《ZTE Communications》
2021—2022年文章列表(参考文献格式)
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2021年
第1期:
Special Topic: Energy Consumption Challenges and
Prospects on B5G Communication Systems
[1] X. H. Ge and
Y. Yang, “Editorial: special topic on energy consumption challenges and
prospects on B5G communication systems,” ZTE Communications, vol. 19, no. 1,
pp. 1–1, Mar. 2020. doi: 10.12142/ZTECOM.202101001.
[2] J. K. Zhu
and M. Zhao, “Saving energy for wireless transmission: an important revelation
from Shannon formula,”
ZTE
Communications, vol. 19, no. 1, pp. 02–10, Mar.
2021. doi: 10.12142/ZTECOM.202101002.
[3] H. Ji, T.
X. Zhang, K. Zhang, et al. “Efficient network slicing with dynamic resource
allocation,” ZTE Communications, vol. 19, no. 1, pp. 11–19, Mar. 2021. doi:
10.12142/ZTECOM. 202101003.
[4] Z. Liu,
Y. Gao, D. P. Li, et al.,“Enabling energy efficiency in 5G network,” ZTE Communications, vol. 19, no. 1, pp.
20–29, Mar. 2021. doi: 10.12142/ZTECOM.202101004.
[5] X. H.
Lin, J. Zhang, and Q. Li, “Cluster head selection algorithm for UAV assisted
clustered IoT network utilizing
blockchain,” ZTE Communications, vol. 19, no. 1, pp.
30–38, Mar. 2021. doi: 10.12142/ZTECOM.202101005.
[6] H. C. Wu,
H. J. Li, and X. F. Tao,“Green air-ground integrated heterogeneous network in
6G era,” ZTE Communications, vol. 19,
no. 1, pp. 39–47, Mar. 2021. doi: 10.12142/ZTECOM.202101006.
[7] J. R.
Liang, X. Li, and H. L. Yang, “Kinetic energy harvesting toward battery-free
IoT: fundamentals, co-design
necessity and
prospects,” ZTE Communications, vol.
19, no. 1, pp. 48–60, Mar. 2021. doi: 10.12142/ZTECOM.202101007.
Review
[8] F. Zhu, “Next
generation semantic and spatial joint perception—neural metric-semantic
understanding,” ZTE
Communications,
vol. 19, no. 1, pp. 61–71, Mar. 2021. doi: 10.12142/ZTECOM. 202101008.
Research
Paper
[9] J. H.
Cao, X. F. Mao, D. F. Li, et al.,“Integrating coarse granularity part-level
features with supervised global-level features for person
re-identification,”ZTE Communications, vol. 19, no. 1, pp. 72–81, Mar. 2021.
doi: 10.12142/ZTECOM.202101009.
[10] M. Lian,
R. T. Gu, Y. F. Ji, et al.,“Adaptability analysis of fluctuating traffic for IP
switching and optical switching,”ZTE Communications, vol. 19, no. 1, pp. 82–90,
Mar. 2021. doi: 10.12142/ZTECOM.202101010.
第2期:
Special Topic:
Edge Intelligence for Internet of Things
[1] C. Liu,
“Editorial: special topic on edge intelligence for Internet of Things,” ZTE Communications, vol. 19, no. 2, pp.
01–01, Jun. 2021. doi: 10.12142/ZTECOM.202102001.
[2] S. N. Han, X.
H. Li, C. Sun, et al. “RecCac: recommendation-empowered cooperative edge
caching for Internet of Things,” ZTE Communications, vol. 19, no. 2, pp.
02–10, Jun. 2021. doi: 10.12142/ZTECOM.202102002.
[3] K. Y.
Zhao, B. Gao and Z. Zhou. “Cost-effective task scheduling for collaborative
cross-edge analytics,” ZTE
Communications, vol. 19, no. 2, pp. 11–19, Jun. 2021. doi:
10.12142/ZTECOM.202102003.
