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Sheng Zhou – Publications

My Google Scholar Page.

Books

通信网理论基础 (清华大学出版社)

牛志升，周盛

Learning-based VANET Communication and Security Techniques (Springer)

Liang Xiao, Weihua Zhuang, Sheng Zhou, Cailian Chen

Energy Harvesting Wireless Communications (Wiley)

Chuan Huang, Sheng Zhou, Jie Xu, Zhisheng Niu, Rui Zhang, and Shuguang Cui

Wireless Traffic Steering for Green Cellular Networks (Springer)

Shang Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, and Xuemin(Sherman) Shen

Radio Resource Management Using Geometric Water-Filling (Springer)

Peter He, Lian Zhao, Sheng Zhou, and Zhisheng Niu

Book Chapters

Timely Wireless Edge Inference

Sheng Zhou, Wenqi Shi, Xiufeng Huang, and Zhisheng Niu
as a book chapter in Machine Learning and Wireless Communications published by Cambridge Press (edited by Y. C. Eldaer, A. Goldsmith, D. Gunduz, and H. V. Poor)

Greening 6G: New Horizons

Zhisheng Niu, Sheng Zhou, and Noel Crespi
as a book chapter in Shaping Future 6G Networks: Needs, Impacts, and Technologies published by Wiley (edited by E. Bertin, N. Crespi, and T. Magedanz)

Deep Learning-Based Coverage and Capacity Optimization

Andrei Marinescu, Zhiyuan Jiang, Sheng Zhou, Luiz A DaSilva, Zhisheng Niu
as a book chapter in Machine Learning for Future Wireless Communications published by Wiley (edited by Fa-Long Luo)

Toward Green Deployment and Operation for C-RANs

Sheng Zhou, Jingchu Liu, Tao Zhao and Zhisheng Niu
as a book chapter in Cloud Radio Access Networks: Principles, Technology and Applications published by Cambridge (edited by T. Q. S. Quek, M. Peng, O. Simone, and W. Yu)

Energy-efficient Operations and Management for Mobile Networks

Zhisheng Niu and Sheng Zhou
as a book chapter in Green Communicaitions: Principles, Concepts and Practice published by Wiley (edited by L. Samdanis, P. Rost, A. Maeder, M. Meo and C. Verikoukis)

Recently Accepted Conference Papers

  1. M. D. Thao Chan, Z. Nan, Y. Jia, S. Zhou, and Z. Niu, ‘‘RSU-Aided Energy-Efficient Collaborative Perception for Connected Autonomous Vehicles," IEEE WCNC’24, Apr. 2024.

  2. J. Yan, Z. Nan, and S. Zhou, ‘‘CPU-Utilization-Aware Scheduling for In-Vehicle Distributed Computing," IEEE WCNC’24, Apr. 2024.

  3. T. Liang, Z. Yu, T. Zhang, S. Zhou, W. Liu, L. Dong, and Z. Niu, ‘‘Joint Frame Structure and Beamwidth Optimization for Integrated Localization and Communication," IEEE WCNC’24, Apr. 2024.

  4. H. Wu, Y. Jia, S. Zhou, and Z. Niu, ‘‘NI-MAC: MAC Protocol Design for Neural Interfaces," IEEE Healthcom’23, Dec. 2023.

  5. H. Wu, Y. Jia, S. Zhou, and Z. Niu, ‘‘Random Access Protocol Design and Analysis for Neural Interfaces Under Non-Saturated Regime," IEEE VTC’23 Fall, Oct. 2023.

  6. R. Mao, J. Guo, Y. Jia, J. Dong, Y. Sun, S. Zhou, and Z. Niu, ‘‘MoRFF: Multi-View Object Detection for Connected Autonomous Driving under Communication and Localization Limitations," VTC’23 Fall, Oct. 2023.

  7. T. Chen, J. Yan, Y. Sun, S. Zhou, D. Gunduz, and Z. Niu, ‘‘Data-Heterogeneous Hierarchical Federated Learning with Mobility," ITC’23, Oct. 2023.

  8. J. Yan, Z. Nan, and S. Zhou, ‘‘V2V-Assisted Timely Hierarchical Federated Learning," IEEE SPAWC’23, Sep. 2023.

Journal Papers

Submitted

  1. Y. Xu, S. Zhou, and Z. Niu, ‘‘SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services," submitted.

  2. T. Chen, J. Yan, Y. Sun, S. Zhou, D. Gunduz, and Z. Niu,‘‘Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks," submitted.

  3. L. Wang, J. Sun, Y. Sun, S. Zhou, and Z. Niu, ‘‘Grouping-based Scheduling for Collaborative Perception Systems under Hard Age of Information Constraints," IEEE Trans. Information Theory, under revision.

  4. Q. Zeng, Z. Nan, and S. Zhou, ‘‘Adaptive Privacy-Preserving Coded Computing With Hierarchical Task Partitioning," IEEE Trans. Signal Proc., under revision.

  5. S. Zhou, Y. Jia, R. Mao, Y. Sun, and Z. Niu, ‘‘Collaborative Perception Oriented Wireless Communications for Intelligent Unmanned Systems," IEEE Networks, under revision.

2024

  1. Y. Xu and S. Zhou, ‘‘Resource Allocation for Channel Estimation in Reconfigurable Intelligent Surface-Aided Multi-Cell Networks," Journal of Communications and Information Networks, accepted.

  2. B. Xie, S. Chen, S. Zhou, Z. Niu, B. Galkin, I. Dusparic, ‘‘Learning-assisted User Scheduling and Beamforming for mmWave Vehicular Networks," IEEE Trans. Veh. Technol., accepted.

  3. X. Huang and S. Zhou, ‘‘QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning," IEEE Trans. Mobile Computing, accepted.

2023

  1. 毛瑞清, 贾宇宽, 孙宇璇, 周盛, 牛志升, ‘‘定位与通信受限的网联协同感知算法," 模式识别与人工智能, 2023, 36(11):1019-1028.

  2. J. Sun, L. Wang, Z. Nan, Y. Sun, S. Zhou, Z. Niu, ‘‘Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update," IEEE Journal on Selected Areas in Information Theory, 2023, 4:624-638.

  3. Q. Zeng, Z. Nan, and S. Zhou, ‘‘Delay Optimization of Coded Computing With Hierarchical Task Partitioning," IEEE Commun. Letters, 2023, 27(11):2899-2903.

