Location Based Services In Cellular Networks From Gsm To 5g Nr

This exciting new book delivers a comprehensive overview of the cellular network architecture, with focus on the positioning applications and emergency call services, and covers aspects brought by 5G, including the core virtualization and the network slicing to optimize cellular network deployments. Focus is given to the different positioning technologies used in cellular networks, divided in satellite positioning, terrestrial radio positioning, non-RF positioning and a brief introduction to sensor fusion and Bayesian theory. It provides an overview of all the positioning technologies used in cellular networks, from GSM to 5G, from RAT independent technologies, such as A-GNSS (including GNSS evolution, RTK and PPP), WiFi, Bluetooth and sensor fusion, to cellular network native technologies, such as OTDOA / DL-TDOA, ECID, multi-cell RTT and the Angle Of Arrival (AOA) based techniques that take advantage of 5G mmWave beamforming features. Different positioning protocols, especially the LTE Positioning Protocol (LPP), which is used for LTE and 5G NR and defines the communication between the user device (mobile phone, connected vehicle, etc.) and the base station are explained extensively, and compares it with other competing protocols such as OMA LPPE. Furthermore, it also explains the core network positioning protocols (LPPa, NRPPa), that describe the communication between the location server and the core network. Explanation of different signaling parameters will enable the reader to understand better how positioning works in a cellular network. The contents of this book are aimed at all types of users, from beginners to the concept of positioning to experts that are looking to enhance their knowledge of positioning in cellular networks.

POSITIONING AND LOCATION-BASED ANALYTICS IN 5G AND BEYOND Understand the future of cellular positioning with this introduction The fifth generation (5G) of mobile network technology are revolutionizing numerous aspects of cellular communication. Location information promises to make possible a range of new location-dependent services for end users and providers alike. With the new possibilities of this location technology comes a new demand for location-based analytics, a new paradigm for generating and analyzing dynamic location data for a wide variety of purposes. Positioning and Location-based Analytics in 5G and Beyond introduces the foundational concepts related to network localization, user positioning, and location-based analytics in the context of cutting-edge mobile networks. It includes information on current location-based technologies and their application, and guidance on the future development of location systems beyond 5G. The result is an accessible but rigorous guide to a bold new frontier in cellular technology. Positioning and Location-based Analytics in 5G and Beyond readers will also find: Contributions from leading researchers and industry professionals High-level insights into 5G and its future evolution In-depth coverage of subjects such as positioning enablers, location-aware network management, reference standard architectures, and more Positioning and Location-based Analytics in 5G and Beyond is ideal for researchers and industry professionals with an understanding of network communications and a desire to understand the future of the field.

This text discusses how to find the location of mobile devices in the wireless Internet, specifically those that involve the determination of the geographic location of mobile devices. It offers exclusive coverage of the technical aspects of privacy such as linkability, anonymity and identity management.

TOPICS IN THE BOOK Decoding Lambda API Architectures: Analyzing Monolithic Lambda Functions versus Fine-Grained Single-Purpose Functions Driver Safety High Cabin and Chassis Design in Diesel Forklifts Enhanced Network Reliability Following Emergency (E911) Calls Artificial Intelligence and Energy Efficiency of 5G Radio Access Network Demystifying AI: Navigating the Balance between Precision and Comprehensibility with Explainable Artificial Intelligence

Location-Based Services Handbook: Applications, Technologies, and Security is a comprehensive reference containing all aspects of essential technical information on location-based services (LBS) technology. With broad coverage ranging from basic concepts to research-grade material, it presents a much-needed overview of technologies for positioning and localizing, including range- and proximity-based localization methods, and environment-based location estimation methods. Featuring valuable contributions from field experts around the world, this book addresses existing and future directions of LBS technology, exploring how it can be used to optimize resource allocation and improve cooperation in wireless networks. It is a self-contained, comprehensive resource that presents: A detailed description of the wireless location positioning technology used in LBS Coverage of the privacy and protection procedure for cellular networks—and its shortcomings An assessment of threats presented when location information is divulged to unauthorized parties Important IP Multimedia Subsystem and IMS-based presence service proposals The demand for navigation services is predicted to rise by a combined annual growth rate of more than 104 percent between 2008 and 2012, and many of these applications require efficient and highly scalable system architecture and system services to support dissemination of location-dependent resources and information to a large and growing number of mobile users. This book offers tools to aid in determining the optimal distance measurement system for a given situation by assessing factors including complexity, accuracy, and environment. It provides an extensive survey of existing literature and proposes a novel, widely applicable, and highly scalable architecture solution. Organized into three major sections—applications, technologies, and security—this material fully covers various location-based applications and the impact they will have on the future.

