High-Efficiency Device Localization in 5G Ultra-Dense Networks: Prospects and Enabling Technologies

Aki Hakkarainen; Janis Werner; Mario Costa; Kari Leppänen; Mikko Valkama

doi:10.1109/VTCFall.2015.7390965

High-Efficiency Device Localization in 5G Ultra-Dense Networks: Prospects and Enabling Technologies

Aki Hakkarainen, Janis Werner, Mario Costa, Kari Leppänen, Mikko Valkama

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

26 Citations (Scopus)

Abstract

The deployment of future 5G ultra-dense small cell networks provides unprecedented opportunities to create an advanced localization system that meets the demands of future location-based services and functionalities. In this paper, we present technical enablers for obtaining location information of user nodes (UNs) in a network-centric manner. More specifically, we focus on signal properties, access node (AN) hardware and AN deployments in the envisioned 5G systems. Moreover, we provide illustrative examples of the expected localization performance and indicate how to efficiently predict the UN location. Finally, we offer insights into the utilization of location-awareness and location prediction, and show that it provides substantial benefits compared to existing radio networks.

Original language	English
Title of host publication	2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)
DOIs	https://doi.org/10.1109/VTCFall.2015.7390965
Publication status	Published - Sept 2015
Publication type	A4 Article in conference proceedings
Event	IEEE Vehicular Technology Conference - Duration: 1 Jan 1900 → …

Conference

Conference	IEEE Vehicular Technology Conference
Period	1/01/00 → …

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10.1109/VTCFall.2015.7390965

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@inproceedings{94a86ea364484842967ded9a1b902f22,

title = "High-Efficiency Device Localization in 5G Ultra-Dense Networks: Prospects and Enabling Technologies",

abstract = "The deployment of future 5G ultra-dense small cell networks provides unprecedented opportunities to create an advanced localization system that meets the demands of future location-based services and functionalities. In this paper, we present technical enablers for obtaining location information of user nodes (UNs) in a network-centric manner. More specifically, we focus on signal properties, access node (AN) hardware and AN deployments in the envisioned 5G systems. Moreover, we provide illustrative examples of the expected localization performance and indicate how to efficiently predict the UN location. Finally, we offer insights into the utilization of location-awareness and location prediction, and show that it provides substantial benefits compared to existing radio networks.",

author = "Aki Hakkarainen and Janis Werner and Mario Costa and Kari Lepp{\"a}nen and Mikko Valkama",

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AU - Leppänen, Kari

AU - Valkama, Mikko

PY - 2015/9

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N2 - The deployment of future 5G ultra-dense small cell networks provides unprecedented opportunities to create an advanced localization system that meets the demands of future location-based services and functionalities. In this paper, we present technical enablers for obtaining location information of user nodes (UNs) in a network-centric manner. More specifically, we focus on signal properties, access node (AN) hardware and AN deployments in the envisioned 5G systems. Moreover, we provide illustrative examples of the expected localization performance and indicate how to efficiently predict the UN location. Finally, we offer insights into the utilization of location-awareness and location prediction, and show that it provides substantial benefits compared to existing radio networks.

AB - The deployment of future 5G ultra-dense small cell networks provides unprecedented opportunities to create an advanced localization system that meets the demands of future location-based services and functionalities. In this paper, we present technical enablers for obtaining location information of user nodes (UNs) in a network-centric manner. More specifically, we focus on signal properties, access node (AN) hardware and AN deployments in the envisioned 5G systems. Moreover, we provide illustrative examples of the expected localization performance and indicate how to efficiently predict the UN location. Finally, we offer insights into the utilization of location-awareness and location prediction, and show that it provides substantial benefits compared to existing radio networks.

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DO - 10.1109/VTCFall.2015.7390965

M3 - Conference contribution

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BT - 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)

T2 - IEEE Vehicular Technology Conference

Y2 - 1 January 1900

ER -

High-Efficiency Device Localization in 5G Ultra-Dense Networks: Prospects and Enabling Technologies

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