  4. Y. Jia, R. Mao, Y. Sun, S. Zhou, and Z. Niu, ‘‘MASS: Mobility-Aware Sensor Scheduling of Cooperative Perception for Connected Automated Driving," IEEE Trans. Veh. Technol., 2023, 72(11):14962-14977.

  5. Z. Nan, S. Zhou, Y. Jia, and Z. Niu, ‘‘Joint Task Offloading and Resource Allocation for Vehicular Edge Computing with Result Feedback Delay," IEEE Trans. Wireless Commun., 2023, 22(7):6547-6561.

  6. T. Zhao, S. Zhou, Y. Sun, and Z. Niu, ‘‘A Predictive Frame Transmission Scheme for Cloud Gaming in Mobile Edge Cloudlet Systems," IEEE Trans. Mobile Computing, 2023, 22(7):3774-3789.

  7. F. Peng, Z. Jiang, S. Zhou, Z. Niu, and S. Zhang, ‘‘Sensing and Communication Co-Design for Status Update in Multiaccess Wireless Networks," IEEE Trans. Mobile Computing, 2023, 22(3): 1779-1792.

  8. J. Yan, T. Chen, B. Xie, Y. Sun, S. Zhou, and Z. Niu, ‘‘Hierarchical Federated Learning: Architecture, Challenges, and its Implementation in Vehicular Networks," ZTE Communications, 2023, 21(1):38-45.

  9. Y. Sun, B. Xie, S. Zhou, Z. Niu, ‘‘MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks," IEEE Commun. Mag., 2023, 61(1):64-70.

2022

  1. X. Huang and S. Zhou, ‘‘Importance-Aware Data Pre-Processing and Device Scheduling for Multi-Channel Edge Learning," Journal of Communications and Information Networks, 2022, 7(4):394-407.

  2. W. Shi, S. Zhou, Z. Niu, M. Jiang, and L. Geng, ‘‘Multiuser Co-inference with Batch Processing Capable Edge Server," IEEE Trans. Wireless Commun., 2022, 22(12):286-300.

  3. Y. Sun, F. Zhang, J. Zhao, S. Zhou, Z. Niu, and D. Gündüz, ‘‘Coded Computation across Shared Heterogeneous Workers with Communication Delay," IEEE Trans. Signal Proc., 2022, 70:3371-3385.

  4. J. Hribar, L. A., DaSilva, S. Zhou, Z. Jiang, and I. Dusparic, ‘‘Timely and Sustainable: Utilising Correlation in Status Updates of Battery-Powered and Energy-Harvesting Sensors Using Deep Reinforcement Learning," Computer Communications, 2022, 192:223-233.

  5. Y. Xu and S. Zhou, ‘‘Coverage Analyses on Directional Transmissions Ultra-Dense Networks with Imperfect Beam Alignment," China Communications, 2022, 19(5):318-328.

  6. 牛志升, 周盛, 孙宇璇, ‘‘面向’双碳’战略的绿色通信与网络：挑战与对策," 通信学报, 2022(2):1-14.

  7. J. Sun, Y. Sun, S. Zhou, and Z. Niu, ‘‘Status update for accurate remote estimation: centralized and decentralized schemes," IEICE Trans. Commun., 105(2), 131-139.

  8. Y. Sun, S. Zhou, Z. Niu and D. Gündüz, ‘‘Dynamic Scheduling for Over-the-Air Federated Edge Learning With Energy Constraints," IEEE J. Sel. Areas Commun., 2022, 40(1):227-242.

2021

  1. Z. Jiang, Y. Liu, J. Hribar, L. A. DaSilva, S. Zhou, and Z. Niu, ‘‘SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions," IEEE Trans. Cognitive Commun. Networking, 2021, 7(4):1430-1443.

  2. L. Wang, J. Sun, Y. Sun, S. Zhou, and Z. Niu, ‘‘A UoI-Optimal Policy for Timely Status Updates with Resource Constraint," Entropy, 2021, 23(8).

  3. F. Zhang, S. Zhou, and Y. Sun, ‘‘Coded Computation over Heterogeneous Workers with Random Task Arrivals," IEEE Commun. Letters, 2021, 25(7):2338-2342.

  4. 孙径舟, 王乐涵, 孙宇璇, 周盛, 牛志升, ‘‘面向6G网络的信息时效性度量及研究进展," 电信科学, 2021(6):3-13.

  5. S. Zhang, L. Wang, H. Luo, X. Ma and S. Zhou, ‘‘AoI-Delay Tradeoff in Mobile Edge Caching With Freshness-Aware Content Refreshing," IEEE Trans. Wireless Commun., 2021, 20(8):5329-5342.

  6. J. Sun, L. Wang, Z. Jiang, S. Zhou, and Z. Niu, ‘‘Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint," IEEE J. Sel. Areas Commun., 2021, 39(5):1485-1498.

  7. H. Zhang, Z. Jiang, S. Xu, and S. Zhou, ‘‘Error Analysis for Status Update from Sensors with Temporally and Spatially Correlated Observations," IEEE Trans. Wireless Commun., 2021, 20(3):2136-2149.

  8. Y. Sun, S. Zhou, and Z. Niu, ‘‘Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm," IEEE Trans. Wireless Commun., 2021, 20(2):1138-1151.

  9. W. Shi, S. Zhou, and Z. Niu, ‘‘Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning," IEEE Trans. Wireless Commun., 2021, 20(1):453 - 467.

2020

  1. Y. Sun, W. Shi, X. Huang, S. Zhou, and Z. Niu, ‘‘Edge Learning with Timeliness Constraints: Challenges and Solutions," IEEE Commun. Mag., 2020, 58:(12):27-33.

  2. X. Zheng, S. Zhou, and Z. Niu, ‘‘Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems," IEEE Trans. Wireless Commun., 2020, 19:(11):7237-7250.

  3. X. Huang and S. Zhou, ‘‘Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines," IEEE Internet of Things J., 2020, 7:(9):8800-8810.

  4. T. Zhao, S. Zhou, L. Song, Z. Jiang, X. Guo, and Z. Niu, ‘‘Energy-optimal computation offloading with delay constraints in mobile edge computing systems with heterogeneous clouds," China Communications, 2020, 17(5):191-210.

  5. 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.

  6. 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

  7. L. Wang and S. Zhou, ‘‘Dynamic Caching: A Collaborative Design of Storage and Backhaul," IEEE Trans. Veh. Technol., 2020, 69(4):4194-4206.