[4] J. Y. Liu,
Y. J. Yang, and E. Wang. “BPPF: bilateral privacy-preserving framework for
mobile crowdsensing,”
ZTE Communications,
vol. 19, no. 2, pp. 20–28, Jun. 2021. doi: 10.12142/ZTECOM.202102004.
[5] K. H. Lou, Y.
J. Yang, F. N. Yang, et al., “Maximum-profit advertising strategy using
crowdsensing trajectory data,” ZTE Communications, vol. 19, no. 2, pp.
29–43, Jun. 2021. doi: 10.12142/ZTECOM.202102005.
[6] Z. S. Tian,
C. L. Ye, G. Z. Zhang, et al., “Speed estimation using commercial Wi-Fi device
in smart home,” ZTE
Communications, vol. 19, no. 2, pp. 44–52, Jun. 2021. doi:
10.12142/ZTECOM.202102006.
Review
[7] J. Tan, X. B.
Sha, B. Dai, et al., “Analysis of industrial Internet of Things and digital
twins,” ZTE Communications, vol. 19, no. 2, pp. 53–60, Jun. 2021. doi:
10.12142/ZTECOM.202102007.
Research
Paper
[8] W. L. Zhang
and L. Q. Yuan, “Higher speed passive optical networks for low latency
services,” ZTE Communications, vol. 19, no. 2, pp. 61–66, Jun. 2021. doi:
10.12142/ZTECOM.202102008.
[9] T. zhao, H.
Li, C. Yang, et al., “Differentially authorized deduplication system based on
blockchain,” ZTE Communications, vol. 19, no. 2, pp. 67–76, Jun. 2021. doi:
10.12142/ZTECOM.202102009.
[10] X. H. Wei,
X. F. Chen, W. H. Chen, et al.“A novel de-embedding technique of packaged GaN
transistors,” ZTE
Communications, vol. 19, no. 2, pp. 77–81, Jun. 2021. doi:
10.12142/ZTECOM.202102010.
[11] K. Xiao, X.
Liu, X. H. Han, et al. “Flexible multiplexing mechanism for coexistence of
URLLC and eMBB services in 5G networks,” ZTE
Communications, vol. 19, no. 2, pp. 82–90, Jun. 2021. doi: 10.12142/ZTECOM.
202102011.
第3期:
Special Topic:
Wireless Intelligence for Behavior Sensing and Recognition
[1] J. H. Ma and
B. Guo, “Editorial: special topic on wireless intelligence for behavior sensing
and recognition,” ZTE Communications,
vol. 19, no. 3, pp. 01–02, Sept. 2021. doi: 10.12142/ZTECOM.202103001.
[2] C. Qiu, T.
Dai, B. Guo, et al.,“HiddenTag: enabling person identification without privacy
exposure,” ZTE Communications, vol. 19, no. 3, pp. 03–12, Sept. 2021. doi:
10.12142/ZTECOM.202103002.
[3] J. Y. Wu,
C. Y. Wang, and L. Xie,“Device-free in-air gesture recognition based on RFID
tag array,” ZTE
Communications, vol. 19, no. 3, pp. 13–21, Sept. 2021. doi:
10.12142/ZTECOM.202103003.
[4] H. P. Liu,
X. Y. Zhang, A. F. Zhou, et al., “Indoor environment and human sensing via
millimeter wave radio: a
review,” ZTE Communications, vol. 19, no. 3, pp.
22–29, Sept. 2021. doi: 10.12142/ZTECOM.202103004.
[5] X. X. Li, Z.
T. Li, Y. Ouyang, et al.,“Using UAV to detect truth for clean data collection
in sensor-cloud systems,” ZTE
Communications, vol. 19, no. 3, pp. 30–45, Sept. 2021. doi:
10.12142/ZTECOM.202103005.
