Author Archives: niulab

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

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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

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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

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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

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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

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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

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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

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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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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’18, Kansas City, MO, May 20-24,2018

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A 1.58 Gbps/W 0.40 Gbps/mm2 ASIC Implementation of MMSE Detection for 128 × 8 64-QAM Massive MIMO in 65 nm CMOS

Guiqiang Peng, Leibo Liu, Sheng Zhou, Shouyi Yin, and Shaojun Wei, A 1.58 Gbps/W 0.40 Gbps/mm2 ASIC Implementation of MMSE Detection for 128 × 8 64-QAM Massive MIMO in 65 nm CMOS, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS,May 2018, 65(5):1717-1730

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Joint User Scheduling and Beam Selection Optimization for Beam-Based Massive MIMO Downlinks

Zhiyuan Jiang, Sheng Chen, Sheng Zhou, and Zhisheng Niu, Joint User Scheduling and Beam Selection Optimization for Beam-Based Massive MIMO Downlinks, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 17, NO. 4, APRIL 2018

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Algorithm and Architecture of a Low-Complexity and High-Parallelism Preprocessing-Based K-Best Detector for Large-Scale MIMO Systems

Guiqiang Peng, Leibo Liu, Sheng Zhou, Yang Xue, Shouyi Yin, and Shaojun Wei, Algorithm and Architecture of a Low-Complexity and High-Parallelism Preprocessing-Based K-Best Detector for Large-Scale MIMO Systems, IEEE TRANSACTIONS ON SIGNAL PROCESSING, Apr. 2018, 66(7):1860-1875

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Task Replication for Deadline-Constrained Vehicular Cloud Computing: Optimal Policy, Performance Analysis, and Implications on Road Traffic

Zhiyuan Jiang , Sheng Zhou , Xueying Guo , and Zhisheng Niu, Task Replication for Deadline-Constrained Vehicular Cloud Computing: Optimal Policy, Performance Analysis, and Implications on Road Traffic, IEEE INTERNET OF THINGS JOURNAL, VOL. 5, NO. 1, FEBRUARY 2018

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A Block Coordinated Update Method for Beam-Based Massive MIMO Downlink Scheduling Based on Statistical CSI

Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, A Block Coordinated Update Method for Beam-Based Massive MIMO Downlink Scheduling Based on Statistical CSI, APCC 2017, Dec. 11-13, Perth, 2017

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How Often Should CSI be Updated for Massive MIMO Systems with Massive Connectivity?

Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, How Often Should CSI be Updated for Massive MIMO Systems with Massive Connectivity?, IEEE GLOBECOM 2017, Dec. 4-8, Singapore, 2017

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Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network

Sheng Chen, Zhiyuan Jiang, Jingchu Liu, Rath Vannithamby, Sheng Zhou, Zhisheng Niu, Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network, IEEE GLOBECOM 2017, Dec. 4-8, Singapore, 2017

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