  8. 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.

  9. 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.

  10. Y. Xu and S. Zhou, ‘‘On the Coverage and Capacity of Ultra-Dense Networks with Directional Transmissions," IEEE Wireless Commun. Letters, 2020, 9(3):271-275.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

2019

  1. G. Wang, S. Zhou, and Z. Niu. ‘‘Radio Resource Allocation for Bidirectional Offloading in Space-Air-Ground Integrated Vehicular Network," Journal of Communications and Information Networks, 2019, 4(4):24-31.

  2. X. Zheng, S. Zhou, Z. Jiang, and Z. Niu, ‘‘Closed-Form Analysis of Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter," IEEE Trans. Wireless Commun., 2019, 18(8):4129-4142.

  3. S. Chen, Z. Jiang, S. Zhou, Z. Niu, Z. He, A. Marinescu, L. DaSilva, ‘‘Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study," IEEE Trans. Wireless Commun., 2019, 18(7):3554-3568.

  4. R. Deng, Z. Jiang, S. Zhou, and Z. Niu, ‘‘Intermittent CSI update for massive MIMO systems with heterogeneous user mobility," IEEE Trans. Commun., 2019, 67(7):4811-4824.

  5. S. Zhou, Y. Sun, Z. Jiang, and Z. Niu, ‘‘Exploiting moving intelligence: Delay-optimized computation offloading in vehicular fog networks," IEEE Commun. Mag., 2019, 57(5):49-55.

  6. Z. Jiang, B. Krishnamachari, X. Zheng, S. Zhou, and Z. Niu, ‘‘Timely Status Update in Wireless Uplinks: Analytical Solutions with Asymptotic Optimality," IEEE Internet of Things J., 2019, 6(2):3885-3898.

  7. K. Liu, W. Shen, Y. Cheng, L. Cai, Q. Li, S. Zhou, and Z. Niu, ‘‘Security Analysis of Mobile Device-to-Device Network Applications," Internet of Things J., 2019, 6(2):2922-2932.

  8. L. Liu, Y. Cheng, X. Cao, S. Zhou, Z. Niu, and P. Wang, ‘‘Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition," IEEE Trans. Mobile Comput., 2019, 18(7):1585-1600.

  9. Y. Sun, X. Guo, J. Song, S. Zhou, Z. Jiang, X. Liu, and Z. Niu, ‘‘Adaptive learning-based task offloading for vehicular edge computing systems," IEEE Trans. Veh. Technol., 2019, 68(4):3061-3074.

  10. 曾启程, 孙宇璇, 周盛, ‘‘车辆间计算任务卸载算法与系统级仿真验证," 物联网学报, 2019,3(3):62-69.

  11. S. Zhou, G. Wang, S. Zhang, Z. Niu, and X. Shen, ‘‘BiDirectional mission offloading for agile space-air-ground integrated networks," IEEE Wireless Commun. 2019, 26(2):38-45.

  12. Z. Jiang, S. Chen, A. F. Molisch, R. Vannithamby, S. Zhou, and Z. Niu, ‘‘Exploiting wireless channel state information structures beyond linear correlations: A deep learning approach," IEEE Commun. Mag., 2019, 57(3):28-34.

2018

  1. J. Liu, B. Krishnamachari, S. Zhou, and Z. Niu, ‘‘DeepNap: Data-driven base station sleeping operations through deep reinforcement learning,” IEEE Internet Things J., 2018, 5(6):4273-4282.

  2. H. Pan, S. Zhou, Y. Jia, Z. Niu, M. Zheng, and L. Geng, ‘‘Data-driven user complaint prediction for mobile access networks," J. Communications and Information Networks., 2018, 3(3):9-19.

  3. L. Chen, S. Zhou, and J. Xu, ‘‘Computation peer offloading for energy-constrained mobile edge computing in small-cell networks," IEEE/ACM Trans. Networking, 2018, 26(4):1619-1632.

  4. Z. Jiang, B. Krishnamachari, S. Zhou, and Z. Niu, ‘‘Optimal sleeping mechanism for multiple servers with MMPP-based bursty traffic arrival," IEEE Wireless Communications Letters, 2018, 7(3):436-439.

  5. J. Gong, Z. Zhou, S. 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.

  6. G. Peng, L. Liu, S. Zhou, S. Yin, and S. Wei, ‘‘A 1.58Gbps/ W 0.40Gbps/ mm^2 ASIC implementation of MMSE detection for 128X8 64-QAM massive MIMO in 65 nm CMOS,” IEEE Trans. Circuits and Systems I: Regular Papers. 2018.5, 65(5):1717-1730.

  7. Z. Jiang, S. Zhou, and Z. Niu, ‘‘Optimal discrete spatial compression for beamspace massive MIMO signals," IEEE Trans. Signal Processing, 2018.5, 66(9):2480-2493.

  8. Z. Jiang, S. Chen, S. Zhou, Z. Niu, ‘‘Joint user scheduling and beam selection optimization for beam-based massive MIMO downlinks," IEEE Trans. Wireless Communications, 2018.4, 17(4):2190-2204.

  9. Z. Chang, S. Zhou, T. Ristaniemi, and Z. Niu, ‘‘Collaborative mobile clouds: an energy efficient paradigm for content sharing," IEEE Wireless Communications, 2018.4, 25(2):186-192.

  10. Z. Chang, Z. Zhou, S. Zhou, T. Chen, and T. Ristaniemi, ‘‘Towards service-oriented 5G: Virtualizing the networks for everything-as-a-Service,” IEEE Access, 2018. 6(1):1480-1489.

  11. Z. Jiang, S. Zhou, X. Guo, and Z. Niu, ‘‘Task replication for deadline-constrained vehicular cloud computing: optimal policy, performance analysis and implications on road traffic," IEEE Internet Things J., 2018.2, 5(1):93-107.

  12. G. Peng, L. Liu, S. Zhou, Y. Xue, S. Yin, and S. Wei, ‘‘Algorithm and architecture of a low-complexity and high-parallelism preprocessing-based K-best detector for large-scale MIMO systems," IEEE Trans. Signal Processing, 2018.1, 66(7):1860-1875.

2017

  1. Y. Sun, S. Zhou, and J. Xu, ‘‘EMM: Energy-aware mobility management for mobile edge computing in ultra dense networks,” IEEE J. Sel. Areas Commun. Special Issue on Emerging Technologies in Software-driven Communication, 2017.11, 35(11):2637-2646.

