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Book ; Online: User-aware WLAN Transmit Power Control in the Wild

Krolikowski, Jonatan / Houidi, Zied Ben / Rossi, Dario

2023

Abstract: In Wireless Local Area Networks (WLANs), Access point (AP) transmit power influences (i) received signal quality for users and thus user throughput, (ii) user association and thus load across APs and (iii) AP coverage ranges and thus interference in the ... ...

Abstract	In Wireless Local Area Networks (WLANs), Access point (AP) transmit power influences (i) received signal quality for users and thus user throughput, (ii) user association and thus load across APs and (iii) AP coverage ranges and thus interference in the network. Despite decades of academic research, transmit power levels are still, in practice, statically assigned to satisfy uniform coverage objectives. Yet each network comes with its unique distribution of users in space, calling for a power control that adapts to users' probabilities of presence, for example, placing the areas with higher interference probabilities where user density is the lowest. Although nice on paper, putting this simple idea in practice comes with a number of challenges, with gains that are difficult to estimate, if any at all. This paper is the first to address these challenges and evaluate in a production network serving thousands of daily users the benefits of a user-aware transmit power control system. Along the way, we contribute a novel approach to reason about user densities of presence from historical IEEE 802.11k data, as well as a new machine learning approach to impute missing signal-strength measurements. Results of a thorough experimental campaign show feasibility and quantify the gains: compared to state-of-the-art solutions, the new system can increase the median signal strength by 15dBm, while decreasing airtime interference at the same time. This comes at an affordable cost of a 5dBm decrease in uplink signal due to lack of terminal cooperation.
Keywords	Computer Science - Networking and Internet Architecture ; Computer Science - Artificial Intelligence
Subject code	003
Publishing date	2023-02-21
Publishing country	us
Document type	Book ; Online
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Book ; Online: From Design to Deployment of Zero-touch Deep Reinforcement Learning WLANs

Iacoboaiea, Ovidiu / Krolikowski, Jonatan / Houidi, Zied Ben / Rossi, Dario

2022

Abstract: Machine learning (ML) is increasingly used to automate networking tasks, in a paradigm known as zero-touch network and service management (ZSM). In particular, Deep Reinforcement Learning (DRL) techniques have recently gathered much attention for their ... ...

Abstract	Machine learning (ML) is increasingly used to automate networking tasks, in a paradigm known as zero-touch network and service management (ZSM). In particular, Deep Reinforcement Learning (DRL) techniques have recently gathered much attention for their ability to learn taking complex decisions in different fields. In the ZSM context, DRL is an appealing candidate for tasks such as dynamic resource allocation, that is generally formulated as hard optimization problems. At the same time, successful training and deployment of DRL agents in real-world scenarios faces a number of challenges that we outline and address in this paper. Tackling the case of Wireless Local Area Network (WLAN) radio resource management, we report guidelines that extend to other usecases and more general contexts.
Keywords	Computer Science - Networking and Internet Architecture
Publishing date	2022-07-13
Publishing country	us
Document type	Book ; Online
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Book ; Online: Replication

Finamore, Alessandro / Wang, Chao / Krolikowski, Jonatan / Navarro, Jose M. / Chen, Fuxing / Rossi, Dario

Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation

2023

Abstract: Over the last years we witnessed a renewed interest toward Traffic Classification (TC) captivated by the rise of Deep Learning (DL). Yet, the vast majority of TC literature lacks code artifacts, performance assessments across datasets and reference ... ...

