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TR 38.855RAN1
Study on NR Positioning support

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V16.0.0 (Wzip)  2019/03  197 p.

WI Acronym:  FS_NR_pos
Rapporteur:  Mr. Khoryaev, AlexeyIntel Corporation (UK) Ltd

The purpose of the present document is to support NR positioning in TSG RAN WG1, WG2 and WG3 to properly model and evaluate the performance of NR positioning solutions in deployment scenarios representing relevant use cases, both regulatory and commercial.

full Table of Contents for  TR 38.855  Word version:   16.0.0

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1  ScopeWord-p. 7
2  References
[1] RP-182155, "SID, "Study on NR positioning support"
[2] 3GPP TR 21.905, "Vocabulary for 3GPP Specifications".
[3] 3GPP TS 22.071, "Location Services (LCS); Service description; Stage 1".
[4] 3GPP TS 22.261, "Service requirements for next generation new services and markets"
[5] 3GPP TR 22.804, "Study on Communication for Automation in Vertical domains (CAV)"
[6] SP-170589, "New SID on Study on positioning use cases"
[7] 3GPP TR 22.872, "Study on positioning use cases"
[8] 3GPP TR 38.913, "Study on scenarios and requirements for next generation access technologies"
[9] 3GPP TR 22.862, "Feasibility study on new services and markets technology enablers for critical communications; Stage 1"
[10] R1-1901577, "Performance evaluations for NR positioning", Huawei, HiSilicon
[11] R1-1901717, "Evaluation for RAT-Dependent Positioning Techniques", vivo
[12] R1-1901781, "System-level evaluations on Rat-dependent positioning", ZTE Corporation, Sanechips
[13] R1-1903331, "System level performance with explicit link level simulation for downlink OTDOA and angle based techniques", MediaTek Inc.
[14] R1-1901850, "Updated system level simulation results for NR Positioning", Nokia, Nokia Shanghai Bell
[15] R1- 1903222, "Updated System-level Performance Evaluation for NR Positioning", CATT
[16] R1- 1903347, "Discussion on Performance Evaluation for RAT-Dependent Positioning Techniques", LG Electronics
[17] R1-1902246, "System-level Performance Evaluation for RAT-Dependent Positioning Techniques", Samsung
[18] R1-1902397, "System-level Performance Evaluation for SSB Angle Based Positioning", Polaris Wireless
[19] R1-1902514, "NR Positioning Evaluation Results", Intel Corporation
[20] R1-1902550, "System level simulations for OTDOA", ESA
[21] R1-1902698, "System-level Performance Evaluation of Co-band TBS for TR 38.855", BUPT, ZTE, CAICT
[22] R1-1903386, "Evaluation results for NR positioning", Mitsubishi Electric Co.
[23] R1-1903021, "Evaluation results for RAT-dependent positioning Techniques", Qualcomm Incorporated
[24] R1-1903054, "SLS results for NR positioning potential solutions", Fraunhofer IIS, Fraunhofer HHI
[25] R1-1903142, "System-level Performance Evaluation for RAT-Dependent Positioning Techniques", Ericsson
3  Definitions and abbreviationsWord-p. 9
4  General description of NR positioning
The 3GPP NR radio-technology is uniquely positioned to provide added value in terms of enhanced location capabilities. The operation in low and high frequency bands (i.e. below and above 6GHz) and utilization of massive antenna arrays provides additional degrees of freedom to substantially improve the positioning accuracy. The possibility to use wide signal bandwidth in low and especially in high bands brings new performance bounds for user location for well-known positioning techniques based DL-TDOA and UL-TDOA, Cell-ID or E-Cell-ID etc., utilizing timing measurements to locate UE. The recent advances in massive antenna systems (massive MIMO) can provide additional degrees of freedom to enable more accurate user location by exploiting spatial and angular domains of propagation channel in combination with time measurements.
A general description of location services and service requirements are given in TS 22.071.
Rel-15 NR WI specified Cell-ID, inter-RAT and RAT-independent positioning methods by reusing LPP, but NR standalone based RAT-dependent positioning was excluded.
According to [4], the 5G system shall support the use of 3GPP and non-3GPP technologies to achieve higher accuracy positioning. The corresponding positioning information shall be acquired in a timely fashion, be reliable, and be available (e.g., it is possible to determine the position). The 3GPP system also presents 5G communication for automation in vertical domains [5]. This is communication that is involved in the production of and working on work pieces and goods, and/or the delivery of services in the physical world. Such communication often necessitates low latency, high reliability, and high communication service availability.
The SA1 HYPOS study [6] focused on positioning use cases in indoor and outdoor environments. The technical report [7] complements existing work on 5G use cases involving positioning needs in order to identify potential requirements for 5G positioning services. The document further develops the identified use cases by providing some considerations on the suitability of positioning technologies to these use cases.
5  Rel-16 NR positioning requirementsWord-p. 11
Regulatory requirements are considered as a minimum performance targets for NR Positioning studies. Additional requirements based on commercial use cases can be used as input performance targets that are subject to further analysis in terms of performance/ complexity tradeoffs in different evaluation scenarios. For regulatory use cases, the following requirements are considered as a minimum performance targets for NR positioning:
  • Horizontal positioning error ≤ 50m for 80% of UEs
  • Vertical positioning error < 5 m for 80% of UEs
  • End to end latency and TTFF < 30 seconds
As a starting point for commercial use cases, the following requirements are considered as performance targets for RAT dependent solutions, which are subject to further analysis in terms of performance/ complexity tradeoffs of NR positioning radio-layer solutions:
  • Horizontal positioning error < 3m for 80% of UEs in indoor deployment scenarios
  • Vertical positioning error < 3m for 80% of UEs in indoor deployment scenarios
  • Horizontal positioning error < 10m for 80% of UEs in outdoor deployments scenarios
  • Vertical positioning error < 3m for 80% of UEs in outdoor deployment scenarios
  • End to end latency < 1s
6  Deployment scenarios and evaluation methodologies for NR positioningWord-p. 12
6.1  Scenarios and system parameters for positioning evaluations
For evaluating baseline performance, scenarios (with various options/configurations) are defined below for RAT dependent positioning techniques for NR positioning study
  • Scenario 1. Indoor Office for FR1 and FR2 (Open office)
  • Scenario 2. UMi street canyon for FR1 and FR2 (ISD 200m)
  • Scenario 3. UMa (ISD 500m) for FR1 only (Macro cell only deployment scenario)
The evaluation methodology does not define any baseline reference signals. The existing channel models as provided in the TR 38.901 are used for NR positioning evaluation as a baseline. The results from the evaluations can potentially be used to select a subset of the reference signals studied as part of the evaluations when considering design options. Companies can provide additional results and describe modifications made for NLOS channel model.
6.2  Performance metricsWord-p. 15
7  Studied NR positioning technologies
8  Evaluation results of NR positioningWord-p. 19
8.1  Downlink evaluations
8.1.1  System simulations for Scenario 1 - Indoor Office
8.1.2  System simulations for Scenario 2 - UMiWord-p. 50
8.1.3  System simulations for Scenario 3 - UMaWord-p. 81
8.2  Uplink evaluationsWord-p. 106
8.3  Downlink and uplink evaluationsWord-p. 150
8.4  GNSS and Hybrid NR-GNSS EvaluationsWord-p. 181
8.5  Summary for evaluationsWord-p. 186
9  Identified NR impacts
10  Conclusions
A  Change historyWord-p. 197

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