  2. S. Zhang, N. Zhang, S. Zhou, J. Gong, Z. Niu, and X. Shen, ‘‘Energy-sustainable traffic steering for 5G mobile networks,” IEEE Commun. Mag., 2017, 55(11):54-60.

  3. S. Zhou, S. Zhang, and Z. Niu, ‘‘Energy efficient network planning and dynamic control for hyper-cellular network,” Sci Sin Inform, 2017, doi:10.1360/N112017-00032. (in Chinese).

  4. Z. Jiang, S. Zhou, R. Deng, Z. Niu, and S. Cao, ‘‘Pilot-data superposition for beam-based FDD massive MIMO downlinks,” IEEE Communications Letters, 2017, 21(6):1357-1360.

  5. L. Wang and S. Zhou, ‘‘On the fronthaul statistical multiplexing gain,” IEEE Communications Letters, 2017, 21(5):1089-7798.

  6. Z. Zhou, C. Sun, R. Shi, Z. Chang, S. Zhou, and Y. Li, ‘‘Robust energy scheduling in vehicle-to-grid networks,” IEEE Network, 2017, 31(2):30-37.

  7. J. Gong, S. Zhou, Z. Zhou, and Z. Niu, ‘‘Policy optimization for content push via energy harvesting small cells in heterogeneous networks,” IEEE Trans. Wireless Commun., 2017, 16(2):717-729.

2016

  1. W. Guo, S. Zhou, Y. Chen, X. Chu, S. Wang, and Z. Niu, ‘‘Simultaneous information and energy flow for IoT relay systems with crowd harvesting,” IEEE Commun. Mag., 2016, 54(11):143-149.

  2. Y. Jia, Y. Zhang, L. Liang, W. Xu, and S. Zhou, ‘‘Impact of mobile instant messaging applications on signaling load and UE energy consumption,” Wireless Networks, Oct. 2016.

  3. J. Liu, S. Zhou, J. Gong, Z. Niu, S. Xu,‘‘Statistical multiplexing gain analysis of heterogeneous virtual base station pools in cloud radio access networks,” IEEE Trans. Wireless Commun., 2016, 15(8):5681-5694.

  4. J. Gong, S. Zhou, and Z. Zhou, ‘‘Networked MIMO with fractional joint transmission in energy harvesting systems,” IEEE Trans. Commun., 2016, 64(8):3323-3336.

  5. X. Guo, Z. Niu, S. Zhou, and P. R. Kumar, ‘‘Delay-constrained energy-optimal base station sleeping control,” IEEE J. Sel. Areas Commun., 2016, 34(5):1073-1085.

  6. S. Zhang, N. Zhang, S. Zhou, J. Gong, Z. Niu, and X. Shen, ‘‘Energy-aware traffic offloading for green heterogeneous networks,” IEEE J. Sel. Areas Commun., 2016, 34(5):1116-1129.

  7. J. Wu, Y. Bao, G. Miao, S. Zhou, and Z. Niu, ‘‘Base-station sleeping control and power matching for energy-delay tradeoffs with bursty traffic,” IEEE Trans. Vehicular Tech., 2016, 65(5):3657-3675.

  8. S. Zhou, T. Zhao, Z. Niu, and S. Zhou, ‘‘Software-defined hyper-cellular architecture for green and elastic wireless access,” IEEE Commun. Mag., 2016, 54(1):12-19.

2015

  1. J. Liu, S. Xu, S. Zhou, and Z. Niu, ‘‘Redesigning fronthaul for next-generation networks: beyond baseband samples and point-to-point links,” IEEE Wireless Communications., 2015, 22(5):90-97.

  2. S. Zhang, J. Gong, S. Zhou, and Z. Niu, ‘‘How many small cells can be turned off via vertical offloading under a separation architecture?” IEEE Trans. Wireless Commun., 2015, 14(10):5440-5453.

  3. C. Hu, J. Gong, X. Wang, S. Zhou, and Z. Niu, ‘‘Optimal green energy utilization in MIMO systems with hybrid energy supplies,” IEEE Trans. Vehicular Tech., 2015, 64(8):3675-3688.

  4. S. Zhou, D. Lee, B. Leng, X. Zhou, H. Zhang, and Z. Niu, ‘‘On the spatial distribution of base stations and its relation to the traffic density in cellular networks, “ IEEE Access, 2015, 3:998-1010.

  5. Z. Jiang, S. Zhou, and Z. Niu, ‘‘Optimal antenna cluster size in cell-free distributed large-scale antenna systems with imperfect CSI and inter-cluster interference,” IEEE Trans. Vehicular Tech., 2015, 64(7):2834-2845.

  6. S. Zhou, J. Gong, Z. Zhou, W. Chen, and Z. Niu, ‘‘GreenDelivery: Proactive content caching and push with energy-harvesting-based small cells,” IEEE Commun. Mag., 2015, 53(4):142-149.

  7. Z. Niu, X. Guo, S. Zhou, and P. R. Kumar, ‘‘Characterizing energy–delay tradeoff in hyper-cellular networks with base station sleeping control,” IEEE J. Sel. Areas Commun., 2015, 33(4):641-650.

  8. S. Zhou, T. Chen, W. Chen, and Z. Niu, ‘‘Outage minimization for a fading wireless link with energy harvesting transmitter and receiver,” IEEE J. Sel. Areas Commun., 2015, 33(3):496-511.

  9. X. Wang, J. Gong, C. Hu, S. Zhou, and Z. Niu, ‘‘Optimal power allocation on discrete energy harvesting model,“ EURASIP J. Wireless Commun. Netw., Mar. 2015, 2015:48

2014

  1. Z. Jiang, S. Zhou, and Z. Niu, ‘‘Dynamic channel acquisition in MU-MIMO,” IEEE Trans. Commun., 2014, 62(12):4336-4348.

  2. J. Liu, T. Zhao, S. Zhou, Y. Cheng, and Z. Niu, ‘‘CONCERT: a cloud-based architecture for next-generation cellular systems,” IEEE Wireless Commun. Mag., 2014, 21(6):14-22.

  3. J. Gong, J. Thompson, S. Zhou, and Z. Niu, ‘‘Base station sleeping and resource allocation in renewable energy powered cellular networks,” IEEE Trans. Commun., 2014, 62(11):3801-3813.

