Distributed Policy Learning Based Random Access for Diversified QoS Requirements

Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Distributed Policy Learning Based Random Access for Diversified QoS Requirements, IEEE International Conference on Communications (ICC),Shanghai, China,MAY 20-24, 2019

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Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks

Sheng Zhou, Yuxuan Sun, Zhiyuan Jiang, Zhisheng Niu, Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks, IEEE COMMUNICATIONS MAGAZINE, Vol: 57 No: 5 pp: 49-55, MAY 2019

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A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks

Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks, IEEE Conference on Computer Communications (IEEE INFOCOM), Paris, FRANCE, APR 29-MAY 02, 2019

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Only Those Requested Count: Proactive Scheduling Policies for Minimizing Effective Age-of-Information

Bo Yin, Shuai Zhang, Yu Cheng, Lin X. Cai, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Only Those Requested Count: Proactive Scheduling Policies for Minimizing Effective Age-of-Information, IEEE Conference on Computer Communications (IEEE INFOCOM), Paris, FRANCE, APR 29-MAY 02, 2019

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Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy

Jingzhou Sun, Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy, IEEE INFOCOM’19 Workshop, Paris, APR 29-MAY 02,2019

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Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning

Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, and Lu Gengm, Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning, IEEE INFOCOM’19 Workshop, Paris, France, APR 29-MAY 02,2019

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Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems

Yuxuan Sun, Xueying Guo, Jinhui Song, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu, Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, Vol: 68 No: 4 pp: 3061-3074, APR 2019

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Bidirectional mission offloading for agile space-air-ground integrated networks

Sheng Zhou, Guangchao Wang, Shan Zhang, Zhisheng Niu, and Xuemin Shen, Bidirectional mission offloading for agile space-air-ground integrated networks, IEEE WIRELESS COMMUNICATIONS, Vol: 26 No: 2 pp: 38-45, APR 2019

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Timely Status Update in Wireless Uplinks: Analytical Solutions With Asymptotic Optimality

Zhiyuan Jiang, Bhaskar Krishnamachari, Xi Zheng, Sheng Zhou, Zhisheng Niu, Timely Status Update in Wireless Uplinks: Analytical Solutions With Asymptotic Optimality, IEEE INTERNET OF THINGS JOURNAL, Vol: 6 No: 2 pp: 3885-3898, APR 2019

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Security Analysis of Mobile Device-to-Device Network Applications

Kecheng Liu, Wenlong Shen, Yu Cheng, Lin X. Cai, Qing Li, Sheng Zhou, Zhisheng Niu, Security Analysis of Mobile Device-to-Device Network Applications, IEEE INTERNET OF THINGS JOURNAL, Vol: 6 No: 2 pp: 2922-2932, APR 2019

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Exploiting wireless channel state information structures beyond linear correlations: A deep learning approach

Zhiyuan Jiang, Sheng Chen, A. F. Molisch, R. Vannithamby, Sheng Zhou, and Zhisheng Niu, Exploiting wireless channel state information structures beyond linear correlations: A deep learning approach, IEEE COMMUNICATIONS MAGAZINE, Vol: 57 No: 3 pp: 28-34, MAR 2019

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Joint Optimization of Cache Allocation and Content Placement in Urban Vehicular Networks

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

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Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach

Yuxuan Sun, Jinhui Song, Sheng Zhou, Xueying Guo, and Zhisheng Niu, Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13,2018

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A Two-Step Learning and Interpolation Method for Location-based Channel Database Construction

Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, Shuguang Cuiy, and Zhisheng Niu, A Two-Step Learning and Interpolation Method for Location-based Channel Database Construction, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13,2018

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Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation

Zhiyuan Jiang, Ziyan He, Sheng Chen, Andreas F. Molisch,Sheng Zhou, and Zhisheng Niu, Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13,2018

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Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing

Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu, Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13,2018

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DeepNap: Data-Driven Base Station Sleeping Operations through Deep Reinforcement Learning

Jingchu Liu, Bhaskar Krishnamachari, Sheng Zhou, and Zhisheng Niu, DeepNap: Data-Driven Base Station Sleeping Operations through Deep Reinforcement Learning, IEEE Internet Things J., Vol. 5, No.6, Dec.2018: 4273-4282

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Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?

Zhiyuan Jiang, Bhaskar Krishnamachari, Sheng Zhou, and Zhisheng Niu, Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?, ITC 2018, Vienna, Sep. 3-7,2018

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Time-sequence channel inference for beam alignment in vehicular networks

Sheng Chen, Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu, Time-sequence channel inference for beam alignment in vehicular networks, IEEE GlobalSIP’18, Anaheim, Nov.,26-29,2018

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Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach

Guangchao Wang, Sheng Zhou, and Zhisheng Niu, Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach, IEEE WCSP’18 Hangzhou, Oct. 2018

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