《ZTE Communications》
2023—2024年文章列表（参考文献格式）
（按Ctrl并单击可链接原文）
2023年
第1期：
Special Topic: Federated Learning over Wireless Networks
[1] S. G.
Cui, C. C. Yin, and G. X. Zhu, “Editorial: federated learning over wireless networks,”
ZTE Communications, vol. 21, no.
1, pp. 1–2, Mar. 2023. doi: 10.12142/ZTECOM.202301001.
[2] X. Y. Xu,
S. L. Liu, and G. D. Yu, “Adaptive retransmission design for wireless federated
edge learning,” ZTE Communications,
vol. 21, no. 1, pp. 3–14, Mar. 2023. doi: 10.12142/ZTECOM.202301002.
[3] W. T.
Zhang, H. T. Liang, Y. H. Xu, et al., “Reliable and privacy-preserving federated learning with anomalous users,” ZTE Communications, vol. 21, no. 1,
pp. 15–24, Mar. 2023. doi: 10.12142/ZTECOM.202301003.
[4] Y. J.
Wang, D. Z. Wen, Y. J. Mao, et al., “RIS-assisted federated learning in
multi-cell wireless networks,” ZTE Communications,
vol. 21, no. 1, pp. 25–37, Mar. 2022. doi: 10.12142/ZTECOM.202301004.
[5] J. T.
Yan, T. Chen, B. W. Xie, et al., “Hierarchical
federated learning: architecture, challenges, and its implementation in
vehicular networks,” ZTE Communications,
vol. 21, no. 1, pp. 38–45, Mar. 2022. doi: 10.12142/ZTECOM.202301005.
[6] Y. H.
Ding, M. Shikh-Bahaei, Z. H. Yang, et al., “Secure federated learning over
wireless communication networks with
model compression,” ZTE Communications,
vol. 21, no. 1, pp. 46–54, Mar. 2022. doi: 10.12142/ZTECOM.202301006
Research
Paper
[7] R. Huang,
H. L. Li, and Y. M. Zhang, “Efficient bandwidth allocation and computation
configuration in industrial IoT,” ZTE Communications, vol. 21, no. 1,
pp. 55–63, Mar. 20223. doi: 10.12142/ZTECOM.202301007.
[8] J. G. Lu and Q. F. Zheng,
“Ultra-lightweight face animation method for ultra-low bitrate video
conferencing,” ZTE Communications,
vol. 21, no. 1, pp. 64–71, Mar. 2022. doi: 10.12142/ZTECOM.202301008.
[9] W. B.
Cai, S. L. Yang, G. Sun, et al., “Adaptive load balancing for parameter servers
in distributed machine learning over
heterogeneous networks,” ZTE
Communications, vol. 21, no. 1, pp. 72–80, Mar. 2023. doi:
10.12142/ZTECOM.202301009.
[10] P. Lu,
B. Sheng, and W. Z. Shi, “Scene visual perception and AR navigation
applications,” ZTE Communications, vol. 21, no. 1, pp. 81–88, Mar.
2023. doi: 10.12142/ZTECOM.202301010.
[11] Y. F. Tu, B. H. Zhu, H. Z. Yang, et al., “RCache: a read-intensive workload-aware page cache for NVM
filesystem,” ZTE Communications, vol.
21, no. 1, pp. 89–94, Mar. 2023. doi: 10.12142/ZTECOM.202301011.
第2期：
Special Topic: Evolution of AI Enabled Wireless Networks
[1] L. Wang
and Y. Gao, “Editorial: evolution of AI enabled wireless networks,” ZTE Communications, vol. 21, no. 2, pp.
1–2, Jun. 2023. doi: 10.12142/ZTECOM.202302001.
[2] B. Yang,
X. Liang, S. N. Liu, et al., “Intelligent 6G wireless network with
multi-dimensional information perception,” ZTE
Communications, vol. 21, no. 2, pp. 3–10, Jun. 2023. doi:
10.12142/ZTECOM.202302002.