  4. P. He, L. Zhao, S. Zhou, and Z. Niu, ‘‘Recursive waterfilling for wireless links with energy harvesting transmitters,” IEEE Trans. Vehicular Tech., 2014, 63(3):1232-1241.

  5. D. Lee, S. Zhou, X. Zhong, Z. Niu, X. Zhou, and H. Zhang, ‘‘Spatial modeling of the traffic density in cellular networks,” IEEE Wireless Commun., 2014, 21(1):80-88.

2013

  1. P. He, L. Zhao, S. Zhou, and Z. Niu, ‘‘Water-filling: A geometric approach and its application to solve generalized radio resource allocation problems,” IEEE Trans. Wireless Commun., 2013, 12(12):3637-3647.

  2. D. Cao, S. Zhou, and Z. Niu. ‘‘Optimal combination of base station densities for energy-efficient two-tier heterogeneous cellular networks,” IEEE Trans. Wireless Commun., 2013, 12(9):4350-4362.

  3. J. Wu, S. Zhou, and Z. Niu, ‘‘Traffic-aware base station sleeping control and power matching for energy-delay tradeoffs in green cellular networks,” IEEE Trans. Wireless Commun., 2013, 12(8):4196-4209.

  4. D. Cao, S. Zhou, and Z. Niu, ‘‘Improving the energy efficiency of two-tier heterogeneous cellular networks through partial spectrum reuse,” IEEE Trans. Wireless Commun., 2013, 12(8): 4129-4141.

  5. S. Zhou, Z. Niu, S. Tanabe, and P. Yang, ‘‘CHORUS: framework for scalable collaboration in heterogeneous networks with cognitive synergetic,” IEEE Wireless Commun. Mag., 2013, 20(4):133-139.

  6. J. Gong, S. Zhou, and Z. Niu, ‘‘Optimal power allocation for energy harvesting and power grid coexisting wireless communication systems,” IEEE Trans. Commun., 2013, 61(7):3040-3049.

  7. S. Zhou, J. Xu, and Z. Niu, ‘‘Interference-aware relay selection scheme for two-hop relay networks with multiple source-destination pairs,” IEEE Trans. Vehicular Tech., 2013, 62(5): 2327-2338.

  8. J. Gong, S. Zhou, B. K. Lau, and Z. Niu, “On precoding for overlapped clustering in a measured urban macrocellular environment,” Science China: Information Sciences, 2013, 56(2).

2012 and Earlier

  1. J. Gong, S. Zhou, and Z. Niu, “A novel precoding scheme for dynamic base station cooperation with overlapped clusters,” IEICE Trans. Commun., 2013, E96-B(2):656-659.

  2. S. Zhou, J. Gong, X. Wang, and Z. Niu, ‘‘Energy management and resource optimization for wireless communications under dynamic energy harvesting,” Sci Sin Inform, 42:1217-1230, Oct. 2012. (in Chinese).

  3. Z. Niu, S. Zhou, S. Zhou, X. Zhong, J. Wang, ‘‘Energy efficiency and resource optimized hyper-cellular mobile communication system architecture and its technical challenges,” Sci Sin Inform, 42:1191-1203, Oct. 2012. (in Chinese).

  4. Z. Niu, S. Zhou, Y. Hua, Q. Zhang, and D. Cao, ‘‘Energy-aware network planning for wireless cellular system with inter-cell cooperation,” IEEE Trans. Wireless Commun., 2012, 11(4):1412-1422.

  5. J. Gong, S. Zhou, and Z. Niu, “A dynamic programming approach for base station sleeping in cellular networks,” IEICE Trans. Commun., 2012, E95-B(2):551-562.

  6. S. Zhou, J. Gong, and Z. Niu, “Distributed adaptation of quantized feedback for downlink network MIMO systems,” IEEE Trans. Wireless Commun., 2011, 10(1):61-67.

  7. S. Zhou, J. Gong, Z. Niu, and Y. Jia, “A decentralized clustering scheme for dynamic downlink base station cooperation,” IEICE Trans. Commun., 2010, E93-B(12):2656-2659.

  8. S. Zhou and Z. Niu, “Distributed medium access control with SDMA support for WLANs,” IEICE Trans. Commun., 2010, E93-B(4):961-970.

Selected Conference Papers

  1. Y. Xu, S. Zhou, Q. Cao, B. Xie, Z Xiong, and Y. Ni, ‘‘Time-Triggered Reservation for Cooperative Random Access in Wireless LANS," IEEE VTC’23 Spring, Jun. 2023.

  2. B. Xie, Y. Sun, S. Zhou, Z. Niu, Y. Xu, J. Chen, and D. Gunduz, ‘‘MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles," IEEE ICC’23, Jun. 2023.

  3. Y. Xu, S. Zhou, and Z. Niu,, ‘‘SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms," IEEE ICC’23, Jun. 2023.

  4. R. Mao, J. Guo, Y. Jia, Y. Sun, S. Zhou, and Z. Niu, ‘‘DOLPHINS: Dataset for collaborative perception enabled harmonious and interconnected self-driving," Asian Conf. Comput. Vision (ACCV), Dec. 2022.

  5. X. Huang and S. Zhou, ‘‘Importance-Aware Message Exchange and Prediction for Multi-Agent Reinforcement Learning," IEEE Globecom’22, Dec. 2022.

  6. Y. Jia, R. Mao, Y. Sun, S. Zhou, and Z. Niu, ‘‘Online V2X Scheduling for Raw-Level Cooperative Perception," IEEE ICC’22, Jun. 2022.

  7. Y. Sun, S. Zhou, Z. Niu, and D. Gündüz, ‘‘Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning," IEEE ICC’22, Jun. 2022.

  8. W. Shi, Y. Sun, S. Zhou, and Z. Niu, ‘‘Device Scheduling and Resource Allocation for Federated Learning under Delay and Energy Constraints," IEEE SPAWC’21, Sep. 2021.

  9. Q, Zeng and S. Zhou, ‘‘On the Capacity of Privacy-Preserving and Straggler-Robust Distributed Coded Computing," IEEE/CIC ICCC’21, Jul. 2021.

  10. Y. Xu, S. Zhou, and Z. Niu, ‘‘The Impact of Interference Reflection on Reconfigurable Intelligent Surface-Aided Directional Transmissions," IEEE/CIC ICCC’21, Jul. 2021.

  11. R. Jiang, S. Zhou, and K. Huang, ‘‘Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection," IEEE VTC Fall’20, Nov. 2020.