[6] W. C. Liu,
M. Q. Shen, A. D. Zhang, et al.,“Artificial intelligence rehabilitation
evaluation and training system
for degeneration
of joint disease,” ZTE Communications,
vol. 19, no. 3, pp. 46–55, Sept. 2021. doi: 10.12142/ZTECOM.202103006.
[7] H. Shao,
D. X. Xie, and Y. H. Huang,“A survey of intelligent sensing technologies in
autonomous driving,” ZTE
Communications, vol. 19, no. 3, pp. 56–63, Sept. 2021. doi:
10.12142/ZTECOM.2021030007.
Review
[8] M. Zhang, D.
P. Li, Z. Liu, et al.,“QoE management for 5G new radio,” ZTE Communications, vol. 19, no. 3, pp. 64–72, Sept. 2021. doi:
10.12142/ZTECOM.202103008.
Research
Paper
[9] H. Yang,
X. Chen, and Z. Zhou,“Super resolution sensing technique for distributed
resource monitoring on edge
clouds,” ZTE Communications, vol. 19, no. 3, pp.
73–80, Sept. 2021. doi: 10.12142/ZTECOM.202103009.
[10] K. Sato and
X. B. Zhang,“Semiconductor optical amplifier and gain chip used in wavelength
tunable lasers,” ZTE Communications,
vol. 19, no. 3, pp. 81–87, Sept. 2021. doi: 10.12142/ZTECOM.202103010.
[11] J. Han, T.
Jia, Y. F. Wu, et al.,“Feedback-aware anomaly detection through logs for
large-scale software systems,” ZTE
Communications, vol. 19, no. 3, pp. 88–94, Sept. 2021. doi: 10.12142/ZTECOM.202103011.
第4期:
Special Topic:
OTFS Modulation for 6G and Future High Mobility Communications
[1] J. H. Yuan, P.
Z. Fan, B. M. Bai. et al.,“Editorial:special topic on OTFS
modulation for 6G and future high mobility communications,”ZTE
Communications,vol.
19,no. 4,pp. 1-2,Dec.
2021. doi:10.12142/ZTECOM. 202104001.
[2] Z. Q. Zhang,
H. Liu, Q. L. Wang, et al.,“A survey on low complexity detectors for OTFS
systems,”ZTE Communications, vol. 19, no. 4, pp. 03–15, Dec. 2021. doi:
10.12142/ZTECOM.202104002.
[3] A. Naikoti
and A. Chockalingam, “Signal detection and channel estimation in OTFS,” ZTE Communications,
vol. 19, no.
4, pp. 16–33, Dec. 2021. doi: 10.12142/ZTECOM.202104003.
[4] Z. D. Yuan,
F. Liu, Q. H. Guo, et al., “Message passing based detection for orthogonal time
frequency space modulation,” ZTE Communications, vol. 19, no. 4, pp.
34–44, Dec. 2021. doi: 10.12142/ZTECOM.202104004.
[5] C. Zhang, W.
Xing, J. H. Yuan, et al., “Performance of LDPC coded OTFS systems over high
mobility channels,”
ZTE Communications,
vol. 19, no. 4, pp. 45–53, Dec. 2021. doi: 10.12142/ZTECOM.202104005.
[6] M. M. Liu, S.
Y. Li, C. Q. Zhang, et al., “Coded orthogonal time frequency space modulation,” ZTE Communications, vol. 19, no. 4, pp. 54–62, Dec. 2021. doi:
10.12142/ZTECOM.202104006.
[7] Y. Y. Ma, G.
Y. Ma, N. Wang, et al., “OTFS enabled NOMA for mMTC systems over LEO
satellite,” ZTE Communications, vol. 19, no. 4, pp. 63–70, Dec. 2021. doi:
10.12142/ZTECOM.202104007.
[8] D. Wang, F.
G. Wang, X. R. Li, et al., “Orthogonal time frequency space modulation in
multiple-antenna systems,” ZTE Communications, vol. 19, no. 4, pp.
71–78, Dec. 2021. doi: 10.12142/ZTECOM.202104008.