Abstract	Over the last years we witnessed a renewed interest toward Traffic Classification (TC) captivated by the rise of Deep Learning (DL). Yet, the vast majority of TC literature lacks code artifacts, performance assessments across datasets and reference comparisons against Machine Learning (ML) methods. Among those works, a recent study from IMC22 [16] is worth of attention since it adopts recent DL methodologies (namely, few-shot learning, self-supervision via contrastive learning and data augmentation) appealing for networking as they enable to learn from a few samples and transfer across datasets. The main result of [16] on the UCDAVIS19, ISCX-VPN and ISCX-Tor datasets is that, with such DL methodologies, 100 input samples are enough to achieve very high accuracy using an input representation called "flowpic" (i.e., a per-flow 2d histograms of the packets size evolution over time). In this paper (i) we reproduce [16] on the same datasets and (ii) we replicate its most salient aspect (the importance of data augmentation) on three additional public datasets (MIRAGE19, MIRAGE22 and UTMOBILENET21). While we confirm most of the original results, we also found a 20% accuracy drop on some of the investigated scenarios due to a data shift in the original dataset that we uncovered. Additionally, our study validates that the data augmentation strategies studied in [16] perform well on other datasets too. In the spirit of reproducibility and replicability we make all artifacts (code and data) available to the research community at https://tcbenchstack.github.io/tcbench/ Comment: to appear at ACM Internet Traffic Measurement (IMC) 2023, replication track
Keywords	Computer Science - Machine Learning ; Computer Science - Networking and Internet Architecture
Subject code	006
Publishing date	2023-09-18
Publishing country	us
Document type	Book ; Online
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Article ; Online: Red light stimulates vasodilation through extracellular vesicle trafficking.

Weihrauch, Dorothee / Keszler, Agnes / Lindemer, Brian / Krolikowski, John / Lohr, Nicole L

Journal of photochemistry and photobiology. B, Biology

2021 Volume 220, Page(s) 112212

Abstract: Red light (670 nm) promotes ex vivo dilation of blood vessels in a nitric oxide (NO) dependent, but eNOS independent manner by secreting a quasi-stable and transferable vasoactive substance with the characteristics of S-nitrosothiols (RSNO) from the ... ...

Abstract	Red light (670 nm) promotes ex vivo dilation of blood vessels in a nitric oxide (NO) dependent, but eNOS independent manner by secreting a quasi-stable and transferable vasoactive substance with the characteristics of S-nitrosothiols (RSNO) from the endothelium. In the present work we establish that 670 nm light mediated vasodilation occurs in vivo and is physiologically stable. Light exposure depletes intracellular S-nitroso protein while concomitantly increasing extracellular RNSO, suggesting vesicular pathways are involved. Furthermore, we demonstrate this RSNO vasodilator is embedded in extracellular vesicles (EV). The action of red light on vesicular trafficking appears to increase expression of endosome associated membrane protein CD63 in bovine aortic endothelial cells, enhance endosome localization in the endothelium, and induce exit of RSNO containing EVs from murine facialis arteries. We suggest a mechanism by which the concerted actions of 670 nm light initiate formation of RSNO containing EVs which exit the endothelium and trigger relaxation of smooth muscle cells.
MeSH term(s)	Animals ; Cattle ; Cells, Cultured ; Endothelium, Vascular/cytology ; Endothelium, Vascular/radiation effects ; Extracellular Vesicles/metabolism ; Light ; Mice ; Mice, Inbred C57BL ; Nitroso Compounds/metabolism ; Sulfhydryl Compounds/metabolism ; Vasodilation/radiation effects
Chemical Substances	Nitroso Compounds ; Sulfhydryl Compounds
Language	English
Publishing date	2021-05-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	623022-2
ISSN	1873-2682 ; 1011-1344
ISSN (online)	1873-2682
ISSN	1011-1344
DOI	10.1016/j.jphotobiol.2021.112212
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Book ; Online: Cross-network transferable neural models for WLAN interference estimation

Fernandes, Danilo Marinho / Krolikowski, Jonatan / Houidi, Zied Ben / Chen, Fuxing / Rossi, Dario

2022

Abstract: Airtime interference is a key performance indicator for WLANs, measuring, for a given time period, the percentage of time during which a node is forced to wait for other transmissions before to transmitting or receiving. Being able to accurately estimate ...

Abstract	Airtime interference is a key performance indicator for WLANs, measuring, for a given time period, the percentage of time during which a node is forced to wait for other transmissions before to transmitting or receiving. Being able to accurately estimate interference resulting from a given state change (e.g., channel, bandwidth, power) would allow a better control of WLAN resources, assessing the impact of a given configuration before actually implementing it. In this paper, we adopt a principled approach to interference estimation in WLANs. We first use real data to characterize the factors that impact it, and derive a set of relevant synthetic workloads for a controlled comparison of various deep learning architectures in terms of accuracy, generalization and robustness to outlier data. We find, unsurprisingly, that Graph Convolutional Networks (GCNs) yield the best performance overall, leveraging the graph structure inherent to campus WLANs. We notice that, unlike e.g. LSTMs, they struggle to learn the behavior of specific nodes, unless given the node indexes in addition. We finally verify GCN model generalization capabilities, by applying trained models on operational deployments unseen at training time.
Keywords	Computer Science - Networking and Internet Architecture ; Computer Science - Artificial Intelligence
Subject code	006
Publishing date	2022-11-25
Publishing country	us
Document type	Book ; Online
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Article ; Online: Dog ownership status and self-assessed health, life-style and habitual physical activity in chronic hemodialysis patients.