[3] L. T.
Deng and Y. R. Zhao, “Deep learning-based semantic feature extraction: a
literature review and future directions,” ZTE Communications,
vol. 21, no. 2, pp. 11–17, Jun. 2023. doi: 10.12142/ZTECOM.202302003.
[4] Y. N.
Yan, Y. Liu, T. Ni, et al., “Content popularity prediction via federated
learning in cache-enabled wireless networks,” ZTE Communications,
vol. 21, no. 2, pp. 18–24, Jun. 2023. doi: 10.12142/ZTECOM.202302004.
[5] M. K.
Zhao, Y. S. Huang, and X. Li, “Federated learning for 6G: a survey from
perspective of integrated sensing, communication and computation,” ZTE Communications, vol. 21, no. 2, pp.
25–33, Jun. 2023. doi: 10.12142/ZTECOM.202302005.
[6] J. J.
Chen, Y. Gao, Z. Liu, et al.,“Future vision on artificial intelligence assisted
green energy efficiency network,” ZTE Communications, vol. 21, no. 2, pp.
34–39, Jun. 2023. doi: 10.12142/ZTECOM.202302006.
[7] U. Awada,
J. K. Zhang, S. Chen, et al.,“Machine learning driven latency optimization for
Internet of Things applications in edge computing,” ZTE Communications, vol. 21, no. 2, pp. 40–52, Jun 2022. doi:
10.12142/ZTECOM.202302007.
[8] F. Meng, Y. M. Huang, Z. H. Lu, et
al.,“Multi-user mmWave beam tracking via multi-agent deep Q-learning,” ZTE Communications, vol. 21, no. 2, pp.
53–60, Jun. 2023. doi: 10.12142/ZTECOM.202302008.
[9] Q. You,
Q. Xu, X. Yang, et al., “RIS-assisted UAV-D2D communications exploiting deep
reinforcement learning,” ZTE Communications, vol. 21, no. 2, pp.
61–69, Jun. 2023. doi: 10.12142/ZTECOM.202302009.
[10] C. Y.
Liu, J. J. Guo, Y. M. Zhang, et al., “SST-V: a scalable semantic transmission
framework for video,” ZTE Communications, vol. 21, no. 2, pp. 70–79, Mar. 2023. doi: 10.12142/ZTECOM.202302010.
[11] Y. T. Li, Y. Ding, J. C. Gao, et al.,“UAV autonomous navigation
for wireless powered data collection with onboard deep Q-Network,” ZTE Communications, vol. 21, no. 2, pp.
80–87, Jun. 2023. doi: 10.12142/ZTECOM.202302011.
Review
[12] J. X.
Chen, P. G. Zhou, J. Y. Yu, et al., “Research towards terahertz power
amplifiers in silicon-based process,” ZTE Communications, vol. 21, no. 2, pp.
88–94, Jun. 2023. doi: 10.12142/ZTECOM.202302012.
第3期：
Special Topic: Reinforcement Learning and Intelligent Decision
[1] Y. Gao, “Special topic on reinforcement learning and intelligent decision,” ZTE Communications, vol. 21, no. 3, pp.
01–02, Sept. 2023. doi:
10.12142/ZTECOM.202303001.
[2] M. Ren,
R. Y. Xu, and T. Zhu“, Double deep Q-network decoder based on EEG
brain-computer interface,” ZTE Communications, vol. 21, no. 3, pp.
03–10, Sept. 2023. doi: 10.12142/ZTECOM.202303002.
[3] B. Y.
Feng, M. X. Feng, M. R. Wang, et al., “Multi-agent hierarchical graph attention
reinforcement learning for grid-aware energy management,” ZTE Communications, vol. 21, no. 3, pp. 11–21, Sept. 2023. doi:
10.12142/ZTECOM.202303003.
[4] J. P. Yu
and Y. Y. Chen, “A practical reinforcement learning framework for automatic
radar detection,” ZTE Communications, vol. 21, no. 3, pp.
