News and Announcements

• Research talks at the Si-Mposium

  September 12, 2024
  
  Our group members Sunasheer Bhattacharjee, Saswati Pal, Lisa Debus, and the research student Laurenz Ebner presented three research topics at Si-Mposium 2024. The event is organized by Der Simulierte Mensch research group in TU Berlin. The topics were related to molecular communication techniques for decoding the human breath, the development of intra-body communication links in the nanoscale, and semantic communication strategies in the multi-scale for in-body applications.
  

• Keynote at IEEE ANDESCON 2024

  September 12, 2024
  
  Falko Dressler gave a keynote titled 6G Edge Computing: Improving Coverage and Resilience at IEEE ANDESCON 2024, which was held in Cusco, Peru.
  (link to more information)

• Paper Presentations at European Wireless 2024

  September 11, 2024
  
  Joana Angjo presented our paper titled "Improving Multi-Operator Coexistence in Distributed-IRS Assisted Networks" and Rathinamala Vijay presented our paper titled "Resilient New Space Communication using Cognitive Radio for LEO Satellites" at European Wireless (EW 2024), which took place in Brno, Czechia.
  

• Paper Presentation at IEEE ANDESCON 2024

  September 11, 2024
  
  Jorge Torres Gómez presented our paper titled Assessing the Interplay between Localization Accuracy and Interference in IRS-assisted Links at IEEE ANDESCON 2024, which took place in Cusco, Peru.
  

• New IEEE Transactions on Communications article

  September 09, 2024
  
  Our article Byzantine Fault Tolerant Consensus in Open Wireless Networks via an Abstract MAC Layer has been accepted for publication in IEEE Transactions on Communications. The openness of wireless networks opens the door to Byzantine attacks on the physical channels, making the communications unreliable and resulting in more challenges in achieving consensus among mobile devices. To address this issue, this paper studies the Byzantine-fault-tolerant (BFT) consensus problem based on an unreliable Byzantine communication model. Different from the previous works requiring stable communications between the honest nodes, considering the unreliable communication makes our problem more realistic but also harder. Based on the unreliable communication model, we first implement a BFT abstract MAC (absMAC) layer with a distributed and randomized multi-channel communication algorithm.
  (link to more information)

• Paper Presentation at IEEE PIMRC 2024

  September 05, 2024
  
  Sascha Rösler presented our paper titled "ResCTC: Resilience in Wireless Networks through Cross-Technology Communication" at the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2024), which took place in Valencia, Spain.
  

• 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)

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