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Advances in Enabling Technologies for Next Generation 3D Network Localization, Tracking, and Navigation

Call for Papers

Localization, tracking, and navigation systems are attracting growing attention from researchers, engineers, and practitioners mainly due to the consumer penetration of high-end, sensor-rich mobile devices and the ubiquity of wireless communication networks. These systems span different application domains from customer-centric location-based services, such as mobile advertising and behavioral retail analytics, to wireless network operations, including optimizing hand-offs, load balancing, transmission scheduling, and resource allocation, to emergency call positioning, like E911 in the US and E112 in the EU.

While satellite-based localization is the default solution in outdoor environments with clear sky view, there is no prevailing technology for GNSS-deprived areas, including densely built city centers, urban canyons, and importantly deep inside buildings, where satellite signals are severely attenuated or totally blocked. As recent statistics indicate that nowadays people spend most of their time inside buildings and the majority of cellular calls and data connections originate from indoors, there is an increasing demand for highly accurate indoor localization systems. Especially for emergency response services, the American Federal Communications Commission (FCC) launched stringent requirements in February 2015 on network operators asking for a 50-meter horizontal accuracy to be provided incrementally for 40%–80% of emergency calls within 2–6 years, as well as a proposal for a vertical accuracy metric to be approved and comply with within 6 years.

In order to meet the requirements for next generation 3D location several enabling technologies need to be advanced, including accurate floor determination, reliable indoor/outdoor identification, user mobility classification, and seamless outdoor-to-indoor transition. Moreover, upcoming technologies and industry trends including the Internet of Things, self-optimizing networks, and 5G communication networks necessitate the development of enhanced localization solutions to address new challenges except for high 3D location accuracy, such as scalability, energy efficiency, security, and privacy. These solutions require advanced signal processing methods, hybridization of existing techniques, and intelligent information fusion algorithms to fully exploit location-dependent signals of opportunity, including cellular 2G/3G/4G, WiFi, Bluetooth, UWB, RFID, FM, and digital TV. At the same time technological gaps, including mitigation of multipath radio propagation, non-line-of-sight detection, channel state estimation, and high-resolution angle and timing measurements, should be bridged.

The purpose of this special issue is to provide the state-of-the-art solutions to open research issues and current technological challenges in 3D network localization, tracking, and navigation. High-quality research papers as well as review articles addressing recent advances and latest developments are sought. We invite original contributions from both academia and industry that are not yet published or that are not currently under review by other journals or peer-reviewed conferences.

Potential topics include but are not limited to the following:

  • Advances in indoor and outdoor cellular 3D localization methods
  • Emerging technologies for 3D indoor localization, including small cells, Distributed Antenna Systems, IEEE 802.11v, and terrestrial beacons
  • Information fusion for heterogeneous technologies, including RF, IMU, and magnetic sensory data
  • Robust sensor-assisted 3D indoor tracking with respect to arbitrary movement, different device carrying conditions (phoning, dangling, handheld, pocket, and bag), and various user motion profiles
  • Signal processing for enhanced 3D AoA/ToA/TDoA ranging
  • Mobile data management for location-based services
  • Reliable indoor/outdoor identification
  • Accurate vertical localization and floor determination
  • Seamless outdoor-to-indoor transition
  • Data-driven learning algorithms for 3D indoor mapping and navigation
  • Architectures, algorithms, and data storage solutions for global self-learning and crowd-sourced 3D indoor positioning solutions
  • Network-side user mobility state estimation
  • Cooperative 3D localization and navigation
  • Hybrid solutions for Heterogeneous Networks
  • Location technologies for Intelligent Transportation Systems
  • 3D localization techniques for 5G and the Internet of Things

Authors can submit their manuscripts through the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/wcmc/3dnl/.

Manuscript DueFriday, 10 March 2017
First Round of ReviewsFriday, 2 June 2017
Publication DateFriday, 28 July 2017

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