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Content for  TR 38.848  Word version:  18.0.0

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0  Introductionp. 5

In recent years, IoT has attracted much attention in the wireless communication world. More 'things' are expected to be interconnected for improving productivity efficiency and increasing comforts of life. Further reduction of size, complexity, and power consumption of IoT devices can enable the deployment of tens or even hundreds of billions of IoT devices for various applications and provide added value across the entire value chain. It is impossible to power all the IoT devices by battery that needs to be replaced or recharged manually, which leads to high maintenance cost, serious environmental issues, and even safety hazards for some use cases, for example, wireless sensors in electrical power, and petroleum industries.
Most of the existing wireless communication devices are powered by batteries that need to be replaced or recharged manually. The automation and digitization of various industries opens numerous new markets requiring new IoT technologies of supporting batteryless devices with no energy storage capability or devices with energy storage that do not need to be replaced or recharged manually.
An example type of application is asset identification, which presently has to resort mainly to barcodes and RFID in most industries. The main advantage of these two technologies is the ultra-low complexity and small form factor of the tags. However, the limited reading range of a few meters usually requires handheld scanning which leads to labor intensive and time-consuming operations, or RFID portals/gates which leads to costly deployments. Moreover, the lack of interference management scheme results in severe interference between RFID readers and capacity problems, especially in case of dense deployment. It is hard to support a large-scale network with seamless coverage for RFID.
In contrast, this study investigates the feasibility of a new IoT technology to open new markets within 3GPP systems, whose number of connections and/or device density can be orders of magnitude higher than existing 3GPP IoT technologies, and which can provide complexity and power consumption orders-of-magnitude lower than existing 3GPP LPWA technologies such as NB-IoT and LTE-MTC.
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1  Scopep. 6

The present document reports on the feasibility of meeting the design targets for relevant use cases of a new 3GPP IoT technology, on the basis of suitable deployment scenarios in a 3GPP system, which relies on ultra-low complexity devices with ultra-low power consumption for very-low end IoT applications. It intends to provide a clear differentiation, i.e. addressing use cases and scenarios that cannot otherwise be fulfilled based on existing 3GPP LPWA IoT technology.
In terms of energy storage, the study considers the following device characteristics:
  • Pure batteryless devices with no energy storage capability at all, and completely dependent on the availability of an external source of energy.
  • Devices with limited energy storage capability that do not need to be replaced or recharged manually.
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2  Referencesp. 6