Review
[9] X. C. Yan, H.
Y. Teng, L. Ping, et al., “Study on security of 5G and satellite converged
communication network,” ZTE Communications, vol. 19, no. 4, pp.
79–89, Dec. 2021. doi: 10.12142/ZTECOM.202104009.
Research
Paper
[10] H. Y. He, Z.
G. Yang, and X. N. Chen, “Payload encoding representation from transformer for
encrypted traffic classification,” ZTE Communications, vol. 19, no. 4, pp.
90–97, Dec. 2021. doi: 10.12142/ZTECOM.202104010.
[11] C. C. Zhang,
N. Zhang, W. Cao, et al., “AI-based optimization of handover strategy in
non-terrestrial networks,” ZTE Communications, vol. 19, no. 4, pp.
98–104, Dec. 2021. doi: 10.12142/ZTECOM.202104011.
[12] Y. H. Ma, Z.
F. Yuan, W. M. Li, et al., “Truly grant-free technologies and protocols for
6G,”ZTE Communications, vol. 19, no. 4, pp. 105–110, Dec. 2021. doi:
10.12142/ZTECOM.202104012.
2022年
第S1期:
Research Paper
[1] L. Y.
Duan, H. L. Lu, J. J. Qi, et al., “An improved parasitic parameters extraction
method for InP HEMT,” ZTE Communications,
vol. 20, no. S1, pp. 01–06, Jan. 2022. doi: 10.12142/ZTECOM.2022S1001.
[2] Z. P.
Zhao, Y. L. Zhao, B. Y. Yan, et al., “Auxiliary fault location on commercial
equipment based on supervised machine learning,” ZTE Communications, vol. 20, no. S1, pp. 07–15, Jan. 2022. doi:
10.12142/ZTECOM.2022S1002.
[3] X. Y.
Shi, T. Z. Han, H. Tian, et al., “Design of raptor-like rate compatible SC-LDPC
codes,” ZTE Communications, vol. 20,
no. S1, pp. 16–21, Jan. 2022. doi: 10.12142/ZTECOM.2022S1003.
[4] X. Y. Yi,
J. X. Chen, P. Chen, et al., “Derivative-based envelope design technique for
wideband envelope tracking power amplifier with digital predistortion,” ZTE Communications, vol. 20, no. S1, pp.
22–26, Jan. 2022. doi: 10.12142/ZTECOM.2022S1004.
[5] D. Y. Li,
Y. F. Tu, X. S. Zhou, et al., “End-to-end Chinese entity recognition based on
BERT-BiLSTM-ATT-CRF,” ZTE Communications,
vol. 20, no. S1, pp. 27–35, Jan. 2022. doi: 10.12142/ZTECOM.2022S1005.
[6] G. T. Fan
and Z. B. Wang, “Intelligent antenna attitude parameters measurement based on
deep learning SSD model,” ZTE
Communications, vol. 20, no. S1, pp. 36–43, Jan. 2022. doi:
10.12142/ZTECOM.2022S1006.
[7] Y. J. Xu,
Q. C. Zhao, X. D. Xu, et al., “Multi-task learning with dynamic splitting for
open-set wireless signal recognition,” ZTE
Communications, vol. 19, no. 4, pp. 44–55, Jan. 2022. doi:
10.12142/ZTECOM.2022S1007.
[8] H. M. Hu,
Y. Liu, Y. Y. Ge, et al., “Multi-cell uplink interference management: A
distributed power control method,” ZTE
Communications, vol. 20, no. S1, pp. 56–63, Jan. 2022. doi:
10.12142/ZTECOM.2022S1008.
[9] Z. Y. Li,
R. Chen, X. G. Huang, et al., “SVM for constellation shaped 8QAM PON system,” ZTE Communications, vol. 20, no. S1,
pp. 64–71, Jan. 2022. doi: 10.12142/ZTECOM.2022S1009.
Review
[10] J. R.
