43 citations · 171 across the 38 of their papers we have counts for
43 papers
Conformal Decode-or-Erase: Certified Spiking Decoding for Short-Packet URLLC
Zihang Song, Kai Yu, Anders E. Kalør +1
Ultra-reliable low-latency communication (URLLC) must deliver short packets within a hard deadline at low error probability. A conventional receiver waits for the full packet befor…
Black-Box Edge AI Model Selection with Conformal Latency and Accuracy Guarantees
Anders E. Kalør, Tomoaki Ohtsuki
Edge artificial intelligence (AI) will be a central part of 6G, with powerful edge servers supporting devices in performing machine learning (ML) inference. However, it is challeng…
Data Sourcing Random Access using Semantic Queries for Massive IoT Scenarios
Anders E. Kalør, Petar Popovski, Kaibin Huang
Efficiently retrieving relevant data from massive Internet of Things (IoT) networks is essential for downstream tasks such as machine learning. This paper addresses this challenge…
Content-based Wake-up for Energy-efficient and Timely Top-k IoT Sensing Data Retrieval
Junya Shiraishi, Anders E. Kalør, Israel Leyva-Mayorga +3
Energy efficiency and information freshness are key requirements for sensor nodes serving Industrial Internet of Things (IIoT) applications, where a sink node collects informative…
Prediction of Rare Channel Conditions using Bayesian Statistics and Extreme Value Theory
Tobias Kallehauge, Anders E. Kalør, Pablo Ramírez-Espinosa +2
Estimating the probability of rare channel conditions is a central challenge in ultra-reliable wireless communication, where random events, such as deep fades, can cause sudden var…
Ultra-Low-Latency Edge Inference for Distributed Sensing
Zhanwei Wang, Anders E. Kalør, You Zhou +2
There is a broad consensus that artificial intelligence (AI) will be a defining component of the sixth-generation (6G) networks. As a specific instance, AI-empowered sensing will g…
Unified Timing Analysis for Closed-Loop Goal-Oriented Wireless Communication
Lintao Li, Anders E. Kalør, Petar Popovski +1
Goal-oriented communication has become one of the focal concepts in sixth-generation communication systems owing to its potential to provide intelligent, immersive, and real-time m…
Experimental Study of Spatial Statistics for Ultra-Reliable Communications
Tobias Kallehauge, Anders E. Kalør, Fengchun Zhang +1
This paper presents an experimental validation for prediction of rare fading events using channel distribution information (CDI) maps that predict channel statistics from measureme…
Wireless 6G Connectivity for Massive Number of Devices and Critical Services
Anders E. Kalør, Giuseppe Durisi, Sinem Coleri +4
Compared to the generations up to 4G, whose main focus was on broadband and coverage aspects, 5G has expanded the scope of wireless cellular systems towards embracing two new types…
Goal-Oriented Scheduling in Sensor Networks with Application Timing Awareness
Josefine Holm, Federico Chiariotti, Anders E. Kalør +3
Taking inspiration from linguistics, the communications theoretical community has recently shown a significant recent interest in pragmatic , or goal-oriented, communication. In th…
Timely and Massive Communication in 6G: Pragmatics, Learning, and Inference
Deniz Gündüz, Federico Chiariotti, Kaibin Huang +3
5G has expanded the traditional focus of wireless systems to embrace two new connectivity types: ultra-reliable low latency and massive communication. The technology context at the…
Learning-Based Rich Feedback HARQ for Energy-Efficient Uplink Short Packet Transmission
Martin Voigt Vejling, Federico Chiariotti, Anders Ellersgaard Kalør +3
The trade-off between reliability, latency, and energy efficiency is a central problem in communication systems. Advanced hybrid automated repeat request (HARQ) techniques reduce r…
Over-the-Air Multi-View Pooling for Distributed Sensing
Zhiyan Liu, Qiao Lan, Anders E. Kalør +2
Sensing is envisioned as a key network function of the 6G mobile networks. Artificial intelligence (AI)-empowered sensing fuses features of multiple sensing views from devices dist…
Unsourced Multiple Access with Common Alarm Messages: Network Slicing for Massive and Critical IoT
Khac-Hoang Ngo, Giuseppe Durisi, Alexandre Graell i Amat +3
We investigate the coexistence of massive and critical Internet of Things (IoT) services in the context of the unsourced multiple access (UMA) framework introduced by Polyanskiy (2…
A Decentralized Policy for Minimization of Age of Incorrect Information in Slotted ALOHA Systems
Anupam Nayak, Anders E. Kalør, Federico Chiariotti +1
The Age of Incorrect Information (AoII) is a metric that can combine the freshness of the information available to a gateway in an Internet of Things (IoT) network with the accurac…
Query Timing Analysis for Content-based Wake-up Realizing Informative IoT Data Collection
Junya Shiraishi, Anders E. Kalør, Federico Chiariotti +3
Information freshness and high energy-efficiency are key requirements for sensor nodes serving Industrial Internet of Things (IIoT) applications, where a sink node must collect inf…
Delivering Ultra-Reliable Low-Latency Communications via Statistical Radio Maps
Tobias Kallehauge, Anders E. Kalør, Pablo Ramírez-Espinosa +2
High reliability guarantees for Ultra-Reliable Low-Latency Communications (URLLC) require accurate knowledge of channel statistics, used as an input for rate selection. Exploiting…
Traffic Prediction and Fast Uplink for Hidden Markov IoT Models
Eslam Eldeeb, Mohammad Shehab, Anders E. Kalor +2
In this work, we present a novel traffic prediction and fast uplink framework for IoT networks controlled by binary Markovian events. First, we apply the forward algorithm with hid…
Predictive Rate Selection for Ultra-Reliable Communication using Statistical Radio Maps
Tobias Kallehauge, Pablo Ramìrez-Espinosa, Anders E. Kalør +2
This paper proposes exploiting the spatial correlation of wireless channel statistics beyond the conventional received signal strength maps by constructing statistical radio maps t…
Scheduling of Sensor Transmissions Based on Value of Information for Summary Statistics
Federico Chiariotti, Anders E. Kalør, Josefine Holm +2
The optimization of Value of Information (VoI) in sensor networks integrates awareness of the measured process in the communication system. However, most existing scheduling algori…
Common Message Acknowledgments: Massive ARQ Protocols for Wireless Access
Anders E. Kalør, Radosław Kotaba, Petar Popovski
Massive random access plays a central role in supporting the Internet of Things (IoT), where a subset of a large population of users simultaneously transmit small packets to a cent…
Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value
Petar Popovski, Federico Chiariotti, Victor Croisfelt +5
Internet of Things (IoT) connectivity has a prominent presence in the 5G wireless communication systems. As these systems are being deployed, there is a surge of research efforts a…
Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices
Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti +2
A central use case for the Internet of Things (IoT) is the adoption of sensors to monitor physical processes, such as the environment and industrial manufacturing processes, where…
Prediction of mmWave/THz Link Blockages through Meta-Learning and Recurrent Neural Networks
Anders E. Kalør, Osvaldo Simeone, Petar Popovski
Wireless applications that use high-reliability low-latency links depend critically on the capability of the system to predict link quality. This dependence is especially acute at…