Kuban, Magdalena / Królikowski, Jerzy / Nowicki, Michał

Hemodialysis international. International Symposium on Home Hemodialysis

2016 Volume 20, Issue 3, Page(s) 447–452

Abstract: Introduction The Statement from the American Heart Association has emphasized a need for novel strategies that can reduce the risk of cardiovascular disease (CVD). Taking a dog for a walk forces its owner to take physical activity. Several studies have ... ...

Abstract	Introduction The Statement from the American Heart Association has emphasized a need for novel strategies that can reduce the risk of cardiovascular disease (CVD). Taking a dog for a walk forces its owner to take physical activity. Several studies have explored the relationship between pet ownership and CVD and most reported benefits. This issue has not been investigated in dialysis patients. The aim of the study was to analyze the influence of pet ownership on health and physical activity in hemodialysis patients. Methods 270 chronic hemodialysis patients (172 male, 98 female, mean age 62.7 ± 14.0 years, hemodialysis vintage 4 ± 5 years) took part in the survey focused on their general health and physical activity. Findings Two hundred nineteen (81%) patients were mobile. One hundred sixteen participants had dog at home (43%). An additional physical activity was reported by 46 dog owners (40%) compared with 34 (23%) of nonowners (P = 0.002). Patients who often go for a walk were more often pet owners 49 (57%) than nonowners (n = 37, 43%; P = 0.004). Pet owners were younger (58.3 ± 13.6 vs. 66 ± 13.5 years). Body mass index (BMI) was similar. Patients with BMI from upper tertile (>27.5 kg/m(2) ) and from lower (<23.9) were more often dog owners than from the middle (52.9%, 43.7%, and 31.4%). Dog owners were on dialysis for longer time (5.0 ± 6.5 vs. 3.5 ± 3.7 years; P = 0.02). Discussion Dog ownership appears to positively influence the level of physical activity. Age but not time on dialysis seems to be the most important factor that influences a decision to own a pet and undertake physical activity.
MeSH term(s)	Animals ; Chronic Disease ; Dogs ; Exercise ; Female ; Humans ; Male ; Middle Aged ; Ownership ; Renal Dialysis/methods ; Self-Assessment ; Surveys and Questionnaires
Language	English
Publishing date	2016-07
Publishing country	Canada
Document type	Journal Article
ZDB-ID	2192458-2
ISSN	1542-4758 ; 1492-7535
ISSN (online)	1542-4758
ISSN	1492-7535
DOI	10.1111/hdi.12398
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Article ; Online: Effect of the Prophylactic Use of Proton-Pump Inhibitors on the Pattern of Gastrointestinal Symptoms in Patients Late After Kidney Transplant.

Królikowski, Jerzy / Pawłowicz, Ewa / Budzisz, Ewa / Nowicki, Michał

Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation

2016 Volume 14, Issue 5, Page(s) 503–510

Abstract: Objectives: Although immunosuppressive drugs have been recognized as leading causes of gastrointestinal symptoms after kidney transplant, other widely used medications such as proton-pump inhibitors recently have been implicated. Our aim was to study ... ...

