Statues Update for Accurate Remote Estimation: Centralized and Decentralized Schemes

Jinzhou Sun, Yuxuan Sun, Sheng Zhou and Zhisheng Niu, Statues Update for Accurate Remote Estimation: Centralized and Decentralized Schemes, IEICE Trans. Commun., vol. E105-B, no. 2, pp. 131-139, Feb. 2022

Posted on October 8, 2022 | Tagged | Leave a comment
Coverage Analyses on Directional Transmissions Ultra-Dense Networks with Imperfect Beam Alignment

Y. Xu and S. Zhou, Coverage Analyses on Directional Transmissions Ultra-Dense Networks with Imperfect Beam Alignment, China Communications, 19(5):318-328, 2022

Posted on October 8, 2022 | Tagged | Leave a comment
Coded Computation Across Shared Heterogeneous Works With Communication Delay

Y. Sun, Fan Zhang, Junlin Zhao, S. Zhou, Z. Niu and D. Gündüz, Coded Computation Across Shared Heterogeneous Works With Communication Delay, IEEE Trans. on Signal Processing, 70: 3371-3385, 2022

Posted on October 8, 2022 | Tagged | Leave a comment
丢番图方程的解法

牛学锋

Posted on July 4, 2022 | Tagged | Leave a comment
面向’双碳’战略的绿色通信与网络:挑战与对策

牛志升, 周盛, 孙宇璇, 面向’双碳’战略的绿色通信与网络:挑战与对策, 通信学报, 2022(2):1-14

Posted on March 18, 2022 | Tagged | Leave a comment
Dynamic Scheduling for Over-the-Air Federated Edge Learning With Energy Constraints

Y. Sun, S. Zhou, Z. Niu and D. Gündüz, Dynamic Scheduling for Over-the-Air Federated Edge Learning With Energy Constraints, IEEE J. Sel. Areas Commun., 2022, 40(1):227-242

Posted on February 18, 2022 | Tagged | Leave a comment
A UoI-Optimal Policy for Timely Status Updates with Resource Constraint

Lehan Wang, Jingzhou Sun, Yuxuan Sun, Sheng Zhou, and Zhisheng Niu, A UoI-Optimal Policy for Timely Status Updates with Resource Constraint, ENREOPY, 20 August 2021, 1-21, Entropy 2021, 23(8), 1084

Posted on August 18, 2021 | Tagged | Leave a comment
AoI-Delay Tradeoff in Mobile Edge Caching With Freshness-Aware Content Refreshing

S. Zhang, L. Wang, H. Luo, X. Ma and S. Zhou, AoI-Delay Tradeoff in Mobile Edge Caching With Freshness-Aware Content Refreshing, IEEE Trans. Wireless Commun., 2021, 20(8):5329-5342

Posted on August 18, 2021 | Tagged | Leave a comment
SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions

Z. Jiang, Y. Liu, J. Hribar, L. A. DaSilva, S. Zhou, and Z. Niu, SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions, IEEE Trans. Cognitive Commun. Networking, 2021, 7(4):1430-1443.

Posted on August 17, 2021 | Tagged | Leave a comment
Coded Computation Over Heterogeneous Workers With Random Task Arrivals

Fan Zhang, Yuxuan Sun, and Sheng Zhou, Coded Computation Over Heterogeneous Workers With Random Task Arrivals, IEEE COMMUNICATIONS LETTERS, VOL.25, NO.7, JULY 2021,2338-2342

Posted on July 18, 2021 | Tagged | Leave a comment
面向6G网络的信息时效性度量及研究进展

孙径舟,王乐涵,孙宇璇,周盛,牛志升, 面向6G网络的信息时效性度量及研究进展, 电信科学(ISSN:1000-0801),出版年:2021,期:6,页码:3-13

Posted on June 18, 2021 | Tagged | Leave a comment
Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint

Tuo Liu, Sheng Zhou, Zhisheng Niu, Joint Optimization of Cache Allocation and Content Placement in Urban Vehicular Networks, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13,2018

Posted on April 30, 2021 | Tagged | Leave a comment
Error Analysis for Status Update From Sensors With Temporally and Spatially Correlated Observations

H. Zhang, Z. Jiang, S. Xu and S. Zhou, Error Analysis for Status Update From Sensors With Temporally and Spatially Correlated Observations, IEEE Transactions on Wireless Communications, 2021, 20(3): 2136-2149.

Posted on March 30, 2021 | Tagged | Leave a comment
Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-Based Algorithm

Y. Sun, S. Zhou and Z. Niu, Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-Based Algorithm, IEEE Transactions on Wireless Communications, 2021, 20(2):1138-1151.

Posted on February 23, 2021 | Tagged | Leave a comment
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

W. Shi, S. Zhou, Z. Niu, M. Jiang and L. Geng, Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning, IEEE Transactions on Wireless Communications, 2021, 20(1):453-467.

Posted on January 30, 2021 | Tagged | Leave a comment
Edge Learning with Timeliness Constraints: Challenges and Solutions

Y. Sun, W. Shi, X. Huang, S. Zhou and Z. Niu, Edge Learning with Timeliness Constraints: Challenges and Solutions, IEEE Communications Magazine, 2020, 58(12):27-33.

Posted on December 30, 2020 | Tagged | Leave a comment
Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems

X. Zheng, S. Zhou, and Z. Niu, Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems, IEEE Trans. Wireless Commun. accepted.

Posted on September 4, 2020 | Tagged | Leave a comment
Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines

X. Huang and S. Zhou, Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines, IEEE Internet of Things J., accepted.

Posted on September 4, 2020 | Tagged | Leave a comment
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.

Posted on July 4, 2020 | Tagged | Leave a comment
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.

Posted on July 4, 2020 | Tagged | Leave a comment