22–28, Sept. 2023. doi: 10.12142/ZTECOM.202303004.
[5] J. H.
Shen, K. Jiang, and X. Y. Tan,“ Boundary data augmentation for offline
reinforcement learning,” ZTE Communications, vol. 21, no. 3, pp.
29–36, Sept. 2023. doi: 10.12142/ZTECOM.202303005.
Research Papers
[6] Z. H. Zhu and Y. P. Zhang,“ Differential
quasi-Yagi antenna and array,” ZTE Communications, vol. 21, no. 3, pp.
37–44, Sept. 2023. doi:
10.12142/ZTECOM.202303006.
[7] X. Y.
Xie, Y. P. Wu, Z. F. Yuan, et al.,“ Massive unsourced random access under
carrier frequency offset,” ZTE Communications,
vol. 21, no. 3, pp. 45–53, Sept. 2023. doi: 10.12142/ZTECOM.202303007.
[8] L. Cheng, S. Qin, and G. Feng,
“Learning-based admission control for low-earth-orbit satellite communication
networks,” ZTE Communications, vol. 21, no. 3, pp. 54–62, Sept. 2023. doi:
10.12142/ZTECOM.202303008.
[9] B. Zhang,
Y. H. Wang, Y. N. Feng, et al.,“ A 220-GHz frequency-division multiplexing
wireless link with high data rate,” ZTE Communications, vol. 21, no. 3, pp.
63–69, Sept. 2023. doi: 10.12142/ZTECOM.202303009.
[10] Y. H.
Ji, J. Han, Y. X. Zhao, et al.,“ Log anomaly detection through GPT-2 for large
scale systems,” ZTE Communications, vol. 21, no. 3, pp. 70–76, Sept. 2023. doi:
10.12142/ZTECOM.202303010.
[11] Y. T. Zhu, Z. Li, and H. T. Zhang, “Robust beamforming under
channel prediction errors for time-varying MIMO system,” ZTE Communications, vol.
21, no. 3, pp. 77–85, Sept. 2023. doi: 10.12142/ZTECOM.202303011.
[12] H. W.
Li, N. J. Bi, and J. Sha, “Design of raptor-like LDPC codes and high throughput
decoder towards 100 Gbit/s throughput,” ZTE Communications, vol. 21, no. 3, pp.
86–92, Sept. 2023. doi: 10.12142/ZTECOM.202303012.
[13] Y. Q.
Tang, H. M. Zhang, Z. Zheng, et al., “Hybrid architecture and beamforming
optimization for millimeter wave systems,” ZTE Communications, vol. 21, no. 3, pp.
93–104, Sept. 2023. doi: 10.12142/ZTECOM.202303013.
[14] W. Li,
J. K. Ji, Y. L. Liu, et al.,“ Simulation and modeling of common mode EMI noise
in planar transformers,” ZTE Communications, vol. 21, no. 3, pp. 105–116, Sept. 2023. doi:
10.12142/ZTECOM.202303014.
[15] J. W.
Ding, Y. Liu, H. J. Liao, et al.,“ Statistical model of path loss for railway
5G marshalling yard scenario,” ZTE Communications, vol. 21, no. 3, pp.
117–122, Sept. 2023. doi: 10.12142/ZTECOM.202303015.
第4期：
Special Topic: 3D Point Cloud Processing and Applications
[1] H. F. Sun, G. Li, S. H. Chen, et al., “Special topic
on 3D point cloud processing
and applications,” ZTE Communications, vol.21, no. 4, pp. 1–2,
Dec. 2023. doi: 10.12142/ZTECOM.202304001.
[2] Y. J.
Zhou, Z. C. Zhang, W. Sun, et al., “Perceptual quality assessment for point
clouds: a survey,” ZTE Communications, vol. 21, no. 4, pp. 3–16, Dec. 2023. doi:
10.12142/ZTECOM.202304002.
[3] H. R.