The following documents contain provisions which, through reference in this text, constitute provisions of the present document.
  • References are either specific (identified by date of publication, edition number, version number, etc.) or non-specific.
  • For a specific reference, subsequent revisions do not apply.
  • For a non-specific reference, the latest version applies. In the case of a reference to a 3GPP document (including a GSM document), a non-specific reference implicitly refers to the latest version of that document in the same Release as the present document.
[1]
TR 21.905: "Vocabulary for 3GPP Specifications".
[2]
TR 22.840: "Study on Ambient power-enabled Internet of Things".
→ to date, still a draft
[3]
"A Battery-Free Tag for Wireless Monitoring of Heart Sounds", 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks, June 2009
[4]
"A Survey of Low-Power Transceivers and Their Applications", IEEE Circuits and Systems Magazine (Vol. 15), third quarter 2015.
[5]
[6]
Liu, V., Talla, V., & Gollakota, S. (2014). Enabling instantaneous feedback with full-duplex backscatter. Proceedings of the 20th Annual International Conference on Mobile Computing and Networking MobiCom '14.
[7]
RP-231627, "Input to Study on Ambient IoT in RAN", Ericsson, RAN#101, September 2023.
[8]
D. A. Loku Galappaththige, et. al., "Link Budget Analysis for Backscatter-Based Passive IoT", IEEE Access, vol. 10, pp. 128890-128922, 2022.
[9]
"A 2.4 GHz Interferer-Resilient Wake-Up Receiver Using A Dual-IF Multi-Stage N-Path Architecture", IEEE Journal of Solid-State Circuits (Vol. 51), Sept. 2016
[10]
"An 802.11ba-based wake-up radio receiver with Wi-Fi transceiver integration", IEEE J. Solid-State Circuits (Vol. 55), May 2020.
[11]
J. Bae and H. Yoo, "A low energy injection-locked FSK transceiver with frequency-to-amplitude conversion for body sensor applications," 2010 Symposium on VLSI Circuits, 2010, pp. 133-134, doi: 10.1109/VLSIC.2010.5560325.
[12]
K. Tang et al., "A 75.3 pJ/b Ultra-Low Power MEMS-Based FSK Transmitter in ISM-915 MHz Band for Pico-IoT Applications," 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021, pp. 1-4, doi: 10.1109/ISCAS51556.2021.9401715
[13]
M. S. Jahan, J. Langford and J. Holleman, "A low-power FSK/OOK transmitter for 915 MHz ISM band," 2015 IEEE Radio Frequency Integrated Circuits Symposium (RFIC), 2015, pp. 163-166, doi: 10.1109/RFIC.2015.7337730.
[14]
RP-222644, "Revised SID: Study on low-power Wake-up Signal and Receiver for NR", vivo, September 2022.
[15]
TR 38.869: "Study on low-power Wake-up Signal and Receiver for NR".
→ to date, still a draft
[16]
F. Amato et. al., "Tunneling RFID Tags for Long-Range and Low-Power Microwave Applications", IEEE Journal of Radio Frequency Identification, vol. 2, no. 2, pp. 93-103, June 2018.
[17]
RP-231559 "Views on Ambient IoT (Rel-18 SI)", Qualcomm, RAN#101, September 2023.
[18]
RP-231598 "Discussion on Ambient IoT", Semtech (Sierra Wireless) , RAN#101, September 2023.
[19]
RP-231617 "Ambient IoT deployment feasibilities", Nokia, Nokia Shanghai Bell, RAN#101, September 2023.
[20]
RP-231627 "Input to Study on Ambient IoT in RAN", Ericsson, RAN#101, September 2023.
[21]
RP-231810 "Remaining issues on Ambient IoT SI", vivo, RAN#101, September 2023.
[22]
RP-231848 "Further consideration on ambient IoT for RAN", OPPO, RAN#101, September 2023.
[23]
RP-231915 "Further discussion on Ambient IoT in RAN", Spreadtrum Communications, RAN#101, September 2023.
[24]
RP-232284 "Feasibility analysis on coverage of A-IoT ZTE", Sanechips, RAN#101, September 2023.
[25]
RP-232408 "Discussion on Feasibility assessment and required functionalities for Ambient IoT", Huawei, HiSilicon, RAN#101, September 2023.
[26]
C. Xu et. al, "Practical Backscatter Communication Systems for Battery-Free Internet of Things: A Tutorial and Survey of Recent Research," IEEE Signal Processing Magazine, vol. 35, no. 5, pp. 16-27, Sept. 2018.
[27]
Chenyang Li , Lingfei Mo, and Dongkai Zhang, "Review on UHF RFID Localization Methods", IEEE Journal of Radio Frequency Identification, VOL. 3, NO. 4, DECEMBER 2019.
[28]
Deep Convolutional Neural Network for Passive RFID Tag Localization Via Joint RSSI and PDOA Fingerprint Features, IEEE Access (Vol. 9), Jan. 2021.
[29]
A Multi-tag Cooperative Localization Algorithm Based on Weighted Multidimensional Scaling for Passive UHF RFID, IEEE Internet of Things Journal (Vol. 6), Mar. 2019.
[30]
Lam K H, Cheung C C, Lee W C, "RSSI-based LoRa localization systems for large-scale indoor and outdoor environments", IEEE Transactions on Vehicular Technology, VOL. 68, No. 12, December 2019.
[31]
Sallouha H, Chiumento A, Pollin S, "Localization in long-range ultra-narrow band IoT networks using RSSI", 2017 IEEE International Conference on Communications (ICC), IEEE, May 2017
[32]
Xingqin Lin, Johan Bergman, Fredrik Gunnarsson, etc., "Positioning for the Internet of Things: A 3GPP Perspective", IEEE Communications Magazine, VOL. 55, NO. 12, DECEMBER 2017.
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3  Definitions of terms, symbols and abbreviationsp. 8

3.1  Termsp. 8

Void

3.2  Symbolsp. 8

Void

3.3  Abbreviationsp. 8

For the purposes of the present document, the abbreviations given in TR 21.905 and the following apply. An abbreviation defined in the present document takes precedence over the definition of the same abbreviation, if any, in TR 21.905.
ASK
Amplitude-shift keying
DO
Device-originated
DT
Device-terminated
DO-A
Device-originated - autonomous
DO-DTT
Device-originated - device-terminated triggered
EPC
Electronic product code
FSK
Frequency-shift keying
IoT
Internet of Things
LPWA
Low-power, wide-area
LTE-MTC
Long Term Evolution - Machine Type Communication
NB-IoT
Narrowband IoT
OOK
On-off keying
RFID
Radio-frequency identification
rUC
representative Use Case
UHF
Ultra-high frequency
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