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
Timely Status Update Based on Urgency of Information with Statistical Context

L. Wang, J. Sun, S. Zhou and Z. Niu, Timely Status Update Based on Urgency of Information with Statistical Context, 2020 32nd International Teletraffic Congress (ITC 32), 2020.

Posted on September 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
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning

R. Jiang and S. Zhou, Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning, 2020 IEEE/CIC International Conference on Communications in China (ICCC), 2020.

Posted on August 30, 2020 | Tagged | Leave a comment
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.

Posted on July 7, 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
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.

Posted on June 7, 2020 | Tagged | Leave a comment
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.

Posted on June 7, 2020 | Tagged | Leave a comment
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.

Posted on June 7, 2020 | Tagged | Leave a comment
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.

Posted on May 7, 2020 | Tagged | Leave a comment
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.

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

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

Posted on March 7, 2020 | Tagged | Leave a comment
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.

Posted on March 7, 2020 | Tagged | Leave a comment
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.

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

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

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

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