News and Announcements
Falko Dressler joined WIoT @ Northeastern University as visiting faculty
September 03, 2024
Falko Dressler spends a sabbatical at the Institute for the Wireless Internet of Things (WIoT) at Northeastern University in Boston, MA during the fall semester 2024. His focus is on intensifying the ongoing and starting new research collaborations.
(link to more information)New IEEE Transactions on Mobile Computing article
September 02, 2024
Our article Distributed Age-of-Information Scheduling with NOMA via Deep Reinforcement Learning has been accepted for publication in IEEE Transactions on Mobile Computing. Many emerging applications in edge computing require processing of huge volumes of data generated by end devices, using the freshest available information. In this paper, we address the distributed optimization of multi-user long-term average Age-of-Information (AoI) objectives in edge networks that use NOMA transmission. This poses a challenge of non-convex online optimization, which in existing work often requires either decision making in a combinatorial space or a global view of entire network states. To overcome this challenge, we propose a reinforcement learning-based framework that adopts a novel hierarchical decomposition of decision making. Specifically, we propose three different types of distributed agents to learn with respect to efficiency of AoI scheduling, fairness of AoI scheduling, as well as a high-level policy balancing these potentially conflicting design objectives.
(link to more information)New IEEE Transactions on Wireless Communications article
September 01, 2024
Our article Efficient UAV Hovering, Resource Allocation, and Trajectory Design for ISAC with Limited Backhaul Capacity has been accepted for publication in IEEE Transactions on Wireless Communications. In this paper, we investigate the joint resource allocation and trajectory design for a multi-user, multi-target unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) system, where the link capacity between a ground base station (BS) and the UAV is limited. We jointly optimize the UAV trajectory, UAV velocity, beamforming for the communication users, power allocated to the sensing beam, and time of hovering for sensing to minimize the power consumption of the UAV while ensuring the communication quality of service (QoS) and successful sensing.
(link to more information)New IEEE Open Journal of the Communications Society article
August 08, 2024
Our article Energy-Aware Cooperative Spectrum Sensing under Ignorance on Internet of Mobile Things has been accepted for publication in IEEE Open Journal of the Communications Society. The Internet of Things (IoT) enables the interconnection of multiple devices, typically sharing network resources. To extend the network lifetime, cooperative strategies have been proposed that modify the device operations between the ON/OFF states to conserve energy. However, the challenge is selecting active devices for spectrum sensing increases with mobile agents, referred to as Internet of Mobile Things (IoMT), since their positions may be unknown. To deal with this uncertainty, we propose using the ordered weighted averaging (OWA) operator, which provides a framework for decision-making under ignorance, to model the position uncertainty resulting from node movement.
(link to more information)Tutorial Session at IEEE MeditCom 2024
July 12, 2024
Jorge Torres Gómez gave a tutorial titled "Age of Information (AoI): A Tool for Designing Time-Critical Networks" at theIEEE International Mediterranean Conference on Communications and Networking (MeditCom 2024), which was held in Madrid, Spain. The tutorial was prepared in collaboration with Nikolaos Pappas from Linköping University in Sweeden. The session introduced the role of Age of Information in designing real-time networks. The concept was revisited and various uses cases and hands-on activities were presented to optimize the network operation.
(link to more information)New IEEE Transactions on Intelligent Transportation Systems article
July 08, 2024
Our article Where to Decide? Centralized vs. Distributed Vehicle Assignment for Platoon Formation has been accepted for publication in IEEE Transactions on Intelligent Transactions Systems. In this work, we explored the computation of vehicle-to-platoon assignments as an optimization problem based on similarity between vehicles. For this, we created three approaches to solve the assignment problem: centralized solver, centralized greedy, and distributed greedy, using a Mixed Integer Programming (MIP) solver and greedy heuristics, respectively.
(link to more information)Contributions to Berlin 6G Conference
July 02, 2024
The Telecommunication Networks Group (TKN) team has been showcasing our developments towards 6G at the Berlin 6G Conference. Our focus this time is on pyhisical layer, RIS, and ICAS. We are also co-organizer as part of 6G-Plattform.New Elsevier Computer Communications article
July 01, 2024
Our article Using Ranging for Collision-Immune IEEE 802.11 Rate Selection with Statistical Learning has been accepted for publication in Elsevier Computer Communications. We propose FTMRate, which applies statistical learning (a form of machine learning) to estimate the distance based on measurements, predicts channel quality from the distance, and selects data rates based on channel quality. We show that our approach has several positive features: it is resilient to collisions, provides near-instantaneous convergence, is compatible with commercial-off-the-shelf devices, and supports pedestrian mobility.
(link to more information)New IEEE Transactions on Molecular, Biological and Multi-Scale Communications article
June 27, 2024
Our article Age of Information-based Abnormality Detection with Decay in the Human Circulatory System has been accepted for publication in IEEE Transactions on Molecular, Biological and Multi-Scale Communications. In this work, we conducted an analysis of the impact of gateway placement and infection locations on detection time, detection ratio, and the average Peak Age of Information (PAoI). Furthermore, we also added decay of nanosensors similar to operation in the human body.
(link to more information)New IEEE Transactions on Molecular, Biological and Multi-Scale Communications article
June 23, 2024
Our article QL-based Adaptive Transceivers for the IoBNT Communications has been accepted for publication in IEEE Transactions on Molecular, Biological and Multi-Scale Communications. This paper introduces an adaptive transceiver scheme for bio-nano things (NTs) situated within blood vessels communicating through a time-varying molecular channel. The proposed scheme employs a Q-learning-based adaptive transceiver (a so-called QL-ADT), wherein an agent gradually learns how to adapt the transmission parameters to the current state of the channel.
(link to more information)
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Last modified: 2024-04-28
TKN is co-organizing
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- Using Ranging for Collision-Immune IEEE 802.11 Rate Selection with Statistical Learning
Appropriate data rate selection at the physical layer is crucial for Wi-Fi network performance: too high rates lead to loss of data frames, while too low rates cause i...
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- September 03, 2024
Falko Dressler joined WIoT @ Northeastern University as visiting faculty
Falko Dressler spends a sabbatical at the Institute for t... - September 02, 2024
New IEEE Transactions on Mobile Computing article
Our article Distributed Age-of-Information Scheduling wit... - September 01, 2024
New IEEE Transactions on Wireless Communications article
Our article Efficient UAV Hovering, Resource Allocation, ... - August 08, 2024
New IEEE Open Journal of the Communications Society article
Our article Energy-Aware Cooperative Spectrum Sensing und... - July 12, 2024
Tutorial Session at IEEE MeditCom 2024
Jorge Torres Gómez gave a tutorial titled "Age of Informa...