Zhang, Z. Dong, and M. S. Wang, “Spatio-temporal context-guided algorithm for
lossless point cloud geometry compression,” ZTE Communications,
vol. 21, no. 4, pp. 17–28, Dec. 2023. doi: 10.12142/ZTECOM.202304003.
[4] Q. Yin,
X. F. Zhang, H. Y. Huang, et al., “Lossy point cloud attribute compression with
subnode-based prediction,” ZTE Communications, vol. 21, no. 4, pp. 29–37, Dec. 2023. doi:
10.12142/ZTECOM.202304004.
[5] C. C.
Wang, Y. Li, B. B. Wang, et al., “Point cloud processing methods for 3D point
cloud detection tasks,” ZTE Communications, vol. 21, no. 4, pp.
38–46, Dec. 2023. doi: 10.12142/ZTECOM.202304005.
[6] Y. J. Yin, Z. Chen,“Perceptual optimization
for point-based point cloud rendering,” ZTE
Communications, vol. 21, no. 4, pp.
47–53, Dec. 2023. doi: 10.12142/ZTECOM.202304006.
[7] W. Z.
Shi, Y. B. Liu, and Q. F. Zhou, “Local scenario perception and Web AR
navigation,” ZTE Communications, vol.
21, no. 4, pp. 54–59, Dec.
2023. doi: 10.12142/ZTECOM.202304007.
Research Papers
[8] P. Y. Gong, G. D. Zhang, Z. G. Zhang, et
al., “Research on fall detection system based on commercial Wi-Fi devices,” ZTE Communications, vol. 21, no. 4, pp.
60–68, Dec. 2023. doi: 10.12142/ZTECOM.202304008.
[9] H. L.
Feng, J. Han, L. J. Huang, et al., “Incident and problem ticket clustering and
classification using deep learning,” ZTE
Communications, vol. 21, no. 4, pp. 69–77, Dec. 2023. doi:
10.12142/ZTECOM.202304009.
[10] R. H.
Tian, X. Z. Wu, W. Z. Xu, et al., “A hybrid five-level single-phase rectifier
with low common-mode voltage,” ZTE Communications,
vol. 21, no. 4, pp. 78–84, Dec. 2023. doi: 10.12142/ZTECOM.202304010.
[11] Z. A. Xiong, P. Zhao, J. Y. Fan, et al., “Mixed electric and
magnetic coupling design based on coupling matrix extraction,” ZTE Communications, vol. 21, no. 4, pp.
85–90, Dec. 2023. doi: 10.12142/ZTECOM.202304011.
[12] W. J.
Zou, C. M. Gu, J. W. Fan, et al., “Beyond video quality: evaluation of spatial
presence in 360-degree videos,” ZTE Communications,
vol. 21, no. 4, pp. 91–103, Dec. 2023. doi: 10.12142/ZTECOM.202304012.
2024年
第1期：
Special Topic: Near-Field
Communication and Sensing Towards 6G
[1] G. Wei, Y. J. Zhao, and L. Chen, “Editorial:
near?field communication and sensing towards 6G,” ZTE Communications, vol. 22, no. 1, pp. 1–2, Mar. 2024. doi: 10.12142/ZTECOM.202401001..
[2] M. Y.
Liu, Y. Zhang, Y. S. Jin, et al., “Towards near-field communications for 6G:
challenges and opportunities,” ZTE Communications,
vol. 22, no. 1, pp. 3–15, Mar. 2024. doi: 10.12142/ZTECOM.202401002.
[3] Y. B.
Yang, M. Liu, R. T. Xu, et al.,“ Link budget and enhanced communication
distance for ambient Internet of Things,” ZTE Communications, vol. 22, no. 1, pp.
16–23, Mar. 2024. doi: 10.12142/ZTECOM.202401003.
[4] Z. Z. Lu,
Y. Han, and S. Jin, “Impacts of model mismatch and array scale on channel estimation
for XL-HRIS-aided systems,” ZTE
Communications, vol. 22, no. 1, pp. 24–33, Mar. 2024. doi:
10.12142/ZTECOM.202401004.
