Downlink Sensing in 5G-Advanced and 6G:SIB1-assisted SSB Approach

Moeinreza Golzadeh; Esa Tiirola; Lauri Anttila; Jukka Talvitie; Kari Hooli; Oskari Tervo; Ismael Peruga; Sami Hakola; Mikko Valkama

doi:10.1109/VTC2023-Spring57618.2023.10200933

Downlink Sensing in 5G-Advanced and 6G:SIB1-assisted SSB Approach

Moeinreza Golzadeh^*
, Esa Tiirola
, Lauri Anttila
, Jukka Talvitie
, Kari Hooli
, Oskari Tervo
, Ismael Peruga
, Sami Hakola
, Mikko Valkama

^*Corresponding author for this work

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

6 Citations (Scopus)

292 Downloads (Pure)

Abstract

This paper investigates the potential to leverage existing 5G NR signals for network-side integrated sensing and communications (ISAC). In general, the synchronization signal block (SSB) is a suitable candidate for always-on downlink sensing, due to its frequent periodical availability and because of its beam-sweeping nature. However, as this work demonstrates, using only the SSB has challenges related to radar ambiguity while being also limited in both distance and velocity resolution due to limited bandwidth and per-beam time duration, respectively. A novel solution is then introduced by combining SSB with downlink control information (DCI) and system information block 1 (SIB1) symbols. The corresponding implications and variants how SIB1 is optimized and configured are discussed, covering both 5G evolution and potential 6G solutions. The performance of the proposed approach is also assessed through realistic numerical evaluations at both 3.5 GHz and 28 GHz network deployments, and shown to yield up to 25 dB suppression in radar peak sidelobe level (PSL) compared to SSB-only based range-velocity profile. Also considerable improvements in the sensing resolution in the order of 120-190% are demonstrated.

Original language	English
Title of host publication	2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
Publisher	IEEE
ISBN (Electronic)	9798350311143
ISBN (Print)	9798350311150
DOIs	https://doi.org/10.1109/VTC2023-Spring57618.2023.10200933
Publication status	Published - 2023
Publication type	A4 Article in conference proceedings
Event	IEEE Vehicular Technology Conference - Florence, Italy Duration: 20 Jun 2023 → 23 Jun 2023 Conference number: 97

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1090-3038
ISSN (Electronic)	2577-2465

Conference

Conference	IEEE Vehicular Technology Conference
Country/Territory	Italy
City	Florence
Period	20/06/23 → 23/06/23

Keywords

5G-Advanced
6G
integrated sensing and communications
network as sensor
OFDM radar
radar ambiquity
SIB1
SSB

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Applied Mathematics

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10.1109/VTC2023-Spring57618.2023.10200933

Downlink Sensing in 5G-Advanced
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Accepted author manuscript, 1.31 MBLicence: Unspecified

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Golzadeh, M., Tiirola, E., Anttila, L., Talvitie, J., Hooli, K., Tervo, O., Peruga, I., Hakola, S., & Valkama, M. (2023). Downlink Sensing in 5G-Advanced and 6G:SIB1-assisted SSB Approach. In 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings (IEEE Vehicular Technology Conference). IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10200933

@inproceedings{64d56d4d351c4e9e87bad9f072a44b32,

title = "Downlink Sensing in 5G-Advanced and 6G:SIB1-assisted SSB Approach",

abstract = "This paper investigates the potential to leverage existing 5G NR signals for network-side integrated sensing and communications (ISAC). In general, the synchronization signal block (SSB) is a suitable candidate for always-on downlink sensing, due to its frequent periodical availability and because of its beam-sweeping nature. However, as this work demonstrates, using only the SSB has challenges related to radar ambiguity while being also limited in both distance and velocity resolution due to limited bandwidth and per-beam time duration, respectively. A novel solution is then introduced by combining SSB with downlink control information (DCI) and system information block 1 (SIB1) symbols. The corresponding implications and variants how SIB1 is optimized and configured are discussed, covering both 5G evolution and potential 6G solutions. The performance of the proposed approach is also assessed through realistic numerical evaluations at both 3.5 GHz and 28 GHz network deployments, and shown to yield up to 25 dB suppression in radar peak sidelobe level (PSL) compared to SSB-only based range-velocity profile. Also considerable improvements in the sensing resolution in the order of 120-190\% are demonstrated.",

keywords = "5G-Advanced, 6G, integrated sensing and communications, network as sensor, OFDM radar, radar ambiquity, SIB1, SSB",