  12. L. Wang, J. Sun, S. Zhou, and Z. Niu, ‘‘Timely Status Update Based on Urgency of Information with Statistical Context," ITC’20, Sep. 2020.

  13. R. Jiang and S. Zhou, ‘‘Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning," IEEE/CIC ICCC’20, Aug. 2020.

  14. 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.

  15. X. Huang and S. Zhou, ‘‘Adaptive Transmission for Edge Learning via Training Loss Estimation," IEEE ICC’20, Jun. 2020.

  16. Y. Sun, S. Zhou, and D. Gunduz, ‘‘Energy-Aware Analog Aggregation for Federated Learning with Redundant Data," IEEE ICC’20, Jun. 2020.

  17. W. Shi, S. Zhou, and Z. Niu, ‘‘Device Scheduling with Fast Convergence for Wireless Federated Learning," IEEE ICC’20, Jun. 2020.

  18. X. Huang and S. Zhou, ‘‘Latency Guaranteed Edge Inference via Dynamic Compression Ratio Selection," IEEE WCNC’20, May 2020.

  19. 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.

  20. X. Zheng, S. Zhou, and Z. Niu, ‘‘Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems," 6G Summit 2020, Mar. 2020.

  21. Y. Sun, J. Zhao, S. Zhou, and D. Gunduz, ‘‘Heterogeneous Coded Computation across Heterogeneous Workers," IEEE Globecom’19, Dec. 2019.

  22. G. Wang, S. Zhou, Z. Niu, S. Zhang, and S. Shen, ‘‘Service Function Chain Planning with Resource Balancing in Space-Air-Ground Integrated Networks," IEEE Globecom’19, Dec. 2019.

  23. X. Zheng, S. Zhou, and Z. Niu, ‘‘Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems," IEEE Globecom’19, Dec. 2019.

  24. 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, Dec. 2019.

  25. Z. Jiang and S. Zhou, ‘‘Status from a Random Field: How Densely Should One Update?" IEEE ISIT’19, Jul. 2019.

  26. Z. Jiang, A. Marinescu, L. DaSilva, S. Zhou, Z. Niu, ‘‘Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions," IEEE SPAWC’19, Jul. 2019.

  27. Z. Jiang, S. Zhou, and Z. Niu, ‘‘Distributed Policy Learning Based Random Access for Diversified QoS Requirements," IEEE ICC’19, May 2019.

  28. W. Shi, Y. Hou, S. Zhou, Z. Niu, Y. Zhang, and L. Geng, ‘‘Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning," IEEE INFOCOM’19 Workshop, Paris, May 2019.

  29. J. Sun, Z. Jiang, S. Zhou, and Z. Niu, ‘‘Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy," IEEE INFOCOM’19 Workshop, Paris, May 2019.

  30. Z. Jiang, S. Zhou, Z. Niu, and Y. Cheng, ‘‘A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks," IEEE INFOCOM’19, Paris, May 2019.

  31. B. Yin, S. Zhang, Y. Cheng, L. X. Cai, Z. Jiang, S. Zhou, and Z. Niu, ‘‘Only Those Requested Count: Proactive Scheduling Polices for Minimizing Effective Age-of-Information," IEEE INFOCOM’19, Paris, May 2019.

  32. C. Dai. X. Xiao, Y. Ding, L. Xiao, Y. Tang, S. Zhou, ‘‘Learning Based Security for VANET with Blockchain," IEEE ICCS’18, Chengdu, Dec. 2018. Best Paper Award

  33. Y. Sun, J. Song, S. Zhou, X. Guo, and Z. Niu, ‘‘Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach," IEEE Globecom’18, Dec. 2018.

  34. T. Liu, S. Zhou, and Z. Niu, ‘‘Joint Optimization of Cache Allocation and Content Placement in Urban Vehicular Networks," IEEE Globecom’18, Dec. 2018.

  35. Z. Jiang, S. Zhou, and Z. Niu, ‘‘Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing, " IEEE Globecom’18, Dec. 2018.

  36. Z. Jiang, Z. He, S. Chen, A. Molisch, S. Zhou, and Z. Niu, ‘‘Inferring Remote Channel State Information: Cramer-Rao Lower Bound and Deep Learning Implementation," IEEE Globecom’18, Dec. 2018.

  37. R. Deng, Z. Jiang, S. Zhou, S. Cui, and Z. Niu, ‘‘A Two-Step Learning and Interpolation Method for Location-Based Channel Database Construction," IEEE Globecom’18, Dec. 2018.

  38. S. Chen, Z. Jiang, S. Zhou, and Z. Niu, ‘‘Time-sequence channel inference for beam alignment in vehicular networks," IEEE GlobalSIP’18, Nov. 2018.

  39. G. Wang, S. Zhou, and Z. Niu, ‘‘Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach," IEEE WCSP’18 Hangzhou, Oct. 2018.

  40. Z. Jiang, B. Krishnamachari, S. Zhou, and Z. Niu, ‘‘Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?" ITC’18, Sep. 2018.

  41. L. Wang and S. Zhou, ‘‘Energy-efficient UAV deployment with flexible functional split selection," IEEE SPAWC’18, Kalamata, Greece, Jun. 2018.

  42. Z. Jiang, B. Krishnamachari, X. Zheng, S. Zhou, and Z. Niu, ‘‘Decentralized status update for age-of-information optimization in wireless multiaccess channels," IEEE ISIT’18, Vail, Colorado, Jun. 2018.

  43. L. Wang and S. Zhou, ‘‘Flexible functional split in C-RAN with renewable energy powered remote radio units," IEEE ICC 2018 Workshop, May 2018.

  44. Z. Jiang, S. Zhou, and Z. Niu, ‘‘Discrete spatial compression beyond beamspace channel sparsity based on branch-and-bound," IEEE ICC 2018, May 2018.

  45. Y. Sun, X. Guo, S. Zhou, Z. Jiang, X. Liu, and Z. Niu, ‘‘Learning-based task offloading for vehicular cloud computing systems," IEEE ICC 2018, May 2018.

  46. Z. Jiang, S. Zhou, and Z. Niu, ‘‘A block coordinated update method for beam-based massive MIMO downlink scheduling based on statistical CSI,” APCC’17, Perth, Dec. 2017.

  47. R. Deng, Z. Jiang, S. Zhou, and Z. Niu, ‘‘How often should CSI be updated for massive MIMO systems with massive connectivity?” IEEE Globecom 2017, Singapore, Dec. 2017.