[5] Y. Q. Sun,
M. N. Jian, J. Yang, et al.,“Degree of freedom analysis for holographic MIMO
based on a mutual coupling compliant channel model,” ZTE Communications, vol. 22, no. 1, pp. 34–40, Mar. 2024. doi: 10.12142/ZTECOM.202401005.
[6] J. Y. Shen, J. Yang, C. Zhu, et al., “Near-field beam training for
holographic MIMO communications: typical methods, challenges and future
directions,” ZTE Communications, vol.
22, no. 1, pp. 41–52, Mar. 2024. doi: 10.12142/ZTECOM.202401006.
[7] X. H. Cao, H. R. Yin, and C. S. You, “Near-field
wireless power transfer, sensing and communication with Bessel beams,” ZTE Communications, vol. 22, no. 1, pp.
53–61, Mar. 2024. doi: 10.12142/ZTECOM.202401007.
Review
[8] Q. Zhang, J. J. Mei, T. Guan, et al., “Recent
advances in video coding for machines standard and technologies,” ZTE Communications,
vol. 22, no. 1, pp. 62–76, Mar. 2024. doi: 10.12142/ZTECOM.202401008.
[9] Y. Q.
Zhao, H. Q. Ke, W. Xu, et al., “RIS-assisted cell-free MIMO: a survey,” ZTE Communications, vol. 22, no. 1, pp.
77–86, Mar.
2024. doi: 10.12142/ZTECOM.202401009..
[10] H. R.
Luo, S. S. Hu, W. Y. Wang, et al.,“Research on multi-core processor analysis for
WCET estimation,” ZTE Communications,
vol. 22, no. 1, pp. 87–94, Mar. 2024. doi: 10.12142/ZTECOM.202401010.
Research Papers
[11] Citation (Format 2): W. Li, W. Guo, and Z. D. Wang, “Filter
design of wireless base station power supply,” ZTE Communications, vol.
22, no. 1, pp. 95–105, Mar.
2024. doi: 10.12142/ZTECOM.202401011.
[12] F. Ren,
Y. D. Li, B. Ye, et al.,“Real-time 4-mode MDM transmission using commercial 400G
OTN transceivers and all fiber mode
multiplexers,” ZTE Communications,
vol. 22, no. 1, pp. 106–110, Mar. 2024. doi: 10.12142/ZTECOM.202401012.
第2期：
Special Topic: Advancements in Web3 Infrastructure for the
Metaverse
[1] V. C. M. Leung and W. Cai, “Editorial:
advancements in Web3
infrastructure for the metaverse,” ZTE
Communications, vol. 22, no.
2, pp. 1–2, Jun. 2024. doi: 10.12142/ZTECOM.202402001.
[2] J. X.
Feng, Y. Pan, and X. Wu, “Building a stronger foundation for Web3: advantages
of 5G infrastructure,” ZTE Communications, vol. 22, no. 2, pp.
3–10, Jun. 2024. doi: 10.12142/ZTECOM.202402002.
[3] R. Chen,
H. Li, W. Y. Li, et al., “MetaOracle: a high-throughput decentralized oracle
for Web3.0-empowered Metaverse,” ZTE Communications,
vol. 22, no. 2, pp. 11–18, Jun. 2024. doi: 10.12142/ZTECOM.202402003.
[4] Q. L. Ma,
S. L. Zhang, T. T. Wang, et al., “Optimization of high-concurrency conflict
issues in execute-order-validate blockchain,” ZTE Communications,
vol. 22, no. 2, pp. 19–29, Jun. 2024. doi: 10.12142/ZTECOM.202402004.
[5] Z. H. Wu,
Y. X. Hong, E. Y. Zhou, et al.,“ Utilizing certificateless cryptography for IoT
device identity authentication protocols,” ZTE Communications,
vol. 22, no. 2, pp. 30–38, Jun. 2024. doi: 10.12142/ZTECOM.202402005.
