A distributed channel allocation scheme for cellular network using intelligent software agents

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A survey of machine learning techniques applied to self organizing cellular networks

In this paper, a survey of the literature of the past fifteen years involving Machine Learning (ML) algorithms applied to self organizing cellular networks is performed. In order for future networks to overcome the current limitations and address the issues of current cellular systems, it is clear that more intelligence needs to be deployed, so that a fully autonomous and flexible network can be enabled. This paper focuses on the learning perspective of Self Organizing Networks (SON) solutions and provides, not only an overview of the most common ML techniques encountered in cellular networks, but also manages to classify each paper in terms of its learning solution, while also giving some examples. The authors also classify each paper in terms of its self-organizing use-case and discuss how each proposed solution performed. In addition, a comparison between the most commonly found ML algorithms in terms of certain SON metrics is performed and general guidelines on when to choose each ML algorithm for each SON function are proposed. Lastly, this work also provides future research directions and new paradigms that the use of more robust and intelligent algorithms, together with data gathered by operators, can bring to the cellular networks domain and fully enable the concept of SON in the near future

ROLAX: LOCATION DETERMINATION TECHNIQUES IN 4G NETWORKS

In this dissertation, ROLAX location determination system in 4G networks is presented. ROLAX provides two primary solutions for the location determination in the 4G networks. First, it provides techniques to detect the error-prone wireless conditions in geometric approaches of Time of Arrival (ToA) and Time Difference of Arrival (TDoA). ROLAX provides techniques for a Mobile Station (MS) to determine the Dominant Line-of-Sight Path (DLP) condition given the measurements of the downlink signals from the Base Station (BS). Second, robust RF fingerprinting techniques for the 4G networks are designed. The causes for the signal measurement variation are identified, and the system is designed taking those into account, leading to a significant improvement in accuracy. ROLAX is organized in two phases: offline and online phases. During the offline phase, the radiomap is constructed by wardriving. In order to provide the portability of the techniques, standard radio measurements such as Received Signal Strength Indication (RSSI) and Carrier to Interference Noise Ratio(CINR) are used in constructing the radiomap. During the online phase, a MS performs the DLP condition test for each BS it can observe. If the number of the BSs under DLP is small, the MS attempts to determine its location by using the RF fingerprinting. In ROLAX, the DLP condition is determined from the RSSI, CINR, and RTD (Round Trip Delay) measurements. Features generated from the RSSI difference between two antennas of the MS were also used. The features, including the variance, the level crossing rate, the correlation between the RSSI and RTD, and Kullback-Leibler Divergence, were successfully used in detecting the DLP condition. We note that, compared to using a single feature, appropriately combined multiple features lead to a very accurate DLP condition detection. A number of pattern matching techniques are evaluated for the purpose of the DLP condition detection. Artificial neural networks, instance-based learning, and Rotation Forest are particularly used in the DLP detection. When the Rotation Forest is used, a detection accuracy of 94.8\% was achieved in the live 4G networks. It has been noted that features designed in the DLP detection can be useful in the RF fingerprinting. In ROLAX, in addition to the DLP detection features, mean of RSSI and mean of CINR are used to create unique RF fingerprints. ROLAX RF fingerprinting techniques include: (1) a number of gridding techniques, including overlapped gridding; (2) an automatic radiomap generation technique by the Delaunay triangulation-based interpolation; (3) the filtering of measurements based upon the power-capture relationship between BSs; and (4) algorithms dealing with the missing data. In this work, software was developed using the interfaces provided by Beceem/Broadcom chip-set based software. Signals were collected from both the home network (MAXWell 4G network) and the foreign network (Clear 4G network). By combining the techniques in ROLAX, a distance error in the order of 4 meters was achieved in the live 4G networks

ED to Telemetry Bed: Optimizing Nurse Communication & Decreasing Team Frustration

PROBLEM: According to the Institute of Medicine, boarding inpatients in the emergency department (ED) can result in an increased risk for medical errors, delay in treatments, and decreased quality of care. The goal is to move the patient to the hospital bed within 60 minutes from when an order is written for admission. The current average monthly compliance for ED throughput and admission to the inpatient bed is at 45% compared to the target of 70%. Lack of standardization during handoff can lead to delays, miscommunication and causes team frustration. CONTEXT: In 2022, this community hospital’s ED microsystem had limited capacity, and increased ED volume compared to 2021. The hospital measures ED admissions to inpatient bed as a performance metric. One microsystem and one shift on a telemetry (tele) unit were identified to test and analyze new approaches to reduce delays, optimize nurse communication, decrease team frustration, and create a realistic business case. A 15% improvement was projected to yield an increase in efficiency by $60,346.44 for the tele unit. The ED’s loss for six months was estimated at$1,011,832.70 so a 15% improvement could yield a benefit of $151,774.90. INTERVENTIONS: In-person hand-off between the ED and the telemetry nurse was implemented. Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) evidence-based tool SBAR (Situation, Background, Assessment, Recommendation) was adopted to standardize reporting. The change was initially implemented on one shift, utilizing small test cycles, and was later established as a standard of communication on all shifts. MEASURES: The primary outcome measure was to track the ED to bed metric before and after each test of change with a target of 15% improvement over six months. The process measure included measuring nurse satisfaction with the current handoff process and the rate of compliance with the use of the SBAR tool on one shift (evenings). By July 1st, 2022, 65% of admissions on the second shift on the Telemetry unit were to experience a 1:1 handoff between the ED and the Telemetry nurse within 60 minutes from the time admit order is written utilizing the standardized TeamSTEPPS SBAR tool. RESULTS: Over six months, the practice change resulted in partial improvement. The time it took for the patient to leave the ED, from when the bed was assigned, decreased from 76 minutes to 26 minutes from January to April 2022. Interim data indicates the overall outcome measure remained unchanged at 45%. Standardization led to the timely start of care interventions on the telemetry unit leading to increased care team satisfaction. CONCLUSION: A Clinical Nurse Leader can effectively lead and collaborate between different microsystems to test and implement evidence-based tools and strategies to improve clinical, staff, and operational outcomes

Modelling, Dimensioning and Optimization of 5G Communication Networks, Resources and Services

This reprint aims to collect state-of-the-art research contributions that address challenges in the emerging 5G networks design, dimensioning and optimization. Designing, dimensioning and optimization of communication networks resources and services have been an inseparable part of telecom network development. The latter must convey a large volume of traffic, providing service to traffic streams with highly differentiated requirements in terms of bit-rate and service time, required quality of service and quality of experience parameters. Such a communication infrastructure presents many important challenges, such as the study of necessary multi-layer cooperation, new protocols, performance evaluation of different network parts, low layer network design, network management and security issues, and new technologies in general, which will be discussed in this book

Virtual Reality Applications and Development

Virtual Reality (VR) has existed for many years; however, it has only recently gained wide spread popularity and commercial use. This change comes from the innovations in head mounted displays (HMDs) and from the work of many software engineers making quality user experiences (UX). In this thesis, four areas are explored inside of VR. One area of research is within the use of VR for virtual environments and fire simulations. The second area of research is within the use of VR for eye tracking and medical simulations. The third area of research is within multiplayer development for more immersive collaborative simulations. Finally, the fourth area of research is within the development of typing in 3D for virtual reality. Extending from this final area of research, this thesis details an application that details more practical and granular details about developing for VR and using the real-time development platform, Unity

Information transfer problems in the aviation system

Problems in the transfer of information within the aviation system are discussed. Particular attention is given to voice communication problems in both intracockpit and air/ground situations