A Comprehensive Guide to 5G Security, First Edition. Edited by Madhusanka Liyanage, Ijaz Ahmad,
Ahmed Bux Abro, Andrei Gurtov, and Mika Ylianttila.
© 2018 John Wiley & Sons Ltd. Published 2018 by John Wiley & Sons Ltd.
281
13
13.1 Introduction
Positioning has so far been an add‐on feature to mobile phone standards. Wireless positioning typically relies on power‐hunger technology and has traditionally been designed
and optimized separately from the communication part. With the advent of 5G communications, this is likely to change and joint communication‐positioning architectures
based on 5G are expected to be implemented. The official 3GPP target for future cellular networks is to support 1 trillion devices [3]. The 5G concept is based on dense
access point deployment and very large bandwidths, and thus it has an intrinsic capacity
to achieve very accurate positioning, at extremely low energy consumption in mobile
device. However, this requires a careful design of the 5G network in order to utilize fully
this positioning potential without a negative impact on the communications features.
The top candidates in future 5G positioning are likely to rely on Time of Arrival (TOA), Time
Difference of Arrival (TDOA), Direction or angle of Arrival (DOA), and Received Signal
Strength (RSS) information. 5G white papers [3,81] specify that the enhanced 5G services should support network‐based positioning capabilities, “with accuracy from 10 m
to more than 1 m on 80% of occasions, and better than 1 m for indoor deployments”, and
even up to 0.3 m in automotive applications. Such a high resolution in locating the user
terminal can trigger, on one hand, enormous benefits for both the network operators
and end users, for example in terms of user‐personalized Location Based Services, location‐aware and context‐based optimized Radio Resource Management, power and
latency optimized end‐to‐end communications, and location‐aware interference mitigation. On the other hand, it can create important privacy concerns from the users’
point of view and it can prove to be sensitive to intentional interferences and security
breaches in the mobile localization. Moreover, with the advent of cloud 5G positioning
[85], the Location Information Service Providers will likely have to cope with hacker
attacks into the databases and malicious or erroneous data inputs.
5G Positioning: Security and Privacy Aspects
Elena Simona Lohan
1
, Anette Alén‐Savikko
2
, Liang Chen
3
, Kimmo Järvinen
4
,
Helena Leppäkoski
1
, Heidi Kuusniemi
3
, and Päivi Korpisaari
2
1 Tampere University of Technology
2 University of Helsinki, Faculty of Law
3 Finnish Geospatial Research Institute
4 University of Helsinki, Department of Computer Science
Ahmed Bux Abro, Andrei Gurtov, and Mika Ylianttila.
© 2018 John Wiley & Sons Ltd. Published 2018 by John Wiley & Sons Ltd.
281
13
13.1 Introduction
Positioning has so far been an add‐on feature to mobile phone standards. Wireless positioning typically relies on power‐hunger technology and has traditionally been designed
and optimized separately from the communication part. With the advent of 5G communications, this is likely to change and joint communication‐positioning architectures
based on 5G are expected to be implemented. The official 3GPP target for future cellular networks is to support 1 trillion devices [3]. The 5G concept is based on dense
access point deployment and very large bandwidths, and thus it has an intrinsic capacity
to achieve very accurate positioning, at extremely low energy consumption in mobile
device. However, this requires a careful design of the 5G network in order to utilize fully
this positioning potential without a negative impact on the communications features.
The top candidates in future 5G positioning are likely to rely on Time of Arrival (TOA), Time
Difference of Arrival (TDOA), Direction or angle of Arrival (DOA), and Received Signal
Strength (RSS) information. 5G white papers [3,81] specify that the enhanced 5G services should support network‐based positioning capabilities, “with accuracy from 10 m
to more than 1 m on 80% of occasions, and better than 1 m for indoor deployments”, and
even up to 0.3 m in automotive applications. Such a high resolution in locating the user
terminal can trigger, on one hand, enormous benefits for both the network operators
and end users, for example in terms of user‐personalized Location Based Services, location‐aware and context‐based optimized Radio Resource Management, power and
latency optimized end‐to‐end communications, and location‐aware interference mitigation. On the other hand, it can create important privacy concerns from the users’
point of view and it can prove to be sensitive to intentional interferences and security
breaches in the mobile localization. Moreover, with the advent of cloud 5G positioning
[85], the Location Information Service Providers will likely have to cope with hacker
attacks into the databases and malicious or erroneous data inputs.
5G Positioning: Security and Privacy Aspects
Elena Simona Lohan
1
, Anette Alén‐Savikko
2
, Liang Chen
3
, Kimmo Järvinen
4
,
Helena Leppäkoski
1
, Heidi Kuusniemi
3
, and Päivi Korpisaari
2
1 Tampere University of Technology
2 University of Helsinki, Faculty of Law
3 Finnish Geospatial Research Institute
4 University of Helsinki, Department of Computer Science