By year
Copyright Notice
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.
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.
Energy- and Area-Efficient Recursive-Conjugate-Gradient-Based MMSE Detector for Massive MIMO Systems
L. Liu, G. Peng, P. Wang, S. Zhou, Q. Wei, S. Yin, and S. Wei, Energy- and Area-Efficient Recursive-Conjugate-Gradient-Based MMSE Detector for Massive MIMO Systems, IEEE Trans. Signal Proc., 2020, 68:573 - 588.
Radio Resource Allocation for Bidirectional Offloading in Space-Air-Ground Integrated Vehicular Network
Guangchao Wang, Sheng Zhou, and Zhisheng Niu, Radio Resource Allocation for Bidirectional Offloading in Space-Air-Ground Integrated Vehicular Network, Journal of Communications and Information Networks, Vol: 4 No: 4 pp: 24-31, Dec. 2019
Age of Information and Delay Tradeoff with Freshness-Aware Mobile Edge Cache Update
S. Zhang, L. Wang, H. Luo, X. Ma and S. Zhou, Age of Information and Delay Tradeoff with Freshness-Aware Mobile Edge Cache Update, IEEE Globecom’19, Waikoloa, HI, USA, Dec. 9-13, 2019