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On-line Access: 2025-03-07
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A unified data collection framework based on the data plane for 6G
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Yannan YUAN, Fei QIN, Jiankang LIU, Yuanyuan WANG, Jianan CAI, Xiang PAN, Dajie JIANG. A unified data collection framework based on the data plane for 6G[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(2): 293-300.
@article{title="A unified data collection framework based on the data plane for 6G",
author="Yannan YUAN, Fei QIN, Jiankang LIU, Yuanyuan WANG, Jianan CAI, Xiang PAN, Dajie JIANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="26",
number="2",
pages="293-300",
year="2025",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2400247"
}
%0 Journal Article
%T A unified data collection framework based on the data plane for 6G
%A Yannan YUAN
%A Fei QIN
%A Jiankang LIU
%A Yuanyuan WANG
%A Jianan CAI
%A Xiang PAN
%A Dajie JIANG
%J Frontiers of Information Technology & Electronic Engineering
%V 26
%N 2
%P 293-300
%@ 2095-9184
%D 2025
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2400247
TY - JOUR
T1 - A unified data collection framework based on the data plane for 6G
A1 - Yannan YUAN
A1 - Fei QIN
A1 - Jiankang LIU
A1 - Yuanyuan WANG
A1 - Jianan CAI
A1 - Xiang PAN
A1 - Dajie JIANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 26
IS - 2
SP - 293
EP - 300
%@ 2095-9184
Y1 - 2025
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2400247
Abstract: Fifth-generation wireless communication (5G) offers different data collection methods for different use cases, some of which have faced challenges due to a lack of data providers. The fragmented solutions for individual use cases have high standard overheads and can result in duplicate data collection. Moreover, existing data collection methods are not suitable for collecting a large amount of data to provide new capabilities for sixth-generation wireless communication (6G) systems, such as native artificial intelligence (AI) and sensing. In this paper we propose a unified data collection framework based on the data plane (DP) for 6G. Through the protocol stack of DP and a two-sided data collection mode, the proposed unified data collection framework is more suitable for collecting a large amount of data. The gain of DP in uplink (UL) processing delay is validated by test results based on a 6G user equipment (UE) prototype. As the data packet length increases, the advantage of the DP protocol stack on the UE UL processing delay becomes more significant. By way of rewards or data exchange, the proposed two-sided data collection mode increases the willingness of data providers to provide data. The two-sided data collection mode enables the possibility of digital twin (DT) UE. DT UE can reuse a large amount of UE in the physical network to reduce the infrastructure resource overhead incurred by the DT network and improve performance. Therefore, the unified data collection framework provides extensive data functionalities to realize the full potential of the 6G system.
[1]3GPP Technical Specification Group Radio Access Network, 2019. Study on RAN-Centric Data Collection and Utilization for LTE and NR, Release 16, Document 3GPP TR 37.816.
[2]3GPP Technical Specification Group Radio Access Network, 2021. Study on NR QoE (Quality of Experience) Management and Optimizations for Diverse Services, Release 17, Document 3GPP TR 38.890.
[3]3GPP Technical Specification Group Services and System Aspects, 2022. Management and Orchestration, 5G Perfor-mance Measurements, Release 17, Document 3GPP TS 28.552.
[4]3GPP Technical Specification Group Core Network and Terminals, 2023a. 5G System, Technical Realization of Service Based Architecture, Stage 3, Release 18, Document 3GPP TS 29.500.
[5]3GPP Technical Specification Group Core Network and Terminals, 2023b. 5G System, Network Exposure Function Northbound APIs, Stage 3, Release 18, Document 3GPP TS 29.522.
[6]3GPP Technical Specification Group Radio Access Network, 2023c. LTE Positioning Protocol (LPP), Release 17, Document 3GPP TS 37.355.
[7]3GPP Technical Specification Group Radio Access Network, 2023d. NR, Layer 2 Measurements, Release 17, Document 3GPP TS 38.314.
[8]3GPP Technical Specification Group Radio Access Network, 2023e. NG-RAN, NR Positioning Protocol A (NRPPa), Release 18, Document 3GPP TS 38.455.
[9]3GPP Technical Specification Group Radio Access Network, 2023f. Radio Measurement Collection for Minimization of Drive Tests (MDT), Overall Description, Stage 2, Release 18, Document 3GPP TS 37.320.
[10]3GPP Technical Specification Group Services and System Aspects, 2023g. Architecture Enhancements for 5G System (5GS) to Support Network Data Analytics Services, Release 18, Document 3GPP TS 23.288.
[11]3GPP Technical Specification Group Services and System Aspects, 2023h. System Architecture for the 5G System (5GS), Stage 2, Release 18, Document 3GPP TS 23.501.
[12]3GPP Technical Specification Group Radio Access Network, 2024. NR, Physical Layer Measurements, Release 18, Docu-ment 3GPP TS 38.215.
[13]Dai JC, Zhang P, Niu K, et al., 2023. Communication beyond transmitting bits: semantics-guided source and channel coding. IEEE Wirel Commun, 30(4):170-177.
[14]Deng J, Yue LX, Yang HW, et al., 2023. A digital twin network approach for 6G wireless network autonomy. Proc IEEE Int Conf on Communications Workshops, p.415-420.
[15]ITU-R, 2023. M.2160: Framework and Overall Objectives of the Future Development of IMT for 2030 and Beyond.Recommendation M.2160-0 (11/2023).
[16]Liu GY, Huang YH, Li N, et al., 2020. Vision, requirements and network architecture of 6G mobile network beyond 2030. China Commun, 17(9):92-104.
[17]Xu JL, Ai B, Wang N, et al., 2023. Deep joint source-channel coding for CSI feedback: an end-to-end approach. IEEE J Sel Areas Commun, 41(1):260-273.
[18]Zhang P, Xu WJ, Gao H, et al., 2022. Toward wisdom-evolutionary and primitive-concise 6G: a new paradigm of semantic communication networks. Engineering, 8(1):60-73.
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