  48. S. Chen, Z. Jiang, J. Liu, R. Vannithamby, S. Zhou, Z. Niu, and Y. Wu ‘‘Remote channel inference for beamforming in ultra-dense hyper-cellular network,“ IEEE Globecom 2017, Singapore, Dec. 2017.

  49. L. Chen, J. Xu, and S. Zhou, ‘‘Computation peer offloading in mobile edge computing with energy budgets,” IEEE Globecom 2017, Singapore, Dec. 2017.

  50. Y. Li, Z. Jiang, A. Xu, S. Zhou, and Z. Niu, ‘‘Elastic local breakout strategy and implementation for delay-sensitive packets with local significance," IEEE WCSP 2017, Nanjing, Oct. 2017.

  51. L. Wang and S. Zhou, ‘‘Fractional dynamic caching: minimizing the file delivery time under limited backhaul,“ IEEE SPAWC’17, Sapporo, Jul. 2017.

  52. X. Zheng, S. Zhou, and Z. Niu, ‘‘Proactive content push in heterogeneous networks with multiple energy harvesting small cells,” IEEE VTC-Spring 2017, Sydney, Jun. 2017.

  53. T. Liu, S. Zhou, and Z. Niu, ‘‘Mobility-aware coded-caching scheme for small cell network,” IEEE ICC 2017, Paris, May 2017.

  54. T. Zhao, S. Zhou, X. Guo, and Z. Niu, ‘‘Tasks scheduling and resource allocation in heterogeneous cloud for delay-bounded mobile edge computing,” IEEE ICC 2017, Paris, May 2017.

  55. Z. Jiang, S. Zhou, and Z. Niu, ‘‘Antenna-beam spatial transformation in C-RAN with large antenna arrays,” IEEE ICC 2017 Workshop, Paris, May 2017.

  56. L. Chen, S. Zhou, and J. Xu, ‘‘Energy efficient mobile edge computing in dense cellular networks,” IEEE ICC 2017, Paris, May 2017.

  57. J. Xu, Y. Sun, L. Chen, and S. Zhou, ‘‘E2M2: Energy efficient mobility management in dense small cells with mobile edge computing,” IEEE ICC 2017, Paris, May 2017.

  58. J. Gong, S. Zhou, and Z. Zhou, ‘‘Analysis and optimization of wireless transmissions over fast fading channels with slow time-varying energy arrival,” IEEE ICC 2017, Paris, May 2017.

  59. L. Liu, Y. Cheng, Lin X. Cai, S. Zhou, and Z. Niu, ‘‘Deep learning based optimization in wireless network,” IEEE ICC 2017, Paris, May 2017.

  60. R. Deng, S. Zhou, and Z. Niu, ‘‘Scalable non-orthogonal pilot design for massive MIMO systems with massive connectivity,” IEEE Globecom Workshop, Dec. 2016.

  61. J. Gong, S. Zhou, Z. Zhou, and Z. Niu, ‘‘Joint optimization of content caching and push in renewable energy powered small cells,” IEEE ICC 2016, Kuala Lumpur, May. 2016.

  62. T. Zhao, S. Zhou, X. Guo, Y. Zhao, and Z. Niu, ‘‘Pricing policy and computational resource provisioning for Delay-aware mobile edge computing”, IEEE ICCC 2016, Chengdu, China, Jul. 2016.

  63. X. Zheng, S. Zhou, and Z. Niu, ‘‘On the online minimization of completion time in an energy harvesting system,” in Proc. IEEE WiOpt, Phoenix, AZ, May. 2016.

  64. S. Zhang, S. Zhou, J. Gong, Z. Niu, N. Zhang, and S. Shen, ‘‘Spatial traffic shaping in heterogeneous cellular networks with energy harvesting,” in Proc. IEEE Global Commun. Conf., San Diego, CA, Dec. 2015.

  65. J. Liu, R. Deng, S. Zhou, and Z. Niu, ‘‘Seeing the unobservable: channel learning for wireless communication networks,” in Proc. IEEE Global Commun. Conf., San Diego, CA, Dec. 2015.

  66. T. Zhao, S. Zhou, X. Guo, Y. Zhao, and Z. Niu, ‘‘A Cooperative scheduling scheme of local cloud and internet cloud for delay-aware mobile cloud computing,” in Proc. IEEE Global Commun. Conf. Workshop, San Diego, CA, Dec. 2015.

  67. Y. Zhao, S. Zhou, T. Zhao, and Z. Niu, ‘‘Energy-efficient task offloading for multiuser mobile cloud computing,” in Proc. IEEE ICCC, Shenzhen, China, Nov. 2015.

  68. J. Gong, S. Zhou, Z. Zhou, and Z. Niu, ‘‘Proactive push with energy harvesting based small cells in heterogeneous networks,” in Proc. IEEE Int. Conf. on Commun., London, UK, Jun. 2015.

  69. J. Liu, S. Zhou, J. Gong, Z. Niu, and S. Xu, ‘‘Graph-based framework for flexible baseband function splitting and placement in C-RAN,” in Proc. IEEE Int. Conf. on Commun., London, UK, Jun. 2015.

  70. X. Zhang, S. Zhou, Z. Niu, and X. Lin, ‘‘RF chain and user selection for multiuser MIMO systems under random data arrival,” in Proc. IEEE WCNC, New Orleans, LA, Mar. 2015.

  71. Z. Jiang, S. Zhou, and Z. Niu, ‘‘On dimensionality loss in FDD Massive MIMO Systems,” in Proc. IEEE WCNC, New Orleans, LA, Mar. 2015.

  72. Z. Jiang, S. Zhou, and Z. Niu ‘‘User scheduling in pilot-assisted TDD multiuser MIMO systems,” in Proc. IEEE WCNC, New Orleans, LA, Mar. 2015.

  73. Z. Zhou, S. Zhou, J. Gong, and Z. Niu, ‘‘Energy-efficient antenna selection and power allocation for large-scale multiple antenna systems with hybrid energy supply,” in Proc. IEEE Global Commun. Conf., Austin, TX, Dec. 2014.

  74. J. Liu, S. Zhou, J. Gong, and Z. Niu, ‘‘On the statistical multiplexing gain of virtual base station pools,” in Proc. IEEE Global Commun. Conf., Austin, TX, Dec. 2014.

