Tootfinder

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Chuanchao Gao, Niraj Kumar, Arvind Easwaran
https://arxiv.org/abs/2506.12686

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Mobile-edge computing (MEC) has emerged as a promising paradigm for enabling Internet of Things (IoT) devices to handle computation-intensive jobs. Due to the imperfect parallelization of algorithms for job processing on servers and the impact of IoT device mobility on data communication quality in wireless networks, it is crucial to jointly consider server resource allocation and IoT device mobility during job scheduling to fully benefit from MEC, which is often overlooked in existing studies.…

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
Guanjie Li, Tom H. Luan, Chengzhe Lai, Jinkai Zheng, Rongxing Lu
https://arxiv.org/abs/2506.11669

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
With the rapid development and extensive deployment of the fifth-generation wireless system (5G), it has achieved ubiquitous high-speed connectivity and improved overall communication performance. Additionally, as one of the promising technologies for integration beyond 5G, digital twin in cyberspace can interact with the core network, transmit essential information, and further enhance the wireless communication quality of the corresponding mobile device (MD). However, the utilization of milli…

This https://arxiv.org/abs/2504.12849 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
Federated Learning (FL) allows collaborative training among multiple devices without data sharing, thus enabling privacy-sensitive applications on mobile or Internet of Things (IoT) devices, such as mobile health and asset tracking. However, designing an FL system with good model utility that works with low computation/communication overhead on heterogeneous, resource-constrained mobile/IoT devices is challenging. To address this problem, this paper proposes FedX, a novel adaptive model decompo…

On the Suitability of Wi-Fi for Interconnecting Moving Equipment in Industrial Environments
Pietro Chiavassa, Stefano Scanzio, Gianluca Cena
https://arxiv.org/abs/2506.06074

On the Suitability of Wi-Fi for Interconnecting Moving Equipment in Industrial Environments
To ensure an unprecedented degree of flexibility, next-generation Industry 4.0/5.0 production plants increasingly rely on mobile devices, e.g., autonomous mobile robots and wearables. In these cases, a major requirement is getting rid of cables through the adoption of wireless networks. To this purpose, Wi-Fi is currently deemed one of the most promising solutions. Achieving reliable communications over the air for distributed real-time control applications is, however, not devoid of troubles. …

A distributed motion planning approach to cooperative underwater acoustic source tracking and pursuit
Andrea Tiranti, Francesco Wanderlingh, Enrico Simetti, Marco Baglietto, Giovanni Indiveri, Antonio Pascoal
https://arxiv.org/abs/2506.07877

A distributed motion planning approach to cooperative underwater acoustic source tracking and pursuit
This paper addresses the problem of underwater acoustic source tracking and pursuit with a team of autonomous underwater vehicles. Producing distributed control strategies in an underwater sensor network is not trivial since communication is primarily acoustic, which makes it intermittent and often plagued with major difficulties. For this reason, we propose an optimization scheme based on a Partially Observable Markov Decision Process for improving the performance of underwater mobile sensor n…

Real-Time Sounding in ISAC networks: Design and Implementation of a Multi-Node Testbed with Synchronized Airborne and Ground-Based Sensors
Julia Beuster, Carsten Andrich, Sebastian Giehl, Marc Miranda, Lorenz Mohr, Dieter Novotny, Tom Kaufmann, Christian Schneider, Reiner S. Thom\"a
https://arxiv.org/abs/2506.00624

Real-Time Sounding in ISAC networks: Design and Implementation of a Multi-Node Testbed with Synchronized Airborne and Ground-Based Sensors
As integrated sensing and communication (ISAC) capabilities become more prevalent in the mobile 6G radio landscape, there is a substantial opportunity to enhance situational awareness across diverse applications through multi-static radar sensing within meshed ISAC networks. To facilitate the development and testing of detection and localization algorithms across diverse scenarios, this paper introduces a synchronized distributed channel sounding testbed with airborne and ground-based multi-cha…

This https://arxiv.org/abs/2505.19379 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Neural nanophotonic object detector with ultra-wide field-of-view
Intelligent object detection, which extracts crucial information like targets categories and locations, plays a vital role in emerging technologies including autonomous driving, the Internet of Things, and next-generation mobile communication systems. With the advancement of intelligent object detectors towards higher integration and miniaturization, their portability and adaptability to a broader range of scenarios have been significantly enhanced. However, this progress comes at the cost of r…

Target Sensing Performance in Disaster-Specific ISAC Networks
Ahmet Burak Ozyurt, John S. Thompson
https://arxiv.org/abs/2506.02828 https://

Target Sensing Performance in Disaster-Specific ISAC Networks
As sixth-generation (6G) wireless technology emerges, integrated sensing and communication (ISAC) networks offer significant potential for enhancing real-time monitoring in disaster areas. However, existing ISAC approaches often fail to address the unique challenges of dynamic and cluttered disaster areas, resulting in limited sensing coverage and interruptions in sensing service. To address these limitations, this work proposes a mobile ISAC network specifically designed for disaster scenarios…

Cyrus : A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN
Ehsan Ghoreishi, Bahman Abolhassani, Yan Huang, Shiva Acharya, Wenjing Lou, Y. Thomas Hou
https://arxiv.org/abs/2506.00167

Cyrus+: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN
Puncturing is a promising technique in 3GPP to multiplex Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) traffic on the same 5G New Radio (NR) air interface. The essence of puncturing is to transmit URLLC packets on demand upon their arrival, by preempting the radio resources (or subcarriers) that are already allocated to eMBB traffic. Although it is considered most bandwidth efficient, puncturing URLLC data on eMBB can lead to degradation of eMBB's perfor…

This https://arxiv.org/abs/2505.19379 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Neural nanophotonic object detector with ultra-wide field-of-view
Intelligent object detection, which extracts crucial information like targets categories and locations, plays a vital role in emerging technologies including autonomous driving, the Internet of Things, and next-generation mobile communication systems. With the advancement of intelligent object detectors towards higher integration and miniaturization, their portability and adaptability to a broader range of scenarios have been significantly enhanced. However, this progress comes at the cost of r…