Tootfinder

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Haci Ismail Aslan, Syed Muhammad Mahmudul Haque, Joel Witzke, Odej Kao
https://arxiv.org/abs/2510.09851

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Modern applications increasingly span across cloud, fog, and edge environments, demanding orchestration systems that can adapt to diverse deployment contexts while meeting Quality-of-Service (QoS) requirements. Standard Kubernetes schedulers do not account for user-defined objectives such as energy efficiency, cost optimization, and global performance, often leaving operators to make manual, cluster-by-cluster placement decisions. To address this need, we present QONNECT, a vendor-agnostic orch…

Towards Reliable Emergency Wireless Communications over SAGINs: A Composite Fading and QoS-Centric Perspective
Yinong Chen, Wenchi Cheng, Jingqing Wang, Xiao Zheng, Jiangzhou Wang
https://arxiv.org/abs/2510.07120

Towards Reliable Emergency Wireless Communications over SAGINs: A Composite Fading and QoS-Centric Perspective
In emergency wireless communications (EWC) scenarios, ensuring reliable, flexible, and high-rate transmission while simultaneously maintaining seamless coverage and rapid response capabilities presents a critical technical challenge. To this end, satellite-aerial-ground integrated network (SAGIN) has emerged as a promising solution due to its comprehensive three-dimensional coverage and capability to meet stringent, multi-faceted quality-of-service (QoS) requirements. Nevertheless, most existin…

Prioritizing Latency with Profit: A DRL-Based Admission Control for 5G Network Slices
Proggya Chakraborty, Aaquib Asrar, Jayasree Sengupta, Sipra Das Bit
https://arxiv.org/abs/2510.08769

Prioritizing Latency with Profit: A DRL-Based Admission Control for 5G Network Slices
5G networks enable diverse services such as eMBB, URLLC, and mMTC through network slicing, necessitating intelligent admission control and resource allocation to meet stringent QoS requirements while maximizing Network Service Provider (NSP) profits. However, existing Deep Reinforcement Learning (DRL) frameworks focus primarily on profit optimization without explicitly accounting for service delay, potentially leading to QoS violations for latency-sensitive slices. Moreover, commonly used epsil…

Medium Access for Multi-Cell ISAC through Scheduling of Radar and Communication Tasks
Jo\~ao Henrique Inacio de Souza, Fabio Saggese, Kun Chen-Hu, Petar Popovski
https://arxiv.org/abs/2510.05821

Medium Access for Multi-Cell ISAC through Scheduling of Radar and Communication Tasks
This paper focuses on communication, radar search, and tracking task scheduling in multi-cell integrated sensing and communication (ISAC) networks under quality of service (QoS) constraints. We propose a medium access control framework multiplexing the tasks while optimizing radar scan patterns through an interference-aware assignment formulation. Simulations show that our solution guarantees target QoS with improved resource efficiency over baseline schemes, highlighting the benefits of coordi…

Aggregate Modeling of Air-Conditioner Loads Under Packet-based Control with Both On and Off Grid Access Requests
Mohammad Hassan, Mads R. Almassalkhi
https://arxiv.org/abs/2510.10651

Aggregate Modeling of Air-Conditioner Loads Under Packet-based Control with Both On and Off Grid Access Requests
Coordination of distributed energy resources (DERs) can engender flexibility necessary to improve grid reliability. Packetized Energy Management (PEM) is a method for coordinating DERs, such as thermostatically controlled loads (TCLs) and electric vehicles, within customer quality-of-service (QoS) limits. In PEM, a DER uses local information to offer flexibility by sending a request to the DER coordinator to turn-ON or turn-OFF. Much work has focused on modeling and analyzing aggregations of DE…

PUL-Inter-slice Defender: An Anomaly Detection Solution for Distributed Slice Mobility Attacks
Ricardo Misael Ayala Molina, Hyame Assem Alameddine, Makan Pourzandi, Chadi Assi
https://arxiv.org/abs/2510.02236

PUL-Inter-slice Defender: An Anomaly Detection Solution for Distributed Slice Mobility Attacks
Network Slices (NSs) are virtual networks operating over a shared physical infrastructure, each designed to meet specific application requirements while maintaining consistent Quality of Service (QoS). In Fifth Generation (5G) networks, User Equipment (UE) can connect to and seamlessly switch between multiple NSs to access diverse services. However, this flexibility, known as Inter-Slice Switching (ISS), introduces a potential vulnerability that can be exploited to launch Distributed Slice Mobi…

Intelligent Multi-link EDCA Optimization for Delay-Bounded QoS in Wi-Fi 7
Peini Yi, Wenchi Cheng, Jingqing Wang, Jinzhe Pan, Yuehui Ouyang, Wei Zhang
https://arxiv.org/abs/2509.25855

Intelligent Multi-link EDCA Optimization for Delay-Bounded QoS in Wi-Fi 7
IEEE 802.11be (Wi-Fi 7) introduces Multi-Link Operation (MLO) as a While MLO offers significant parallelism and capacity, realizing its full potential in guaranteeing strict delay bounds and optimizing Quality of Service (QoS) for diverse, heterogeneous traffic streams in complex multi-link scenarios remain a significant challenge. This is largely due to the limitations of static Enhanced Distributed Channel Access (EDCA) parameters and the complexity inherent in cross-link traffic management. …

