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Found 42 papers, 3 papers with code
User-Movement-Robust Virtual Reality Through Dual-Beam Reception in mmWave Networks
Evaluation using actual HMD movement data demonstrates the effectiveness of our approach, showcasing a reduction in outage rates of up to 13% compared to quasi-omnidirectional reception with two serving APs, and a 17% decrease compared to steerable single-beam reception with a serving AP.
Balanced Space- and Time-based Duty-cycle Scheduling for Light-based IoT
We propose a Balanced Space and Time-based Time Division Multiple Access scheduling (BST-TDMA) algorithm, which addresses environmental sensing challenges by balancing spatial and temporal factors to improve the environmental sensing efficiency of batteryless LIoT nodes.
Internet of Things Networks: Enabling Simultaneous Wireless Information and Power Transfer
The number of sensors deployed in the world is expected to explode in the near future.
Cell-free Massive MIMO with Sequential Fronthaul Architecture and Limited Memory Access Points
We investigate the impact of the limited memory capacity in the APs on the optimal number of APs.
Batteryless BLE and Light-based IoT Sensor Nodes for Reliable Environmental Sensing
The sustainable design of Internet of Things (IoT) networks encompasses considerations related to energy efficiency and autonomy as well as considerations related to reliable communications, ensuring no energy is wasted on undelivered data.
Distributed PMCW Radar Network in Presence of Phase Noise
The paper introduces a detailed signal model for PMCW radar networks, analyzing both correlated and uncorrelated phase noise effects in the Doppler dimension.
Computational Efficient Width-Wise Early Exiting in Wireless Communication Systems
Through this work, we present a practical solution for reducing computational demands in deep learning applications, particularly within the domain of wireless communication.
Joint Sequential Fronthaul Quantization and Hardware Complexity Reduction in Uplink Cell-Free Massive MIMO Networks
We show that 1) de-correlating the received signal vector at each AP from the corresponding vectors of the previous APs (inter-AP de-correlation) and 2) de-correlating the dimensions of the received signal vector at each AP (intra-AP de-correlation) before quantization helps to use the quantization bits at each AP more efficiently than directly quantizing the received signal vector without any pre-processing and consequently, improves the bit error rate (BER) and normalized mean square error (NMSE) of users signal estimation.
Location-Based Load Balancing for Energy-Efficient Cell-Free Networks
However, these CF mMIMO networks are designed for peak traffic loads, and when this is not the case, they are significantly over-dimensioned and not at all energy efficient.
Distributed Deep Learning for Modulation Classification in 6G Cell-Free Wireless Networks
However, the integration of intelligent mechanisms is crucial for optimizing the efficiency, scalability, and adaptability of these 6G cell-free networks.
Electric Field Evaluation of Reconfigurable Intelligent Surface in Wireless Networks
The results show that the EMF exposure risk is negligible when RIS works in the reflective-only (RO) mode.
Walsh-domain Neural Network for Power Amplifier Behavioral Modelling and Digital Predistortion
A key baseband algorithm, digital predistortion using NN models for PA linearization, will be adapted to the parallel Walsh architecture.
CSI Measurements and Initial Results for Massive MIMO to UAV Communication
Non-Terrestrial Network (NTN) has been envisioned as a key component of the sixth-generation (6G) mobile communication system.
Sequential Processing in Cell-free Massive MIMO Uplink with Limited Memory Access Points
However, we show that in case of limited memory capacity at each AP, the memory capacity to store the received signal vectors at the final AP of this fronthaul becomes a limiting factor.
Vital Signs Estimation Using a 26 GHz Multi-Beam Communication Testbed
The results show that the estimated breath rate and heart rate reach below 2 beats per minute (bpm) error compared to the reference captured by on-body sensor for the single-person monostatic sensing scenario with body-transceiver distance up to 2 m, and the two-person bistatic sensing scenario with BS-UE distance up to 4 m. The presented work does not optimize the OFDM waveform parameters for sensing; it demonstrates a promising JCAS proof-of-concept in contact-free vital sign monitoring using mmWave multi-beam communication systems.
An MRL-Based Design Solution for RIS-Assisted MU-MIMO Wireless System under Time-Varying Channels
Our approach improves the sum rate by more than 60% under time-varying CSI assumption while maintaining the advantages of typical DRL-based solutions.
6G Wireless Communications in 7-24 GHz Band: Opportunities, Techniques, and Challenges
Thus, as an inevitable prerequisite, a comprehensive investigation encompassing spectrum utilization and channel characteristics is the first step to exploiting potential applications and prospects of using FR3 in the 6G ecosystem.
ecoBLE: A Low-Computation Energy Consumption Prediction Framework for Bluetooth Low Energy
Bluetooth Low Energy (BLE) is a de-facto technology for Internet of Things (IoT) applications, promising very low energy consumption.
Sensing with OFDM Waveform at mmWave Band based on Micro-Doppler Analysis
Joint communication and sensing (JCAS) technology has been regarded as one of the innovations in the 6G network.