Han and Y. Gao, “General introduction of non-terrestrial networks for new
radio,” ZTE Communications, vol. 20, no.
S1, pp. 72–78, Jan. 2022. doi: 10.12142/ZTECOM.2022S1000.
第1期:
Special Topic:
Reconfigurable Intelligent Surface (RIS)
[1] Y. F.
Yuan, S. Jin, and M. Di Renzo, “Editorial: special topic on reconfigurable
intelligent surface (RIS),” ZTE
Communications, vol. 20, no. 1, pp. 1?2, Mar. 2022. doi:
10.12142/ZTECOM.202201001.
[2] Y. F. Yuan,
Q. Gu, A. N. Wang, et al“. Recent progress in research and development of
reconfigurable intelligent surface, ” ZTE
Communications, vol. 20, no. 1, pp. 3–13, Mar. 2022. doi:
10.12142/ZTECOM.202201002.
[3] X. L.
Hou, X. Li, X. Wang, et al.,“Some observations and thoughts about
reconfigurable intelligent surface application for 5G evolution and 6G,” ZTE Communications, vol. 20, no. 1, pp.
14–20, Mar. 2022. doi: 10.12142/ZTECOM.202201003.
[4] J. W.
Tang, S. H. Xu, F. Yang, et al, “Recent developments of transmissive
reconfigurable intelligent surfaces: a review, ” ZTE Communications, vol. 20, no. 1, pp. 21–27, Mar. 2022. doi:
10.12142/ZTECOM.202201004.
[5] X. R.
Guan and Q. Q. Wu“, IRS-enabled spectrum sharing: interference modeling,
channel estimation and robust passive beamforming, ” ZTE Communications, vol. 20, no. 1, pp. 28–35, Mar. 2022. doi:
10.12142/ZTECOM.202201005.
[6] Y. J. Xu,
Z. H. Yang, C. W. Huang, et al., “Resource allocation for two-tier RIS-assisted
heterogeneous NOMA networks,” ZTE
Communications, vol. 20, no. 1, pp. 36–47, Mar. 2022. doi:
10.12142/ZTECOM.202201006.
[7] Z. C.
Shao, W. J. Yan, and X. J. Yuan,“ Markovian cascaded channel estimation for RIS
aided massive MIMO using 1-bit ADCs and oversampling,” ZTE Communications, vol. 20, no. 1, pp. 48–56, Mar. 2022. doi:
10.12142/ZTECOM.202201007.
[8] M. N.
Jian, N. Zhang, and Y. J. Chen, “RIS: spatial wideband effect analysis and off-grid
channel estimation,” ZTE Communications,
vol. 20, no. 1, pp. 57–62, Mar. 2022. doi: 10.12142/ZTECOM.202201008.
[9] M. Y.
Zhou, X. Y. Chen, W. K. Tang, et al., “Dual-polarized RIS-based STBC
transmission with polarization coupling analysis,” ZTE Communications, vol. 20, no. 1, pp. 63–75, Mar. 2022. doi:
10.12142/ZTECOM.202201009.
Research
Paper
[10] B. Yang,
C. L. Guo, and Z. Li, “Metric learning for semantic-based clothes retrieval,”ZTE Communications, vol. 20, no. 1, pp.
76–82, Mar. 2022. doi: 10.12142/ZTECOM.202201010.
第2期:
Special Topic:
Simultaneous Wireless Information and Power Transfer:
Technology and Practice
[1] Q. W.
Yuan and F.-L. Luo,“Editorial: special topic on simultaneous wireless
information and power transfer: technology and practice,” ZTE Communications, vol. 20, no. 2, pp. 1–2, Jun. 2022. doi:
10.12142/ZTECOM.202202001.
[2] B. Yang,
T. Mitani, N. Shinohara, et al., “High-power simultaneous wireless information
and power transfer: injection-locked magnetron technology,” ZTE Communications, vol. 20, no. 2, pp. 3–12, Jun. 2022. doi:
10.12142/ZTECOM.202202002.
