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Author Archives: niulab
Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint
J. Sun, Z. Jiang, S. Zhou, and Z. Niu, Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint, IEEE INFOCOM’20 AoI Workshop, July 2020.
SENATE: A Permissionless Byzantine Consensus Protocol in Wireless Networks for Real-Time Internet-of-Things Applications
Z. Jiang, Z. Cao, B. Krishnamachari, S. Zhou, and Z. Niu, SENATE: A Permissionless Byzantine Consensus Protocol in Wireless Networks for Real-Time Internet-of-Things Applications, IEEE Internet of Things J., 2020, 7(7):6576-6588.
SFC-Based Service Provisioning for Reconfigurable Space-Air-Ground Integrated Networks
G. Wang, S. Zhou, S. Zhang, Z. Niu, and S. Shen, SFC-Based Service Provisioning for Reconfigurable Space-Air-Ground Integrated Networks, IEEE J. Sel. Areas Commun., 2020, 38(7):1478-1489.
Adaptive Transmission for Edge Learning via Training Loss Estimation
X. Huang and S. Zhou, Adaptive Transmission for Edge Learning via Training Loss Estimation, IEEE ICC’20, Jun. 2020.
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
Y. Sun, S. Zhou, and D. Gunduz, Energy-Aware Analog Aggregation for Federated Learning with Redundant Data, IEEE ICC’20, Jun. 2020.
Device Scheduling with Fast Convergence for Wireless Federated Learning
W. Shi, S. Zhou, and Z. Niu, Device Scheduling with Fast Convergence for Wireless Federated Learning, IEEE ICC’20, Jun. 2020.
Latency Guaranteed Edge Inference via Dynamic Compression Ratio Selection
X. Huang and S. Zhou, Latency Guaranteed Edge Inference via Dynamic Compression Ratio Selection, IEEE WCNC’20, May 2020.
Energy-optimal and delay-bounded computation offloading in mobile edge computing with heterogeneous clouds
T. Zhao, S. Zhou, L. Song, Z. Jiang, X. Guo, and Z. Niu, Energy-optimal and delay-bounded computation offloading in mobile edge computing with heterogeneous clouds, China Communications, 2020, 17(5):191-210.
王乐涵(Wang, Lehan)
联系方式 电子邮件：wang-lh19@mails.tsinghua.edu.cn 工作电话：(010)62794328 个人简介：王乐涵，湖北武汉人，2015年毕业于湖北省华中师范大学第一附属中学，同年考入电子科技大学信息与通信工程学院，现保送为牛志升老师的直博研究生。
曾启程(Zeng, Qicheng)
联系方式 电子邮件：zengqc19@mails.tsinghua.edu.cn 工作电话：(010)62794328 个人简介：曾启程，江西吉安人。2015年毕业于江西省新干中学，同年考入清华大学电子工程系，现保送为周盛老师的直博研究生。
Fractional Dynamic Caching: A Collaborative Design of Storage and Backhaul
L. Wang and S. Zhou, Fractional Dynamic Caching: A Collaborative Design of Storage and Backhaul, IEEE Trans. Veh. Technol., 2020, 69(4):4194-4206.
A Deep Reinforcement Learning Framework to Combat Dynamic Blockage in mmWave V2X Networks
S. Chen, K. Vu, S. Zhou, Z. Niu, M. Bennis, M. Latva-aho, A Deep Reinforcement Learning Framework to Combat Dynamic Blockage in mmWave V2X Networks, 6G Summit 2020, Mar. 2020.
Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
X. Zheng, S. Zhou, and Z. Niu, Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems, 6G Summit 2020, Mar. 2020.
Closed-Form Whittle's Index-Enabled Random Access for Timely Status Update
J. Sun, Z. Jiang, B. Krishnamachari, S. Zhou, and Z. Niu, Closed-Form Whittle's Index-Enabled Random Access for Timely Status Update, IEEE Trans. Commun., 2020,68(3):1538-1551.
Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks
L. Wang and S. Zhou, Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks, IEEE Trans. Wireless Commun., 2020, 19(3):1535-1548.
On the Coverage and Capacity of Ultra-Dense Networks With Directional Transmissions
Y. Xu and S. Zhou, and W. Zhang, On the Coverage and Capacity of Ultra-Dense Networks With Directional Transmissions, IEEE Wireless Commun. Letters, 2020, 9(3):271-275.
Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
R. Deng, S. Chen, S. Zhou, Z. Niu, and W. Zhang, Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications, IEEE Commun. Letters, 2020, 24(3):639-643.
AI-Assisted Low Information Latency Wireless Networking
Z. Jiang, S. Fu, S. Zhou, Z. Niu, S. Zhang, and S. Xu, AI-Assisted Low Information Latency Wireless Networking, IEEE Wireless Commun., 2020, 27(1):108-115.
Near-Optimal MIMO-SCMA Uplink Detection with Low-Complexity Expectation Propagation
P. Wang, L. Liu, S. Zhou, G. Peng, S. Yin, and S. Wei, Near-Optimal MIMO-SCMA Uplink Detection with Low-Complexity Expectation Propagation, IEEE Trans. Wireless Commun., 2020, 19(2):1025-1037.
A 2.92-Gb/s/W and 0.43-Gb/s/MG Flexible and Scalable CGRA-Based Baseband Processor for Massive MIMO Detection
G. Peng, L. Liu, S. Zhou, Q. Wei, S. Yin, and S. Wei, A 2.92-Gb/s/W and 0.43-Gb/s/MG Flexible and Scalable CGRA-Based Baseband Processor for Massive MIMO Detection, IEEE Journal of Solid State Circuits, 2020, 55(2):505-519.