1 |
IMT-2030 (6G) Promotion Group. 6G overall vision and potential key technologies white paper [R]. 2021
|
2 |
IMT-2030 (6G) Promotion Group. 6G network architecture vision and key technology outlook white paper [R]. 2021
|
3 |
YLIANTTILA M, KANTOLA R, GURTOV A, et al. 6G white paper: research challenges for trust, security and privacy. University of Oulu: 6G Research Visions, No.9 [R]. 2020
|
4 |
China Center for Information Industry Development Think Tank. 6G concept and vision white paper [R]. 2020
|
5 |
Datang Mobile Communication Equipment Co., Ltd. Global coverage and intelligent connection of scenarios: 6G vision and technology trends white paper [R]. 2020
|
6 |
China Mobile Communications Corporation Research Institute. White Paper: 2030+ vision and requirements [R]. 2020
|
7 |
VIVO Communication Research Institute. 6G vision, needs, and challenges [R]. 2020
|
8 |
DE LIMA C, BELOT D, BERKVENS R, et al. 6G white paper on localization and sensing. University of Oulu: 6G Research Visions, No.12 [R]. 2020
|
9 |
YOU X H, WANG C X, HUANG J, et al. Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts [J]. Science China information sciences, 2021, 64(1): 110301. DOI: 10.1007/s11432-020-2955-6
DOI
|
10 |
Samsung. 6G: the next hyper-connected experience for all [R]. 2020
|
11 |
VISWANATHAN H, MOGENSEN P E. Communications in the 6G era [J]. IEEE access, 2020, 8: 57063–57074. DOI: 10.1109/access.2020.2981745
DOI
|
12 |
UNISOC. 6G: boundless, but with artificial intelligence [R]. 2020
|
13 |
IOWN. Innovative optical and wireless network global forum vision 2030 and technical directions [R]. 2020
|
14 |
Alliance Next G. Next G alliance report: roadmap to 6G [R]. 2022
|
15 |
Hexa-X. Initial 6G architectural components and enablers [R]. 2021
|
16 |
3GPP TSG RAN1#110bis-e. Evaluation on AI/ML for CSI feedback enhancement: R1-2208769 [R]. China Telecom, 2022
|
17 |
3GPP TSG RAN1#110bis-e. Evaluation on AI/ML for beam management: R1-2208771 [R]. China Telecom, 2022
|
18 |
3GPP TSG RAN1#110 bis-e. Evaluation on AI/ML for positioning accuracy enhancement: R1-2206689 [R]. China Telecom, 2022
|
19 |
YOU X H, WANG C X, HUANG J, et al. White paper: 6G wireless network: vision, enabling technology and new application paradigm [R]. 2020
|
20 |
YANG F Y, LIU Y, YANG B. Some thoughts on 6G networks [J]. ZTE technology journal, 2021, 27(2): 2–5. DOI: 10.12142/ZTETJ.202102002
DOI
|
21 |
YANG B, XU Y Q, SHE X M, et al. Reinforcement learning based dynamic resource allocation for massive MTC in sliced mobile networks [C]//14th International Conference on Advanced Infocomm Technology (ICAIT). IEEE, 2022: 298–303. DOI: 10.1109/ICAIT56197.2022.9862802
DOI
|
22 |
YANG B, LI Q Y, SHE X M, et al. Intelligent dynamic resource allocation for network slicing based on actor-critic algorithm [C]//14th International Conference on Advanced Infocomm Technology (ICAIT). IEEE, 2022: 334–340. DOI: 10.1109/ICAIT56197.2022.9862788
DOI
|
23 |
YANG B, WEI F S, SHE X M, et al. Intelligent random access for massive-machine type communications in sliced mobile networks [J]. Electronics, 2023, 12(2): 329. DOI: 10.3390/electronics12020329
DOI
|
24 |
YANG H L, ALPHONES A, XIONG Z H, et al. Artificial-intelligence-enabled intelligent 6G networks [J]. IEEE network, 2020, 34(6): 272–280. DOI: 10.1109/MNET.011.2000195
DOI
|
25 |
WU Q, CHEN X, ZHOU Z, et al. Deep reinforcement learning with spatio-temporal traffic forecasting for data-driven base station sleep control [J]. IEEE/ACM transactions on networking, 2021, 29(2): 935–948. DOI: 10.1109/TNET.2021.3053771
DOI
|