[1] |
3GPP. EUTRAN Overall Description: TS 36.300 f.5.0[S]. 2019
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[2] |
3GPP. NR and NG-RAN Overall Description: TS 38.300 f.5.0[S]. 2019
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[3] |
3GPP. Revised WID on New Radio Access Technology: RP-172109[S]. 2017
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[4] |
3GPP. Study on RAN-Centric Data Collection and Utilization for LTE and NR: RP-182105[S]. 2018
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[5] |
3GPP. Study on RAN-Centric Data Collection and Utilization for LTE and NR: TR37.816[S]. 2019
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[6] |
3GPP. New WID on Support of SON and MDT for NR: RP-191594[S]. 2019
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[7] |
3GPP. Minimization of Drive Tests (MDT): TS 37.320[S]. 2019
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[8] |
GAO Y, HAN J R, LIU Z , et al. General Architecture of Centralized Unit and Distributed Unit for New Radio[J]. ZTE Communications, 2018, 16(2): 23-31. DOI: 10.3969/j.issn.1673-5188.2018.02.005
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HUANG H, LIU Y, LIU Z , et al. Mechanism of Fast Data Retransmission in CU-DU Split Architecture of 5G NR[J]. ZTE Communications, 2018, 16(3): 40-44. DOI: 10.19729/j.cnki.1673-5188.2018.03.007
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3GPP. Discussion on Mobility Robustness Optimization in 5G System: R3-190289[S]. 2019
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[11] |
3GPP. SN Change Failure in Case of MR-DC: R3-192255[S]. 2019
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[12] |
3GPP. Discussion on Mobility Robustness Optimization in 5G system: R3-193186[S]. 2019
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[13] |
3GPP. TP for Load Balancing for SON in NR (Solution Description): R3-192259[S]. 2019
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[14] |
3GPP. TP for Load Management: R3-193188[S]. 2019
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[15] |
3GPP. Trace Control and Configuration Management: TS 32.422 b.7.0[S]. 2019
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[16] |
3GPP. Trace Concepts and Requirement: TS 32.421 b.7.0[S]. 2019
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[17] |
3GPP. Energy Saving in NR: R3-191829[S]. 2019
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[18] |
3GPP. Consideration on Inter-RAT Energy Saving R3-191453:[S]. 2019
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[19] |
3GPP. PCI Selection Solution for NR: R3-192321[S]. 2019
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[20] |
3GPP. TP to 37.816 for PCI Selection for NR: R3-193247[S]. 2019
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[21] |
3GPP. TP to TR38.716 on Coverage and Capacity Optimization Solution for NR: R3-193246[S]. 2019
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[22] |
3GPP. Study on Enhancement of Ultra-Reliable Low-Latency Communication (URLLC) Support in the 5G Core Network: TR 23.725[S]. 2019
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[23] |
3GPP. 5G Performance Measurement: TR 28.552[S]. 2019
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[24] |
3GPP. LS on QoS Monitoring SA2: R3-192499[S]. 2019
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[25] |
3GPP. Initial Consideration on RAN-Centric Data Collection and Utilization for LTE and NR: R3-185578[S]. 2018
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[26] |
3GPP. RAN3 Impact to Support URLLC QoS Monitoring: R3-191476[S]. 2019
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[27] |
3GPP. Reply LS on Support URLLC QoS Monitoring: R3-191477[S]. 2019
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[28] |
3GPP. Discussion on QoS Monitoring for URLLC: R3-191770[S]. 2019
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[29] |
3GPP. TP for NG-U Delay Measurement for QoS Monitoring: R3-192592[S]. 2019
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3GPP. Discussion on QoS Monitoring for URLLC: R3-193051[S]. 2019
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O’SHEA T J, HOYDIS J . An Introduction to Machine Learning Communications Systems [DB/OL]. ( 2017-02-02).
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FU Y, WANG S, WANG C-X , et al. Artificial Intelligence to Manage Network Traffic of 5G Wireless Networks[J]. IEEE Network, 2018,32(6):58-64. DOI: 10.1109/MNET.2018.1800115
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LI R P, ZHAO Z F, ZHOU X , et al. Intelligent 5G: When Cellular Networks Meet Artificial Intelligence[J]. IEEE Wireless Communications, 2017,24(5):175-183. DOI: 10.1109/MWC.2017.1600304WC
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PéREZ-ROMERO J, SALLENT O, FERRúS R , et al. Knowledge-Based 5G Radio Access Network Planning and Optimization [C]//International Symposium on Wireless Communication Systems (ISWCS). Poznan, Poland, 2016. DOI: 10.1109/ISWCS.2016.7600929
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ZHANG Y, SHENG M, LI J D , Big Data-Driven“Artificial Intelligence”Wire-less Network[J]. ZTE Technology Journal, 2018,24(2):0-5. DOI: 10.3969/j.issn.1009-6868.2018.02.001
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3GPP. Smart Grid Method for SON: R3-191455[S]. 2019
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