Committed to connecting the world

  •  

ITU-T work programme

[2025-2028] : [SG20] : [Q4/20]

[Declared patent(s)]  - [Associated work]

Work item: Y.DPM-Ambient-IoT
Subject/title: Functional requirements and architecture of data processing and management to support ambient power-enabled Internet of Things
Status: Under study 
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: 2028-Q3 (Medium priority)
Liaison: 3GPP RAN, 3GPP SA, ISO/IEC JTC1/SC31, GS1 EPCglobal, IEEE 802.11
Supporting members: China Unicom, Institute of Computing Technology Chinese Academy of Sciences (ICT CAS), University of Chinese Academy of Sciences (UCAS), Beijing University of Posts and Telecommunications (BUPT), China Mobile, China Telecom
Summary: An ambient power-enabled Internet of Things (IoT) device is an IoT device powered by energy harvesting, being either battery-less or equipped with limited energy storage capability [3GPP TR 22.840]. By relying on energy harvested from ambient sources, the ambient power-enabled IoT enables the development of lower-cost, smaller, and maintenance-free devices. This allows IoT deployments to become highly scalable and environmentally sustainable [Y.Ambient-IoT]. However, the unique characteristics of the ambient power-enabled IoT reveal the limitations of conventional data processing and management (DPM) approaches. Specifically, they are challenged by: 1) Severe energy limitations that restrict continuous operation and complex on-device processing; 2) Unpredictable data intermittency caused by frequent power-off and recharge cycles; 3) Strict energy-data dependency, where the timing, volume, and quality of data acquisition are directly dictated by the real-time availability of harvested energy. Based on the foundational DPM framework [ITU-T Y.4602], this draft Recommendation will specify an enhanced DPM functional architecture tailored for the ambient power-enabled IoT. It extends conventional DPM capabilities to support energy-aware data acquisition and edge-assisted data reconstruction, effectively addressing the challenges of unpredictable energy harvesting status and inherent data quality degradation.
Comment: -
Reference(s):
  Historic references:
-
Contact(s):
Chen CHENG, Editor
Xinzhou CHENG, Editor
Yuhui HAN, Editor
Dongliang WANG, Editor
Tianyi WANG, Editor
ITU-T A.5 justification(s):
Generate A.5 drat TD
-
[Submit new A.5 justification ]
See guidelines for creating & submitting ITU-T A.5 justifications
First registration in the WP: 2026-05-27 13:50:30
Last update: 2026-06-16 16:38:47