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Author Archives: niulab
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
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
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
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
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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热烈祝贺周盛老师荣获清华大学第十六届“良师益友”！
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参与毕业设计人员
姓名 毕业年度 毕业论文 毕业去向 宋海宁 2002.7 中国国际贸易促进委员会专利商标事务所 景 升 2004.7 基于MPLS网络的区分业务设计与仿真 MIT博士课程 郑 直 2004.7 美国Intel公司 李中阳 2004.7 胡蓝田 2004.7 P&G公司 王 浩 2005.7 基于移动IPv6技术的智能交通演示系统 UCSD美国圣地亚哥大学博士课程 吴毅弘 2006.7 针对移动汇聚节点的无线传感器网络路由协议设计与仿真 Princeton美国普林斯顿大学博士课程 郭子建 2006.7 数字广播网与移动通信网融合实验床的开发 Rice大学博士课程 陈治佳 2006.7 数字广播网与通信网融合系统中客户端及服务器软件设计 谭 博 …
Data-Driven User Complaint Prediction for Mobile Access Networks
Huimin Pan, Sheng Zhou, Yunjian Jia, Zhisheng Niu, Meng Zheng, Lu Geng, Data-Driven User Complaint Prediction for Mobile Access Networks, Journal of Communications and Information Networks, Vol.3, No.3, Sept. 2018
Optimal Sleeping Mechanism for Multiple Servers With MMPP-Based Bursty Traffic Arrival
Zhiyuan Jiang, Bhaskar Krishnamachari, Sheng Zhou, and Zhisheng Niu, Optimal Sleeping Mechanism for Multiple Servers With MMPP-Based Bursty Traffic Arrival, IEEE WIRELESS COMMUNICATIONS LETTERS, VOL. 7, NO. 3, JUNE 2018
Decentralized Status Update for Age-of-Information Optimization in Wireless Multiaccess Channels
Zhiyuan Jiang, Bhaskar Krishnamachari, Xi Zheng, Sheng Zhou, and Zhisheng Niu, Decentralized Status Update for Age-of-Information Optimization in Wireless Multiaccess Channels, IEEE ISIT 2018, Jun. 17-22, Colorado,2018
Energy-Efficient UAV Deployment with Flexible Functional Split Selection
Liumeng Wang, and Sheng Zhou, Energy-Efficient UAV Deployment with Flexible Functional Split Selection, IEEE SPAWC 2018, June 25-28, Kalamata, 2018
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Computation peer offloading for energy-constrained mobile edge computing in small-cell networks
Lixing Chen, Sheng Zhou, and Jie Xu, Computation peer offloading for energy-constrained mobile edge computing in small-cell networks, IEEE/ACM Trans. Netw., 2018, 26(4):1619-1632
Towards service-oriented 5G: Virtualizing the networks for everything-as-a-Service
Zheng Chang, Zhenyu Zhou, Sheng Zhou, Tao Chen, and Tapani Ristaniemi, Towards service-oriented 5G: Virtualizing the networks for everything-as-a-Service, IEEE Access, 2018. 6(1):1480-1489
Collaborative mobile clouds: an energy efficient paradigm for content sharing
Zheng Chang, Sheng Zhou, Tapani Ristaniemi, and Zhisheng Niu, Collaborative mobile clouds: an energy efficient paradigm for content sharing, IEEE Wireless Commun., 2018, 25(2):186-192
On the Time Scales of Energy Arrival and Channel Fading in Energy Harvesting Communications
Jie Gong, Zhenyu Zhou, and Sheng Zhou, On the Time Scales of Energy Arrival and Channel Fading in Energy Harvesting Communications, IEEE Trans. Green Commun. Networking, 2018.6, 2(2):482-492
Optimal Discrete Spatial Compression for Beamspace Massive MIMO Signals
Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu, Optimal Discrete Spatial Compression for Beamspace Massive MIMO Signals, IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 66, NO. 9, MAY 1, 2018
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Discrete Spatial Compression Beyond Beamspace Channel Sparsity Based on Branch-and-Bound
Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu, Discrete Spatial Compression Beyond Beamspace Channel Sparsity Based on Branch-and-Bound, IEEE ICC 2018, May 20-24, Kansas City, 2018
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Flexible Functional Split in C-RAN with Renewable Energy Powered Remote Radio Units
Liumeng Wang, and Sheng Zhou, Flexible Functional Split in C-RAN with Renewable Energy Powered Remote Radio Units, IEEE ICC Workshop 2018, Kansas City, May 20-24, 2018
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Learning-Based Task Offloading for Vehicular Cloud Computing Systems
Yuxuan Sun, Xueying Guo, Sheng Zhou, Zhiyuan Jiang, Xin Liu, and Zhisheng Niu, Learning-Based Task Offloading for Vehicular Cloud Computing Systems, IEEE ICC 2018, Kansas City, May 20-24, 2018
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