Abstract	Objectives: Although immunosuppressive drugs have been recognized as leading causes of gastrointestinal symptoms after kidney transplant, other widely used medications such as proton-pump inhibitors recently have been implicated. Our aim was to study the effects of chronic proton-pump inhibitor therapy on gastrointestinal symptoms in clinically stable patients late after kidney transplant. Materials and methods: The study comprised 100 kidney transplant recipients (66 men and 34 women, mean age of 49 ± 12 y, mean time after transplant of 56 ± 46 mo). All patients completed the Gastrointestinal Symptoms Rating Scale and the Quality of Life Questionnaire SF-8 surveys. Results: The most commonly reported symptoms included borborygmus (27%), flatulence (23%), abdominal distension (18%), urgent need of defecation (17%), and heartburn, acid reflux, and eructation (13%). Proton-pump inhibitors were chronically used by 50% of patients and sporadically by 33%. Gastrointestinal Symptoms Rating Scale scores were higher in patients who used proton-pump inhibitors (mean score of 7.8 ± 5.5 vs 4.6 ± 3.0; P = .013). Total score of items representing diarrhea in the Gastrointestinal Symptoms Rating Scale (increased passage of stools, loose stools, urgent need of defecation, incomplete evacuation) was higher in patients treated with proton-pump inhibitors than in those not treated (2.3 ± 2.2 vs 1.3 ± 1.9; P = .04). Conclusions: Chronic use of proton-pump inhibitors may increase the prevalence of gastrointestinal symptoms, particularly diarrhea, in patients late after kidney transplant.
MeSH term(s)	Adult ; Cross-Sectional Studies ; Drug Administration Schedule ; Female ; Gastrointestinal Diseases/epidemiology ; Gastrointestinal Diseases/physiopathology ; Gastrointestinal Diseases/prevention & control ; Gastrointestinal Diseases/psychology ; Humans ; Immunocompromised Host ; Immunosuppressive Agents/adverse effects ; Kidney Transplantation/adverse effects ; Male ; Middle Aged ; Poland/epidemiology ; Prevalence ; Proton Pump Inhibitors/administration & dosage ; Proton Pump Inhibitors/adverse effects ; Quality of Life ; Risk Factors ; Surveys and Questionnaires ; Time Factors ; Treatment Outcome
Chemical Substances	Immunosuppressive Agents ; Proton Pump Inhibitors
Language	English
Publishing date	2016-10
Publishing country	Turkey
Document type	Journal Article
ZDB-ID	2396778-X
ISSN	2146-8427 ; 1304-0855
ISSN (online)	2146-8427
ISSN	1304-0855
DOI	10.6002/ect.2015.0252
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Book ; Online: Optimal Cache Leasing from a Mobile Network Operator to a Content Provider

Krolikowski, Jonatan / Giovanidis, Anastasios / Di Renzo, Marco

2018

Abstract: Caching popular content at the wireless edge is recently proposed as a means to reduce congestion at the backbone of cellular networks. The two main actors involved are Mobile Network Operators (MNOs) and Content Providers (CPs). In this work, we ... ...

Abstract	Caching popular content at the wireless edge is recently proposed as a means to reduce congestion at the backbone of cellular networks. The two main actors involved are Mobile Network Operators (MNOs) and Content Providers (CPs). In this work, we consider the following arrangement: an MNO pre-installs memory on its wireless equipment (e.g. Base Stations) and invites a unique CP to use them, with monetary cost. The CP will lease memory space and place its content; the MNO will associate network users to stations. For a given association policy, the MNO may help (or not) the CP to offload traffic, depending on whether the association takes into account content placement. We formulate an optimization problem from the CP perspective, which aims at maximizing traffic offloading with minimum leasing costs. This is a joint optimization problem that can include any association policy, and can also derive the optimal one. We present a general exact solution using Benders decomposition. It iteratively updates decisions of the two actors separately and converges to the global optimum. We illustrate the optimal CP leasing/placement strategy and hit probability gains under different association policies. Performance is maximised when the MNO association follows CP actions. Comment: 9 pages, double column, 4 figures, INFOCOM 2018 Honolulu, HI, USA
Keywords	Computer Science - Networking and Internet Architecture ; Mathematics - Optimization and Control
Subject code	303
Publishing date	2018-01-24
Publishing country	us
Document type	Book ; Online
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Article ; Online: Inhibition of myeloperoxidase increases revascularization and improves blood flow in a diabetic mouse model of hindlimb ischaemia.

Weihrauch, Dorothee / Martin, Dustin P / Jones, Deron / Krolikowski, John / Struve, Janine / Naylor, Stephen / Pritchard, Kirkwood A

Diabetes & vascular disease research

2020 Volume 17, Issue 3, Page(s) 1479164120907971

Abstract: Objective: Diabetes mellitus is a significant risk factor for peripheral artery disease. Diabetes mellitus induces chronic states of oxidative stress and vascular inflammation that increase neutrophil activation and release of myeloperoxidase. The goal ... ...