[6] C. Gu and B. C. Li, “Hierarchical federated
learning architectures for the metaverse [J]. ZTE Communications,
vol. 22, no. 2, pp. 39–48, Jun.
2024. doi: 10.12142/ZTECOM.202402006.
Review
[7] J. Gao, Y. J. Han, Y. Lin, et al., “Learned
distributed query optimizer: architecture and challenges,” ZTE Communications,
vol. 22, no. 2, pp. 49–54, Jun. 2024. doi: 10.12142/ZTECOM.202402007.
[8] Y. H. Gao, Z. Ning, J. He, et al., “Research
on multi-core processor analysis for WCET estimation,” ZTE Communications,vol. 22, no.
2, pp. 55–70, Jun. 2024. doi: 10.12142/ZTECOM.202402008.
[9] J. C. Lu,
Z. Niu, L. Chen, et al., “Deadlock detection: background, techniques, and
future improvements,” ZTE Communications,
vol. 22, no. 2, pp. 71–79, Jun. 2024. doi: 10.12142/ZTECOM.202402009..
Research
Papers
[10] S. L.
Zhu, Z. Y. Wang, Y. P. Xie, et al.,“A distributed acoustic sensing system for
vibration detection and classification in railways,” ZTE Communications,
vol. 22, no. 2, pp. 80–84, Jun. 2024. doi: 10.12142/ZTECOM.202402010.
[11] Y. H. Xiong, Z. L. Liu, L. M. Xu, et al.,“Adaptive hybrid
forward error correction coding scheme for video transmission,” ZTE Communications,
vol. 22, no. 2, pp. 85–93, Jun. 2024. doi: 10.12142/ZTECOM.202402011.
[12] J. Hu,
X. Liu, S. L. Zhu, et al., “Waveguide Bragg grating for fault localization in
PON,” ZTE Communications, vol. 22, no.2,
pp. 94–98, Jun. 2024. doi: 10.12142/ZTECOM.202402012.
[13] Y. T. Zhu, Z. Y. Xu, and H. T. Zhang, “Cooperative distributed beamforming design for multi-RIS aided cell-free systems,” ZTE
Communications,
vol. 22, no. 2, pp. 99–106, Jun. 2024. doi: 10.12142/ZTECOM.202402013.
第3期：
Special Topic: Integrated Sensing and Communication (ISAC)
Technologies for Future Wireless Communication
[1] J. H. Yuan, Z. S. Fei, and Z. Q. Wei,
“Integrated sensing and communication (ISAC) technologies for future wireless
communication,” ZTE Communications,
vol. 22, no. 3, pp. 1–3, Sept. 2024. doi:10.12142/ZTECOM.202403001.
[2] S. T.
Tian, X. Y. Wang, F. H. Xia, et al., “Kullback-Leibler divergence based ISAC
constellation and beamforming design in
the presence of clutter,” ZTE
Communications, vol. 22, no. 3, pp. 4–12, Sept. 2024. doi:
10.12142/ZTECOM.202403002.
[3] G. Y.
Chen, R. Y. Zhang, H. Ren, et al., “Joint beamforming design for dual-functional
radar-communication systems under beampattern
gain constraints,” ZTE Communications,
vol. 22, no. 3, pp. 13–20, Sept. 2024. doi: 10.12142/ZTECOM.202403003.
[4] X. H. Yu,
S. C. Yu, X. Q. Liu, et al.,“On normalized least mean square based interference
cancellation algorithm for integrated sensing and communication systems,” ZTE Communications, vol. 22, no. 3, pp.
21–28, Sept. 2024. doi: 10.12142/ZTECOM.202403004.
[5] C. Yu, B.
J. Lyu, H. Y. Qiu, et al.,“Trajectory tracking for mmWave communication systems
via cooperative passive sensing,” ZTE Communications, vol. 22, no. 3, pp.
29–36, Sept. 2024. doi: 10.12142/ZTECOM.202403005.