This log entry always appears at the top of my cable modem's web view of the log. Every 36 hours, the timestamp changes. It's not new,. just the same line with a new timestamp.
It has been this way for years, I believe for the whole decade that I've had it, although its rock-solid regularity may have started with the last update (2019) or with some upstream behavior change. It is harmless (DHCP clients must tolerate unrecognized options).
And people wonder why I e…

Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
Xiucheng Wang, Zien Wang, Nan Cheng, Wenchao Xu, Wei Quan, Xuemin Shen
https://arxiv.org/abs/2510.11109

Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
The increase of bandwidth-intensive applications in sixth-generation (6G) wireless networks, such as real-time volumetric streaming and multi-sensory extended reality, demands intelligent multicast routing solutions capable of delivering differentiated quality-of-service (QoS) at scale. Traditional shortest-path and multicast routing algorithms are either computationally prohibitive or structurally rigid, and they often fail to support heterogeneous user demands, leading to suboptimal resource …

Characterizing 5G User Throughput via Uncertainty Modeling and Crowdsourced Measurements
Javier Albert-Smet, Zoraida Frias, Luis Mendo, Sergio Melones, Eduardo Yraola
https://arxiv.org/abs/2510.09239

Characterizing 5G User Throughput via Uncertainty Modeling and Crowdsourced Measurements
Characterizing application-layer user throughput in next-generation networks is increasingly challenging as the higher capacity of the 5G Radio Access Network (RAN) shifts connectivity bottlenecks towards deeper parts of the network. Traditional methods, such as drive tests and operator equipment counters, are costly, limited, or fail to capture end-to-end (E2E) Quality of Service (QoS) and its variability. In this work, we leverage large-scale crowdsourced measurements-including E2E, radio, co…

Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators
Prashanthi S. K., Saisamarth Taluri, Pranav Gupta, Amartya Ranjan Saikia, Kunal Kumar Sahoo, Atharva Vinay Joshi, Lakshya Karwa, Kedar Dhule, Yogesh Simmhan
https://arxiv.org/abs/2509.20205

Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators
The proliferation of GPU accelerated edge devices like Nvidia Jetsons and the rise in privacy concerns are placing an emphasis on concurrent DNN training and inferencing on edge devices. Inference and training have different computing and QoS goals. But edge accelerators like Jetson do not support native GPU sharing and expose 1000s of power modes. This requires careful time-sharing of concurrent workloads to meet power--performance goals, while limiting costly profiling. In this paper, we desi…

Reciprocal Beyond-Diagonal Reconfigurable Intelligent Surface (BD-RIS): Scattering Matrix Design via Manifold Optimization
Marko Fidanovski, Iv\'an Alexander Morales Sandoval, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Emil Bj\"ornson
https://arxiv.org/abs/2509.20246

Reciprocal Beyond-Diagonal Reconfigurable Intelligent Surface (BD-RIS): Scattering Matrix Design via Manifold Optimization
Beyond-diagonal reconfigurable intelligent surfaces (BD-RISs) are emerging as a transformative technology in wireless communications, enabling enhanced performance and quality of service (QoS) of wireless systems in harsh urban environments due to their relatively low cost and advanced signal processing capabilities. Generally, BD-RIS systems are employed to improve robustness, increase achievable rates, and enhance energy efficiency of wireless systems in both direct and indirect ways. The dir…

Unlicensed Band Allocation for Heterogeneous Networks
Po-Heng Chou
https://arxiv.org/abs/2509.23216 https://arxiv.org/pdf/2509.23216

Unlicensed Band Allocation for Heterogeneous Networks
Based on the License-Assisted Access (LAA) small cell architecture, the LAA coexisting with Wi-Fi heterogeneous networks provides LTE mobile users with high bandwidth efficiency as the unlicensed channels are shared among LAA and Wi-Fi. However, LAA and Wi-Fi interfere with each other when both systems use the same unlicensed channel in heterogeneous networks. In such a network, unlicensed band allocation for LAA and Wi-Fi is an important issue that may affect the quality of service (QoS) of bo…

A Novel Integrated Architecture for Intent Based Approach and Zero Touch Networks
Neelam Gupta, Dibakar Das, Tamizhelakkiya K, Uma Maheswari Natarajan, Sharvari Ravindran, Komal Sharma, Jyotsna Bapat, Debabrata Das
https://arxiv.org/abs/2509.21026

A Novel Integrated Architecture for Intent Based Approach and Zero Touch Networks
The transition to Sixth Generation (6G) networks presents challenges in managing quality of service (QoS) of diverse applications and achieving Service Level Agreements (SLAs) under varying network conditions. Hence, network management must be automated with the help of Machine Learning (ML) and Artificial Intelligence (AI) to achieve real-time requirements. Zero touch network (ZTN) is one of the frameworks to automate network management with mechanisms such as closed loop control to ensure tha…