Probability of Line of Sight Evaluation in Urban Environments using 3D Simulator
Using these simulators, we assess the accuracy of existing models for $\mathbf{P_{LoS}}$ estimation and examine $\mathbf{P_{LoS}}$ for different UAV heights, user-UAV distances, and azimuth/elevation angles.
Enabling Low-Overhead Over-the-Air Synchronization Using Online Learning
Accurate network synchronization is a key enabler for services such as coherent transmission, cooperative decoding, and localization in distributed and cell-free networks.
Path Loss Analysis for Low-Altitude Air-to-Air Millimeter-Wave Channel in Built-Up Area
Then, the path loss under different propagation conditions is investigated to obtain an integrated path loss model.
Cell-Free Massive MIMO in the O-RAN Architecture: Cluster and Handover Strategies
Cell-free Massive MIMO has emerged as a promising solution for next-generation radio networks.
Massive MIMO Channel Measurement Data Set for Localization and Communication
We also show this data can be used for learning-based localization and enhanced communication research.
Intelligent Blockage Recognition using Cellular mmWave Beamforming Data: Feasibility Study
Joint Communication and Sensing (JCAS) is envisioned for 6G cellular networks, where sensing the operation environment, especially in presence of humans, is as important as the high-speed wireless connectivity.
Impact of Reconfigurable Intelligent Surface Geometry on Communication Performance
When beamforming is applied at the transmitter, only part of reconfigurable intelligent surfaces (RISs) will be active, and it becomes indispensable to study the impact of RIS geometry.
Reducing safe UAV separation distances with U2U communication and new Remote ID formats
As the number of Unmanned Aerial Vehicles (UAVs) in the airspace grows, ensuring that the aircraft do not collide becomes vital for further technology development.
Ubiquitous Indoor Fine-Grained Positioning and Tracking: A Channel Response Perspective
Then, we present a micro-benchmark of channel response-based direct positioning and tracking for both device-based and contact-free schemes.
Contact-Free Multi-Target Tracking Using Distributed Massive MIMO-OFDM Communication System: Prototype and Analysis
To evade the complex association problem of distributed massive MIMO-based MTT, we propose to use a complex Bayesian compressive sensing (CBCS) algorithm to estimate the targets' locations based on the extracted target-of-interest CSI signal directly.
Guard Beam: Protecting mmWave Communication through In-Band Early Blockage Prediction
We derive a channel model for the pre-shadowing event, design a moving blockage detection algorithm for the guard beam, and evaluate the performance of the guard beam theoretically and experimentally based on the measurement campaign using our mmWave testbed.
Drone technology: interdisciplinary systematic assessment of knowledge gaps and potential solutions
Despite being a hot research topic for a decade, drones are still not part of our everyday life.
Avoiding normalization uncertainties in deep learning architectures for end-to-end communication
Recently, deep learning is considered to optimize the end-to-end performance of digital communication systems.
Towards Fine-Grained Indoor Localization based on Massive MIMO-OFDM System: Experiment and Analysis
On top of the available MPCs, we propose a generalized fingerprinting system based on different single-metric and hybrid-metric schemes.
Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications
By proposing a framework of Edge Computing Assisted Autonomous Flight (ECAAF), we illustrate that vision and communications can interact with and assist each other with the aid of edge computing and offloading, and further speed up the UAV mission completion.
Edge-computing
Trajectory Planning
Networking and Internet Architecture
Robotics
Systems and Control
Systems and Control
Massive MIMO goes Sub-GHz: Implementation and Experimental Exploration for LPWANs
The assessment demonstrates the effect of channel hardening as well as the potential benefits of the experienced array gain.
Drone classification from RF fingerprints using deep residual nets
With the help of a newly proposed residual Convolutional Neural Network (CNN) model, we show that the drone RF frequency signatures can be used for effective classification.
3D beamforming and handover analysis for UAV networks
In future drone applications fast moving unmanned aerial vehicles (UAVs) will need to be connected via a high throughput ultra reliable wireless link.
Spectrum Sharing Strategies for UAV-to-UAV Cellular Communications
In this article, we consider a cellular network deployment where UAV-to-UAV (U2U) transmit-receive pairs coexist with the uplink (UL) of cellular ground users (GUEs).
A Blind Beam Tracking Scheme for Millimeter Wave Systems
Millimeter-wave is one of the technologies powering the new generation of wireless communication systems.
A multi-layered energy consumption model for smart wireless acoustic sensor networks
This model provides a first step of exploration prior to custom design of a smart wireless acoustic sensor, and also can be used to compare the energy consumption of different protocols.
SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features
Detecting anomalous behavior in wireless spectrum is a demanding task due to the sheer complexity of the electromagnetic spectrum use.
Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors
We show that a LSTM based model can learn good representations of variable length time domain sequences, which is useful in classifying modulation signals with different symbol rates.
Networking and Internet Architecture