[6] R. L. Du, Z. Q. Wei, and Z. Yang,“Integrated
sensing and communication: who benefits more?” ZTE Communications,vol. 22, no.
3, pp. 37–47, Sept. 2024. doi: 10.12142/ZTECOM.202403006.
[7] Q. L. Dai, Z. W. Zhou, Z. Q. Xiao, et al.,“Low-complexity
integrated super-resolution sensing and communication with signal decimation and ambiguity removal,” ZTE Communications, vol. 22, no. 3, pp.
48–55, Sept. 2024. doi: 10.12142/ZTECOM.202403007.
[8] J. L. Wang, X. L. Zeng, Y. H. Yang, et
al.,“Tensor decomposition-based channel estimation and sensing for millimeterwave
MIMO-OFDM V2I systems,” ZTE
Communications, vol. 22, no. 3, pp. 56 – 68, Sept. 2024. doi: 10.12142/ZTECOM.202403008.
[9] Z. Q.
Wei, Y. J. Zhang, D. N. Ji, et al.,“Sensing and communication integrated fast
neighbor discovery for UAV networks,”ZTE
Communications, vol. 22, no. 3, pp. 69–82,
Sept. 2024. doi: 10.12142/ZTECOM.202403009.
Review
[10] Y. H.
Zhou, W. Zeng, Q. F. Zheng, et al., “A survey on task scheduling of CPU-GPU heterogeneous
cluster,” ZTE Communications, vol. 22, no. 3, pp. 83–90, Sept. 2024. doi:
10.12142/ZTECOM.202403010.
[11] P. Lu, W. Z. Shi, and X. Q. Qiao, “Multi-view
image-based 3D reconstruction in indoor scenes: a survey,” ZTE Communications, vol. 22, no. 3, pp. 91–98, Sept. 2024. doi:
10.12142/ZTECOM.202403011.
[12] Y. Gao,
J. J. Chen, and D. P. Li,“ Intelligence driven wireless networks in B5G and 6G
era: a survey,” ZTE Communications,
vol. 22, no. 3, pp. 99–105, Sept. 2024. doi: 10.12142/ZTECOM.202403012.
Research
Papers
[13] J. G.
Wang, Y. Q. Lu, L. P. Wei, et al.,“ Secure SSL/TLS communication system based
on quantum keys,” ZTE Communications, vol. 22, no. 3, pp.
106–115, Sept. 2024. doi: 10.12142/ZTECOM.202403013.
[14] C. F.
Wang, J. X. Chai, and Y. M. Xu,“ Differential spatial modulation mapping
algorithms,” ZTE Communications, vol. 22, no. 3, pp. 116–122, Sept. 2024.
doi: 10.12142/ZTECOM.202403014.
第4期：
Special
Topic: Optoelectronic Integrated Chips, Systems, and Key Technologies
[1] Y. J. Wang, “Editorial: optoelectronic integrated chips, systems, and key technologies,” ZTE Communications, vol. 22, no. 4,
pp.1–2, Dec. 2024. doi: 10.12142/ZTECOM.202404001.
[2] R. He, Q.
Hu, J. X. Ran, et al., “Monolithically integrated photonic structures for
stable on-chip solar blind communications,” ZTE Communications,
vol. 22, no. 4, pp. 3–8, Dec. 2024. doi: 10.12142/ZTECOM.202404002.
[3] J. G. Wu, J. W. Zhu, X. K. Xiong, et
al., “Research on high-precision stochastic computing VLSI structures for deep
neural network
accelerators,” ZTE Communications,
vol. 22, no. 4, pp. 9–17, Dec. 2024. doi: 10.12142/ZTECOM.202404003.
[4] H. Wang, M.
Q. Liu, Z. H. Feng, et al., “Design of LCoS-based twin 1×40 wavelength selective
switch,” ZTE Communications, vol. 22, no. 4, pp. 18–28, Dec. 2024. doi:
10.12142/ZTECOM.202404004.
[5] Z. Q. Gu, Z.
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