  75. J. Gong, S. Zhou, Z. Zhou, and Z. Niu, ‘‘Downlink base station cooperation with energy harvesting,” in Proc. IEEE ICCS, Macau, China, Nov. 2014. Invited Paper.

  76. S. Zhang, S. Zhou, and Z. Niu, ‘‘Traffic aware offloading for BS sleeping in heterogeneous networks,’’ in Proc. Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2014. Invited Paper.

  77. S. Zhang, S. Zhou, Z. Niu, and Y. Cheng, ‘‘A practical channel allocation scheme based on the weighted conflict graph in heterogeneous networks,” in Proc. IEEE ICCC, Shanghai, China, Oct. 2014.

  78. X. Zhang, S. Zhou, Z. Niu, and X. Lin, ‘‘Energy-efficiency and spectrum-efficiency tradeoff in coordinated small-cell networks,” in Proc. IEEE ICCC, Shanghai, China, Oct. 2014.

  79. J. Wu, S. Zhou, Z. Niu, C. Liu, P. Yang, and G. Miao, ‘‘Traffic-aware data and signaling resource management for green cellular networks,” in Proc. IEEE Int. Conf. on Commun., Sydney, Australia, Jun. 2014.

  80. T. Chen, S. Zhou, W. Chen, and Z. Niu, ‘‘Power control policies for a wireless link with energy harvesting transmitter and receiver,” in Proc. IEEE WiOpt, Tunisia, May 2014.

  81. S. Zhou, J. Gong, and Z. Niu, ‘‘Sleep control for base station powered by heterogenous energy sources,” in Proc. IEEE ICTC, Jeju, Korea, Oct. 2013. Invited Paper.

  82. X. Guo, S. Zhou, Z. Niu, and P. R. Kumar, ‘‘Optimal wake-up mechanism for single base station with sleep mode,” in Proc. ITC, Shanghai, Shanghai, China, Sep. 2013. Best Paper Award.

  83. S. Zhang, S. Zhou, and Z. Niu, ‘‘Joint optimization of frequency allocation and user association with differentiated service in hyper-cellular networks,” in Proc. APCC, Bali, Indonesia, Sep. 2013. Best Paper Award.

  84. D. Lee, S. Zhou, and Z. Niu, ‘‘Spatial modeling of scalable spatially-correlated log-normal distributed traffic inhomogeneity and energy-efficient network planning,” in Proc. IEEE WCNC, Shanghai, China, Apr. 2013.

  85. Z. Jiang, S. Zhou, and Z. Niu, ‘‘Capacity bounds of downlink network MIMO systems with inter-cluster interference,’’ in Proc. IEEE Global Commun. Conf., Anaheim, CA, Dec. 2012.

  86. X. Zhang, S. Zhou, X. Wang, Z. Niu, X. Lin, D. Zhu, and M.Lei, ‘‘Improving network throughput in 60GHz WLANs via multi-AP diversity,” in Proc. IEEE Int. Conf. on Commun., Ottawa, Canada, Jun. 2012.

  87. D. Cao, S. Zhou, and Z. Niu, ‘‘Optimal base station density for energy-efficient heterogeneous networks,” in Proc. IEEE Int. Conf. on Commun., Ottawa, Canada, Jun. 2012.

  88. B. S. Thian, S. Zhou, A. Goldsmith, and Z. Niu, ‘‘Minimizing transmit power in a virtual-cell downlink with distributed antennas,’’ in Proc. IEEE Global Commun. Conf., Houston, TX, Dec. 2011.

  89. D. Lee, S. Zhou, and Z. Niu, ‘‘Multi-hop relay network for base station energy saving and its performance evaluation,” in Proc. IEEE Global Commun. Conf., Houston, TX, Dec. 2011.

  90. J. Gong, S. Zhou, Z. Niu, L. Geng, and M. Zheng, ‘‘scheduling and dynamic clustering in downlink cellular networks,” in Proc. IEEE Global Commun. Conf., Houston, TX, Dec. 2011.

  91. S. Zhou, A. Goldsmith, and Z. Niu, ‘‘On optimal relay placement and sleep control to improve energy efficiency in cellular networks,” in Proc. IEEE Int. Conf. on Commun., Kyoto, Japan, Jun. 2011.

  92. J. Gong, S. Zhou, and Z. Niu, ‘‘Queuing on energy-efficient wireless transmissions with adaptive modulation and coding,” in Proc. IEEE Int. Conf. on Commun., Kyoto, Japan, Jun. 2011.

  93. D. Cao, S. Zhou, C. Zhang, and Z. Niu, “Energy saving performance comparison of coordinated multi-point transmission and wireless relaying,” in Proc. IEEE Global Commun. Conf., Miami, FL, Dec. 2010.

  94. J. Gong, S. Zhou, Z. Niu, and P. Yang, “Traffic-aware base station sleeping in dense cellular networks,” in Proc. IEEE IWQoS, Poster, Beijing, China, Jun. 2010.

  95. S. Zhou, J. Gong, Z. Niu, Y. Jia, and P. Yang, “A decentralized framework for dynamic downlink base station cooperation,” in Proc. IEEE Global Commun. Conf., Honolulu, HI, Dec. 2009.

  96. J. Xu, S. Zhou, and Z. Niu, ‘‘Interference-aware relay selection for multiple source-destination cooperative networks,” in Proc. APCC, Shanghai, China, Oct. 2009. Best Paper Award.

  97. S. Zhou, J. Gong, Z. Yang, Z. Niu, and P. Yang, ‘‘Green mobile access networks with dynamic base station energy saving,” in Proc. ACM Mobicom, Poster, Beijing, China, Sep. 2009.

  98. S. Zhou, H. Xiao, and Z. Niu, ‘‘Distributed power control for interference-limited cooperative relay networks,” in Proc. IEEE Int. Conf. on Commun., Dresden, Germany, Jun. 2009.

  99. S. Zhou and Z. Niu, ‘‘Queuing analysis on MIMO systems with adaptive modulation and coding,” in Proc. IEEE Int. Conf. on Commun., Beijing, China, May 2008.

  100. S. Zhou and Z. Niu, ‘‘An uplink medium access protocol with SDMA support for multiple-antenna WLANs,” in Proc. IEEE WCNC, Las Vegas, NV, Apr. 2008.

  101. S. Zhou and Z. Niu, ‘‘On the impact of carrier frequency offsets in OFDM/SDMA systems,” in Proc. IEEE Int. Conf. on Commun., Glasgow, Scotland, Jun. 2007.