author = "Moeinreza Golzadeh and Esa Tiirola and Lauri Anttila and Jukka Talvitie and Kari Hooli and Oskari Tervo and Ismael Peruga and Sami Hakola and Mikko Valkama",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; IEEE Vehicular Technology Conference ; Conference date: 20-06-2023 Through 23-06-2023",

year = "2023",

doi = "10.1109/VTC2023-Spring57618.2023.10200933",

language = "English",

isbn = "9798350311150",

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publisher = "IEEE",

booktitle = "2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings",

address = "United States",

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Golzadeh, M, Tiirola, E, Anttila, L , Talvitie, J, Hooli, K, Tervo, O, Peruga, I, Hakola, S & Valkama, M 2023, Downlink Sensing in 5G-Advanced and 6G:SIB1-assisted SSB Approach. in 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. IEEE Vehicular Technology Conference, IEEE, IEEE Vehicular Technology Conference, Florence, Italy, 20/06/23. https://doi.org/10.1109/VTC2023-Spring57618.2023.10200933

Downlink Sensing in 5G-Advanced and 6G:SIB1-assisted SSB Approach. / Golzadeh, Moeinreza; Tiirola, Esa; Anttila, Lauri et al.
2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. IEEE, 2023. (IEEE Vehicular Technology Conference).

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

TY - GEN

T1 - Downlink Sensing in 5G-Advanced and 6G:SIB1-assisted SSB Approach

AU - Golzadeh, Moeinreza

AU - Tiirola, Esa

AU - Anttila, Lauri

AU - Talvitie, Jukka

AU - Hooli, Kari

AU - Tervo, Oskari

AU - Peruga, Ismael

AU - Hakola, Sami

AU - Valkama, Mikko

N1 - Conference code: 97

PY - 2023

Y1 - 2023

N2 - This paper investigates the potential to leverage existing 5G NR signals for network-side integrated sensing and communications (ISAC). In general, the synchronization signal block (SSB) is a suitable candidate for always-on downlink sensing, due to its frequent periodical availability and because of its beam-sweeping nature. However, as this work demonstrates, using only the SSB has challenges related to radar ambiguity while being also limited in both distance and velocity resolution due to limited bandwidth and per-beam time duration, respectively. A novel solution is then introduced by combining SSB with downlink control information (DCI) and system information block 1 (SIB1) symbols. The corresponding implications and variants how SIB1 is optimized and configured are discussed, covering both 5G evolution and potential 6G solutions. The performance of the proposed approach is also assessed through realistic numerical evaluations at both 3.5 GHz and 28 GHz network deployments, and shown to yield up to 25 dB suppression in radar peak sidelobe level (PSL) compared to SSB-only based range-velocity profile. Also considerable improvements in the sensing resolution in the order of 120-190% are demonstrated.

AB - This paper investigates the potential to leverage existing 5G NR signals for network-side integrated sensing and communications (ISAC). In general, the synchronization signal block (SSB) is a suitable candidate for always-on downlink sensing, due to its frequent periodical availability and because of its beam-sweeping nature. However, as this work demonstrates, using only the SSB has challenges related to radar ambiguity while being also limited in both distance and velocity resolution due to limited bandwidth and per-beam time duration, respectively. A novel solution is then introduced by combining SSB with downlink control information (DCI) and system information block 1 (SIB1) symbols. The corresponding implications and variants how SIB1 is optimized and configured are discussed, covering both 5G evolution and potential 6G solutions. The performance of the proposed approach is also assessed through realistic numerical evaluations at both 3.5 GHz and 28 GHz network deployments, and shown to yield up to 25 dB suppression in radar peak sidelobe level (PSL) compared to SSB-only based range-velocity profile. Also considerable improvements in the sensing resolution in the order of 120-190% are demonstrated.

KW - 5G-Advanced

KW - 6G

KW - integrated sensing and communications

KW - network as sensor

KW - OFDM radar

KW - radar ambiquity

KW - SIB1

KW - SSB

U2 - 10.1109/VTC2023-Spring57618.2023.10200933

DO - 10.1109/VTC2023-Spring57618.2023.10200933

M3 - Conference contribution

AN - SCOPUS:85169805581

SN - 9798350311150

T3 - IEEE Vehicular Technology Conference

BT - 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings

PB - IEEE

T2 - IEEE Vehicular Technology Conference

Y2 - 20 June 2023 through 23 June 2023

ER -

Downlink Sensing in 5G-Advanced and 6G:SIB1-assisted SSB Approach

Abstract

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Conference

Keywords

Publication forum classification

ASJC Scopus subject areas

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