IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
13–16 September 2021 // Virtual Conference // By 6G Flagship

Localization-of-Things in Beyond 5G Ecosystems

Instructors

Dr. Moe Z. Win
Massachusetts Institute of Technology, USA

Andrea Conti
University of Ferrara, Italy

Motivation

Motivation and objectives: The availability of real-time high-accuracy location awareness is essential for current and future wireless applications, particularly for the Internet-of-Things and beyond 5G ecosystem. Reliable localization and navigation of people, objects, and vehicles –Localization-of-Things–is a critical component for a diverse set of applications including connected communities, smart environments, vehicle autonomy, assettracking, medical services, military systems, and crowd sensing. The coming years will see the emergence of network localization and navigation in challenging environments with sub-meter accuracy and minimal infrastructure requirements.Network localizationand navigationgive rise to a new paradigm for context-aware wireless communications, enablinga variety of new applicationsthat rely on position information of mobile nodes. As the ability to localize devices in wireless networks becomes increasingly important, it is necessary for researchers in communications to be aware of both the fundamentals and the state of the art in location-aware networks. This tutorial is aimed at students and practitioners to provide this knowledge in a rigorous, yet conciseform.

Scope

Attendees of this tutorial will learn about location-aware networks in two ways. On the one hand, they will get a high-level overview of fundamental performance bounds,ranging techniques, positioning algorithms, and network experimentation. On the other hand, the tutorial will serve as an introduction to the state of the art inlocation inference for active and passive localization employing wideband wireless technologies. Results based on measurements collected via network experimentation employing wideband and ultra-wideband radios are used to illustrate the concepts.

Abstract

The availability of real-time high-accuracy location awareness is essential for current and future wireless applications, particularly those involvingInternet-of-Things and beyond 5G ecosystem. Reliable localization and navigation of people, objects, and vehicles –Localization-of-Things–is a critical component for a diverse set of applications including connected communities, smart environments, vehicle autonomy, assettracking, medical services, military systems, and crowd sensing. The coming years will see the emergence of network localization and navigation in challenging environments with sub-meter accuracy and minimal infrastructure requirements.
We will discuss the limitations of traditional positioning, and move on to the key enablers for high-accuracy location awareness: wideband transmission and cooperative processing. Topics covered will include: fundamental bounds, cooperative algorithms, and network experimentation. Fundamental bounds serve as performance benchmarks, and as a tool for network design. Cooperative algorithms are a way to achieve dramaticperformance improvements comparedto traditional non-cooperative positioning. To harness these benefits, system designersmust consider realistic operational settings; thus,we presentthe performance of cooperative localizationbased on measurement campaigns.

Structure and content

The presentation outline is as follows.
  1. Goals
  2. Localization
    1. Problem Formulation
    2. Requirements
  3. Localization Basics
    1. Measurement Phase
    2. Localization Phase
    3. Performance Evaluation
  4. Localization Systems
    1. Examples
    2. Limitations
  5. High-accuracy Localization
    1. Theoretical Foundation
    2. Cooperative Algorithms
    3. Network Experimentation
    4. PerformanceEvaluation
  6. Localization of Untagged Objects
    1. Problem Formulation
    2. Performance Evaluation
  7. Research Directions
  8. Summary and Conclusions