[3] R.
Torres, D. Matos, F. Pereira, et al., “An overview of SWIPT circuits and
systems,” ZTE Communications, vol.
20, no. 2, pp. 13–18, Jun. 2022. doi: 10.12142/ZTECOM.202202003.
[4] S. Y. Sun and
G. Y. Wen, “Optimal design of wireless power transmission systems using antenna
arrays,” ZTE Communications, vol. 20,
no. 2, pp. 19–27, Jun. 2022. doi: 10.12142/ZTECOM.202202004.
[5] Q.-T.
Duong, Q.-T. Vo, T.-P. Phan, et al., “Dynamic power transmission using common
RF feeder with dual supply,” ZTE Communications, vol. 20, no. 2, pp.
28–36, Jun. 2022. doi: 10.12142/ZTECOM.202202005.
[6] J. Shen, T.
X. Zhao, and X. G. Liu, “Polarization reconfigurable patch antenna for wireless
power transfer related applications,” ZTE Communications, vol. 20, no. 2, pp. 37–42,
Jun. 2022. doi: 10.12142/ZTECOM.202202006.
[7] X. Wang,
W. B. Li, and M. Y. Lu, “A radio-frequency loop resonator for short-range
wireless power transmission,” ZTE Communications, vol. 20, no. 2, pp.
43–47, Jun. 2022. doi: 10.12142/ZTECOM.202202007.
Review
[8] M. Y.
Chang, J. Q. Han, X. J. Ma, et al., “Programmable metasurface for simultaneously
wireless information and power transfer system,” ZTE Communications, vol.
20, no. 2, pp. 48–62, Jun. 2022. doi: 10.12142/ZTECOM.202202008.
第3期:
Special
Topic: Federated Learning for IoT and Edge Computing
[1] Y. Pan, L. Z.
Cui, Z. P. Cai, and W. Li, “Editorial: special topic on federated learning for
IoT and edge computing,” ZTE
Communications, vol. 20, no. 3, pp. 1–2, Sept. 2022. doi: 10.12142/ZTECOM.202203001.
[2] Y. C.
Nan, M. H. Fang, X. J. Zou, et al., “A collaborative medical diagnosis system
without sharing patient data,” ZTE
Communications, vol. 20, no. 3, pp. 3–16, Sept. 2022. doi: 10.12142/ZTECOM.202203002.
[3] X. M.
Han, M. H. Gao, L. M. Wang, et al., “A survey of federated learning on non-IID
data,” ZTE Communications, vol. 20,
no. 3, pp. 17–26, Sept. 2022. doi: 10.12142/ZTECOM.202203003.
[4] F. Lu, L.
Gu, X. H. Tian, et al.,“Federated learning based on extremely sparse series
clinic monitoring data,” ZTE Communications,
vol. 20, no. 3, pp. 27–34, Sept. 2022. doi: 10.12142/ZTECOM.202203004.
[5] Q. B. Liu, Z.
H. Jin, J. B. Wang, et al., “MSRA-Fed: a communication-efficient federated learning
method based on model split and representation aggregate,” ZTE Communications, vol. 20, no. 3, pp. 35–42, Sept. 2022. doi:
10.12142/ZTECOM.202203005.
[6] B. Tang,
C. M. Zhang, K. W. Wang, et al., “Neursafe-FL: a reliable, efficient,
easy-to-use federated learning framework,” ZTE
Communications, vol. 20, no. 3, pp. 43–53, Sept. 2022. doi:
10.12142/ZTECOM.202203006.
Review
[7] B. L.
Yan, Q. Wu, H. Shi, et al., “Toward low-cost flexible intelligent OAM in
optical fiber communication networks,” ZTE
Communications, vol. 20, no. 3, pp. 54–60, Sept. 2022. doi:
10.12142/ZTECOM.202203007.
