Background: The inability to test at scale has become humanity's Achille's heel in the ongoing war against COVID-19 pandemic. A scalable screening tool would be a game changer. Building on prior work cough-based diagnosis of respiratory diseases, we propose, develop and an Artificial Intelligence (AI)-powered solution for infection that is deployable via smartphone app. app, named AI4COVID-19 records sends three 3-second cough sounds AI engine running cloud, returns result within two...

This article surveys the literature over period of last decade on emerging field self organisation as applied to wireless cellular communication networks. Self has been extensively studied and in adhoc networks, sensor networks autonomic computer networks; however context this is first attempt put perspective various efforts form a tutorial/survey. We provide comprehensive survey existing literature, projects standards organising Additionally, we also aim present clear understanding active...

Mobile data traffic grew by 74% in 2015 and it is expected to grow eight-fold 2020. Future wireless networks will need deploy massive number of small cells cope with this increasing demand. Dense deployment require advanced interference mitigation techniques improve spectral efficiency enhance much needed capacity. Coordinated multi-point (CoMP) a key feature for mitigating inter-cell interference, throughput cell edge performance. However, cooperation be limited few only due additional...

Conventional cellular systems are designed to ensure ubiquitous coverage with an always present wireless channel irrespective of the spatial and temporal demand service. This approach raises several problems due tight coupling between network data access points, as well paradigm shift towards data-oriented services, heterogeneous deployments densification. A logical separation control planes is seen a promising solution that could overcome these issues, by providing services under umbrella...

In this paper, we present a novel cell outage management (COM) framework for heterogeneous networks with split control and data planes-a candidate architecture meeting future capacity, quality-of-service, energy efficiency demands. such an architecture, the functionalities are not necessarily handled by same node. The base stations (BSs) manage transmission of information user equipment (UE) mobility, whereas BSs handle UE data. An implication is that to BS in one plane has be compensated...

Soaring capacity and coverage demands dictate that future cellular networks need to migrate soon toward ultra-dense networks. However, network densification comes with a host of challenges include compromised energy efficiency, complex interference management, cumbersome mobility burdensome signaling overheads, higher backhaul costs. Interestingly, most the problems beleaguer stem from legacy networks' one common feature, i.e., tight coupling between control data planes regardless their...

Cough acoustics contain multitudes of vital information about pathomorphological alterations in the respiratory system. Reliable and accurate detection cough events by investigating underlying latent features disease diagnosis can play an indispensable role revitalizing healthcare practices. The recent application Artificial Intelligence (AI) advances ubiquitous computing for prediction has created auspicious trend myriad future possibilities medical domain. In particular, there is...

In research community, a new radio access network architecture with logical separation between control plane (CP) and data (DP) has been proposed for future cellular systems. It aims to overcome limitations of the conventional by providing high rate services under umbrella coverage layer in dual connection mode. This configuration could provide significant savings signalling overhead. particular, mobility robustness minimal handover (HO) is considered as one most promising benefits this...

Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the forefront, one of most prominent being machine learning empowered health care. One notable modern medical concerns that impose an immense worldwide burden respiratory infections. Since cough is essential symptom many infections, automated system screen for diseases based on raw data would have a multitude beneficial research applications. In literature, has already been successfully used detect events in...

5G is anticipated to embed an artificial intelligence (AI)-empowerment adroitly plan, optimize and manage the highly complex network by leveraging data generated at different positions of architecture. Outages situation leading congestion in a cell pose severe hazard for network. High false alarms inadequate accuracy are major limitations modern approaches anomaly—outage sudden hype traffic activity that may result congestion—detection mobile cellular networks. This indicates wasting limited...

Escalating cell outages and congestion-treated as anomalies-cost a substantial revenue loss to the cellular operators severely affect subscriber quality of experience. State-of-the-art literature applies feed-forward deep neural network at core (CN) for detection above problems in single cell; however, solution is impractical it will overload CN that monitors thousands cells time. Inspired from mobile edge computing breakthroughs convolutional networks (CNNs) computer vision research, this...