The Present and Future of Indoor Navigation provides a complete overview of the latest indoor navigation technologies, algorithms, and systems. It begins by discussing various types of sensors that can be used for indoor navigation, such as accelerometers, gyroscopes, barometers, magnetometers, and cameras. It covers the numerous algorithms that can be used to compute the navigation solution, including Kalman filtering, particle filtering, and machine learning. Also, it discusses the system implementation considerations for indoor navigation, such as infrastructure, data fusion, and security. The book’s focus is on present technologies and algorithms, as well as providing a look into the future possibilities for indoor navigation, making it a great resource for a wide audience. This includes researchers, engineers, and students who are interested in indoor navigation. It is also a valuable resource for anyone who wants to learn more about the latest technologies and algorithms for indoor navigation.

The possibilities for positioning in cellular networks has increased over time, pushed by increased needs for location based products and services for a variety of purposes. It all started with rough position estimates based on timing measurements and sector information available in the global system for mobile communication (gsm), and today there is an increased standardization effort to provide more position relevant measurements in cellular communication systems to improve on localization accuracy and availability. A first purpose of this thesis is to survey recent efforts in the area and their potential for localization. The rest of the thesis then investigates three particular aspects, where the focus is on timing measurements. How can these be combined in the best way in long term evolution (lte), what is the potential for the new narrow-band communication links for localization, and can the timing measurement error be more accurately modeled? The first contribution concerns a narrow-band standard in lte intended for internet of things (iot) devices. This lte standard includes a special position reference signal sent synchronized by all base stations (bs) to all iot devices. Each device can then compute several pair-wise time differences that corresponds to hyperbolic functions. Using multilateration methods the intersection of a set of such hyperbolas can be computed. An extensive performance study using a professional simulation environment with realistic user models is presented, indicating that a decent position accuracy can be achieved despite the narrow bandwidth of the channel. The second contribution is a study of how downlink measurements in lte can be combined. Time of flight (tof) to the serving bs and time difference of arrival (tdoa) to the neighboring bs are used as measurements. From a geometrical perspective, the position estimation problem involves computing the intersection of a circle and hyperbolas, all with uncertain radii. We propose a fusion framework for both snapshot estimation and filtering, and evaluate with both simulated and experimental field test data. The results indicate that the position accuracy is better than 40 meters 95% of the time. A third study in the thesis analyzes the statistical distribution of timing measurement errors in lte systems. Three different machine learning methods are applied to the experimental data to fit Gaussian mixture distributions to the observed measurement errors. Since current positioning algorithms are mostly based on Gaussian distribution models, knowledge of a good model for the measurement errors can be used to improve the accuracy and robustness of the algorithms. The obtained results indicate that a single Gaussian distribution is not adequate to model the real toa measurement errors. One possible future study is to further develop standard algorithms with these models.

This comprehensive resource contains a detailed methodology for assessing, analyzing and optimizing End-to-End Service Performance under different cellular technologies (GPRS, EDGE, WCDMA and CDMA2000). It includes guidelines for analyzing numerous different services, including FTP, WEB streaming and POC, including examples of analysis and troubleshooting from a user point-of-view. Focuses on the end-user perspective, with a detailed analysis of the main sources of service performance degradation and a comprehensive description of mobile data services Includes a detailed presentation of generic key performance indicators (KPIs) which can be re-defined to comply with each particular network Provides service performance benchmarking for different technologies from real networks Explores a new approach to service management known as customer experience management, including the reasons why it is overcoming traditional service management and its impact on revenues and customer satisfaction Illustrates all points throughout using real world examples gleaned from cutting-edge research This book draws together findings from authoritative sources that will appeal to cellular network operators and vendors. The theory-based, practical approach will be of interest to postgraduate students and telecommunication and consulting companies working in the field of cellular technologies.