM) with specific focus on complete processing solutions from raw I/Q samples to user equipment (UE) and landmark location information in millimeter-wave (mmWave) networks.
JrCUP: Joint RIS Calibration and User Positioning for 6G Wireless Systems
In the second stage, a two-dimensional search algorithm is proposed to estimate the three-dimensional user and RIS positions, one-dimensional RIS orientation, and clock bias from the estimated channel parameters.
Joint RIS Calibration and Multi-User Positioning
Reconfigurable intelligent surfaces (RISs) are expected to be a key component enabling the mobile network evolution towards a flexible and intelligent 6G wireless platform.
MmWave Mapping and SLAM for 5G and Beyond
We distinguish the different types of sensing problems and then focus on mapping and SLAM as running examples.
Doppler Exploitation in Bistatic mmWave Radio SLAM
Networks in 5G and beyond utilize millimeter wave (mmWave) radio signals, large bandwidths, and large antenna arrays, which bring opportunities in jointly localizing the user equipment and mapping the propagation environment, termed as simultaneous localization and mapping (SLAM).
Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification
During the inference, a multi-packet inference approach is further leveraged to improve the classification accuracy in low SNR scenarios.
Frequency-domain digital predistortion for Massive MU-MIMO-OFDM Downlink
In this paper, we propose a convolutional neural network (CNN)-based DPD in the frequency domain, taking place before the precoding, where the dimensionality of the signal space depends on the number of users, instead of the number of BS antennas.
Flexible fast-convolution processing for cellular radio evolution
Orthogonal frequency-division multiplexing (OFDM) has been selected as a baseline waveform for long-term evolution (LTE) and fifth-generation new radio (5G NR).
Iterated Posterior Linearization PMB Filter for 5G SLAM
In this paper, we study the linearization of the measurement function with respect to the posterior PDF, and implement the iterated posterior linearization filter into the Poisson multi-Bernoulli SLAM filter.
Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices
Data augmentation is adopted to improve low SNR RFFI performance.
Phase Noise Resilient Three-Level Continuous-Phase Modulation for DFT-Spread OFDM
A novel OFDM-based waveform with low peak-to-average power ratio (PAPR) and high robustness against phase noise (PN) is presented.
Beamformer Design and Optimization for Full-Duplex Joint Communication and Sensing at mm-Waves
We then also propose new transmitter and receiver beamforming solutions for purely analog beamforming based JCAS systems that maximize the beamforming gain at the sensing direction while controlling the beamformed power at the communications direction(s), cancelling the SI as well as eliminating the potential reflection from the communication direction and optimizing the combined radar pattern (CRP).
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM
Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the propagation channel.
Converging Radar and Communications in the Superposition Transmission
Under communications quality-of-service (QoS) constraints, the joint performance region of communications sum rate and radar estimation error variance is studied.
mmWave Simultaneous Localization and Mapping Using a Computationally Efficient EK-PHD Filter
Future cellular networks that utilize millimeter wave signals provide new opportunities in positioning and situational awareness.
HybridDeepRx: Deep Learning Receiver for High-EVM Signals
In this paper, we propose a machine learning (ML) based physical layer receiver solution for demodulating OFDM signals that are subject to a high level of nonlinear distortion.
Millimeter-wave Mobile Sensing and Environment Mapping: Models, Algorithms and Validation
Integrating efficient connectivity, positioning and sensing functionalities into 5G New Radio (NR) and beyond mobile cellular systems is one timely research paradigm, especially at mm-wave and sub-THz bands.
DECT-2020 New Radio: The Next Step Towards 5G Massive Machine-Type Communications
Massive machine type communications (mMTC) is one of the cornerstone services that have to be supported by 5G systems.
Networking and Internet Architecture
Joint Positioning and Tracking via NR Sidelink in 5G-Empowered Industrial IoT: Releasing the Potential of V2X Technology
The fifth generation (5G) mobile networks with enhanced connectivity and positioning capabilities play an increasingly important role in the development of automated vehicle-to-everything (V2X) and other advanced industrial Internet of Things (IoT) systems.
Frequency-Domain Signal Processing for Spectrally-Enhanced CP-OFDM Waveforms in 5G New Radio
These schemes are based on dynamically adjusting the overlap periods and extrapolating the CP samples, which make it possible to align the FC blocks with each OFDM symbol, even in case of variable CP lengths.
6G White Paper on Localization and Sensing
This white paper concludes by highlighting foundational research challenges, as well as implications and opportunities related to privacy, security, and trust.
Mobile Communications Beyond 52.6 GHz: Waveforms, Numerology, and Phase Noise Challenge
In this article, the first considerations for the 5G New Radio (NR) physical layer evolution to support beyond 52. 6GHz communications are provided.
Gradient-Adaptive Spline-Interpolated LUT Methods for Low-Complexity Digital Predistortion
The results show that the linearization capabilities of the proposed methods are very close to that of the ordinary MP DPD, particularly with the proposed SMP approach, while having substantially lower processing complexity.
Digital Predistortion for Multiuser Hybrid MIMO at mmWaves
Efficient mitigation of power amplifier (PA) nonlinear distortion in multi-user hybrid precoding based broadband mmWave systems is an open research problem.