5G and beyond networks will transform the healthcare sector by opening possibilities for novel use cases applications. Service level agreements (SLAs) can enable 5G-enabled medical device documenting how a communication requirements are met unique characteristics of roles responsibilities stakeholders involved in offering safe effective to patients. However, there gaps this space that should be addressed facilitate efficient implementation technology healthcare. Current literature is scarce...

The exponential rise in mobile traffic originating from devices highlights the need for making mobility management future networks even more efficient and seamless than ever before. Ultra-Dense Cellular Network vision consisting of cells varying sizes with conventional mmWave bands is being perceived as panacea eminent capacity crunch. However, challenges an ultra-dense heterogeneous network motley high frequency band will be unprecedented due to plurality handover instances, resulting...

WD40 repeat proteins are frequently involved in processing cell signaling and scaffolding large multi-subunit machineries. Despite their significance physiological disease-like conditions, reversible interactions with other remain modestly examined. Here, we show the development validation of a protein nanopore for detection quantification 5 (WDR5), chromatin-associated hub epigenetic regulation histone methylation. Our sensor is equipped 14-residue Win motif mixed lineage leukemia 4...

The future of cellular networks is contingent on artificial intelligence (AI) based automation, particularly for radio access network (RAN) operation, optimization, and troubleshooting. To achieve such zero-touch a myriad AI-based solutions are being proposed in literature to leverage AI modeling optimizing behavior the automation goal. However, work reliably, requires deluge training data. Consequently, success limited by fundamental challenge faced research community: scarcity In this...

Cough-based diagnosis for respiratory diseases (RDs) using artificial intelligence (AI) has attracted considerable attention, yet many existing studies overlook confounding variables in their predictive models. These can distort the relationship between cough recordings (input data) and RD status (output variable), leading to biased associations unrealistic model performance. To address this gap, we propose Bias-Free Network (RBF-Net), an end-to-end solution that effectively mitigates impact...

The emergence of pandemics poses a persistent threat to both global health and economic stability. While zoonotic spillovers local outbreaks may not be fully preventable, early detection infections in individuals before they spread communities can make major difference containing an infectious disease stopping it from becoming epidemic then pandemic. In this paper, we propose novel Artificial Intelligence (AI)-based pandemic prediction framework called iPREDICT–a concept designed leverage...

Frequent handovers (HOs) in dense small cell deployment scenarios could lead to a dramatic increase signaling overhead. This suggests paradigm shift toward conscious cellular architecture with intelligent mobility management. In this direction, futuristic radio access network logical separation between control and data planes has been proposed research community. It aims overcome limitations of the conventional by providing high rate services under umbrella coverage layer dual connection...

Self-organizing network (SON) functions have been introduced in the LTE and LTEAdvanced standards by Third Generation Partnership Project as an excellent solution that promises enormous improvements performance. However, most challenging issue implementing SON reality is identification of best possible interactions among simultaneously operating even conflicting order to guarantee robust, stable, desired operation. In this direction, first step comprehensive modeling various types conflicts...

Device-to-device (D2D) communication has huge potential for capacity and coverage enhancements next generation cellular networks. The number of nodes D2D is an important parameter that directly impacts the system capacity. In this paper, we derive analytic expression average probability user corresponding users. context, mature framework stochastic geometry Poisson point process been used. retention incorporated in Laplace functional to capture reduced path-loss shortest distance criterion...

In this paper, using the concept of stochastic geometry, we present an analytical framework to evaluate signal-to-interference-and-noise-ratio (SINR) coverage in uplink millimeter wave cellular networks. By a distance-dependent line-of-sight (LOS) probability function, location LOS and nonLOS users are modeled as two independent nonhomogeneous Poisson point processes, with each having different pathloss exponent. The analysis takes account per-user fractional power control (FPC), which...

The rapid evolution of cellular system design towards 5G and beyond gives rise to a need for investigation the new features, proposals solutions in realistic settings various deployments use case scenarios. While many level simulators 4G exist today, there is particularly dire 3GPP compliant holistic simulator that can support evaluation plethora AI based network automation being proposed literature. In this paper we present such developed at AI4networks Lab, called SyntheticNET. To best...