Research
Paper
[8] J. T. Zhang,
Z. Q. He, H. Rui, et al., “Spectrum sensing for OFDMA using multicarrier
covariance matrix aware CNN,” ZTE
Communications, vol. 20, no. 3, pp. 61–69, Sept. 2022. doi:
10.12142/ZTECOM.202203008.
[9] Q. Q. Wu, J.
Z. Chen, Z. Q. Wu, et al, “Synthesis and design of 5G duplexer based on
optimization method,” ZTE Communications,
vol. 20, no. 3, pp. 70–76, Sept. 2022. doi: 10.12142/ZTECOM.202203009.
[10] X. M.
Lyu, H. Chen, Z. Y. Wu, et al., “Alarm-based root cause analysis based on
weighted fault propagation topology for distributed information network,” ZTE Communications, vol. 20, no. 3, pp.
77–84, Sept. 2022. doi: 10.12142/ZTECOM.202203010.
[11] Q. X. Zhang,
J. Han, L. Cheng, et al., “Approach to anomaly detection in microservice system
with multi-source data streams,” ZTE
Communications, vol. 20, no. 3, pp. 85–92, Sept. 2022. doi:
10.12142/ZTECOM.202203011.
[12] Z. Q.
Cui, G. P. Wang, Z. G. Wang, et al., “Symbiotic radio systems: detection and
performance analysis,” ZTE Communications, vol. 20, no. 3, pp.
93–98, Sept. 2022. doi: 10.12142/ZTECOM.202203012.
第4期:
Special
Topic: Wireless Communication and Its Security: Challenges and Solutions
[1] K. Ren
and Z. B. Wang, “Editorial: wireless communication and its security: challenges
and solutions,” ZTE Communications, vol. 20, no. 4, pp. 1–2,
Dec. 2022. doi: 10.12142/ZTECOM.202204001.
[2] Y. F.
Cao, J. N. Cao, Y. Q. Wang, et al., “Security in edge blockchains: attacks and
countermeasures,” ZTE Communications, vol. 20, no. 4, pp.
3–14, Dec. 2022. doi: 10.12142/ZTECOM.202204002.
[3] Z. Tong,
B. W. Deng, L. L. Zheng, et al., “Utility-improved key-value data collection
with local differential privacy for mobile devices,” ZTE Communications, vol. 20, no. 4, pp. 15–21, Dec. 2022. doi:
10.12142/ZTECOM.202204003.
[4] H. T. Lu,
X. C. Yan, Q. Zhou, et al., “Key intrinsic security technologies in 6G
networks,” ZTE Communications, vol. 20,
no. 4, pp. 22–31, Dec. 2022. doi: 10.12142/ZTECOM.202204004.
[5] P. F.
Wang, W. Song, G. Sun, et al., “Air-ground integrated low-energy federated
learning for secure 6G communications,” ZTE
Communications, vol. 20, no. 4, pp. 32–40, Dec. 2022. doi:
10.12142/ZTECOM.202204005.
[6] M. He, X.
M. Li, and J. B. Ni, “Physical layer security for mmwave communications:
challenges and solutions,” ZTE Communications, vol. 20, no. 4, pp.
41–51, Dec. 2022. doi: 10.12142/ZTECOM.202204006.
Review
[7] X. Y.
Duan, H. H. Kang, and J. J. Zhang, “Autonomous network technology innovation in
digital and intelligent era,” ZTE
Communications, vol. 20, no. 4, pp. 52–61, Dec. 2022. doi:
10.12142/ZTECOM.202204007.
Research
Paper
[8] X. B.
Ran, Z. J. Dai, K. Zhong, et al., “Broadband sequential load-modulated balanced
amplifier using coupler-PA codesign approach,” ZTE Communications, vol. 20, no. 4, pp. 62–68, Dec. 2022. doi:
10.12142/ZTECOM.202204008.
[9] H. N.
Jia, Z. Q. He, W. L. Tan, et al., “Distributed multi-cell multi-user miso
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