Abstract	Objective: Diabetes mellitus is a significant risk factor for peripheral artery disease. Diabetes mellitus induces chronic states of oxidative stress and vascular inflammation that increase neutrophil activation and release of myeloperoxidase. The goal of this study is to determine whether inhibiting myeloperoxidase reduces oxidative stress and neutrophil infiltration, increases vascularization, and improves blood flow in a diabetic murine model of hindlimb ischaemia. Methods: Leptin receptor-deficient ( Results: KYC treatment improved hindlimb blood flow at 7 and 14 days in Conclusion: These results demonstrate that inhibiting myeloperoxidase reduces oxidative stress in ischaemic hindlimbs of
MeSH term(s)	Angiogenesis Inducing Agents/pharmacology ; Animals ; Cell Movement/drug effects ; Cell Proliferation/drug effects ; Cells, Cultured ; Diabetes Mellitus/genetics ; Diabetes Mellitus/metabolism ; Diabetes Mellitus/physiopathology ; Disease Models, Animal ; Enzyme Inhibitors/pharmacology ; Extracellular Matrix/metabolism ; Hindlimb ; Human Umbilical Vein Endothelial Cells/drug effects ; Human Umbilical Vein Endothelial Cells/metabolism ; Humans ; Ischemia/drug therapy ; Ischemia/enzymology ; Ischemia/physiopathology ; Male ; Mice, Inbred C57BL ; Mice, Knockout ; Muscle, Skeletal/blood supply ; Neovascularization, Physiologic/drug effects ; Neutrophil Infiltration/drug effects ; Neutrophils/drug effects ; Neutrophils/enzymology ; Oligopeptides/pharmacology ; Oxidative Stress/drug effects ; Peroxidase/antagonists & inhibitors ; Peroxidase/metabolism ; Receptors, Leptin/deficiency ; Receptors, Leptin/genetics ; Regional Blood Flow ; Signal Transduction
Chemical Substances	Angiogenesis Inducing Agents ; Enzyme Inhibitors ; N-acetyllysyltyrosylcysteine amide ; Oligopeptides ; Receptors, Leptin ; leptin receptor, mouse ; Peroxidase (EC 1.11.1.7)
Language	English
Publishing date	2020-03-09
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2250793-0
ISSN	1752-8984 ; 1479-1641
ISSN (online)	1752-8984
ISSN	1479-1641
DOI	10.1177/1479164120907971
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Book ; Online: Joint Routing and Scheduling for Large-Scale Deterministic IP Networks

Krolikowski, Jonatan / Martin, Sebastien / Medagliani, Paolo / Leguay, Jeremie / Chen, Shuang / Chang, Xiaodong / Geng, Xuesong

2020

Abstract: With the advent of 5G and the evolution of Internet protocols, industrial applications are moving from vertical solutions to general purpose IP-based infrastructures that need to meet deterministic Quality of Service (QoS) requirements. The IETF DetNet ... ...

Abstract	With the advent of 5G and the evolution of Internet protocols, industrial applications are moving from vertical solutions to general purpose IP-based infrastructures that need to meet deterministic Quality of Service (QoS) requirements. The IETF DetNet working group aims at providing an answer to this need with support for (i) deterministic worst-case latency and jitter, and (ii) zero packet loss for time-sensitive traffic. In this paper we focus on the joint routing and scheduling problem in large scale deterministic networks using Cycle Specified Queuing and Forwarding (CSQF), an extension of Cyclic Queuing and Forwarding (CQF) with multiple transmission queues and support of segment routing. In this context, we present two centralized algorithms to maximize traffic acceptance for network planning and online flow admission. We propose an effective solution based on column generation and dynamic programming. Thanks to the reinforcement of the model with valid inequalities, we improve the upper bound and the solution. We demonstrate on realistic instances that we reach an optimality gap smaller than 10% in a few seconds. Finally, we also derive an ultra-fast adaptive greedy algorithm to solve the problem at the cost of a small extra gap. Comment: To appear in Elsevier Computer Communications
Keywords	Computer Science - Networking and Internet Architecture
Subject code	000
Publishing date	2020-04-06
Publishing country	us
Document type	Book ; Online
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