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Haixia Peng
Haixia Peng
Computer Engineering & Computer Science, California State University Long Beach
Geverifieerd e-mailadres voor csulb.edu - Homepage
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Vehicular communications: A network layer perspective
H Peng, L Liang, X Shen, GY Li
IEEE Transactions on Vehicular Technology 68 (2), 1064-1078, 2018
2222018
Vehicular communications: A physical layer perspective
L Liang, H Peng, GY Li, X Shen
IEEE Transactions on Vehicular Technology 66 (12), 10647-10659, 2017
1972017
Performance analysis of IEEE 802.11 p DCF for multiplatooning communications with autonomous vehicles
H Peng, D Li, K Abboud, H Zhou, H Zhao, W Zhuang, X Shen
IEEE Transactions on Vehicular Technology 66 (3), 2485-2498, 2016
1052016
SDN-based resource management for autonomous vehicular networks: A multi-access edge computing approach
H Peng, Q Ye, XS Shen
IEEE Wireless Communications 26 (4), 156-162, 2019
912019
Resource allocation for cellular-based inter-vehicle communications in autonomous multiplatoons
H Peng, D Li, Q Ye, K Abboud, H Zhao, W Zhuang, X Shen
IEEE Transactions on Vehicular Technology 66 (12), 11249-11263, 2017
902017
Deep reinforcement learning based resource management for multi-access edge computing in vehicular networks
H Peng, X Shen
IEEE Transactions on Network Science and Engineering 7 (4), 2416-2428, 2020
772020
Multi-agent reinforcement learning based resource management in MEC-and UAV-assisted vehicular networks
H Peng, X Shen
IEEE Journal on Selected Areas in Communications 39 (1), 131-141, 2020
632020
Spectrum management for multi-access edge computing in autonomous vehicular networks
H Peng, Q Ye, X Shen
IEEE Transactions on Intelligent Transportation Systems 21 (7), 3001-3012, 2019
502019
Toward energy-efficient and robust large-scale WSNs: A scale-free network approach
H Peng, S Si, MK Awad, N Zhang, H Zhao, XS Shen
IEEE Journal on Selected Areas in Communications 34 (12), 4035-4047, 2016
362016
Deep reinforcement learning based resource management for DNN inference in industrial IoT
W Zhang, D Yang, H Peng, W Wu, W Quan, H Zhang, X Shen
IEEE Transactions on Vehicular Technology 70 (8), 7605-7618, 2021
272021
Optimizing federated learning in distributed industrial IoT: A multi-agent approach
W Zhang, D Yang, W Wu, H Peng, N Zhang, H Zhang, X Shen
IEEE Journal on Selected Areas in Communications 39 (12), 3688-3703, 2021
262021
DDPG-based resource management for MEC/UAV-assisted vehicular networks
H Peng, XS Shen
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-6, 2020
182020
Resource allocation for D2D-enabled inter-vehicle communications in multiplatoons
H Peng, D Li, Q Ye, K Abboud, H Zhao, W Zhuang, XS Shen
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
182017
Performance analysis of IEEE 802.11 p DCF for inter-platoon communications with autonomous vehicles
H Peng, D Li, K Abboud, H Zhou, W Zhuang, X Shen, H Zhao
Global Communications Conference (GLOBECOM), 2015 IEEE, 1-6, 2015
172015
Energy-efficient and fault-tolerant evolution models for large-scale wireless sensor networks: A complex networks-based approach
H Peng, S Si, MK Awad, N Cheng, H Zhou, X Shen, H Zhao
2015 IEEE global communications conference (GLOBECOM), 1-6, 2015
102015
Quasi-real-time coordinated charging/discharging policy for electric vehicles
X Tan, H Zhao, H Peng, D Li
Trans. China Electrotech. Soc 13, 69-76, 2015
72015
Edge intelligence for multi-dimensional resource management in aerial-assisted vehicular networks
H Peng, H Wu, XS Shen
IEEE Wireless Communications 28 (5), 59-65, 2021
52021
Spectrum resource management for multi-access edge computing in autonomous vehicular networks
H Peng, Q Ye, X Shen
arXiv preprint arXiv:1901.00808, 2019
52019
IOS 平台上基于 GPRS 技术的 Web 客户端系统的设计与实现
赵海, 彭海霞, 朱剑
东北大学学报: 自然科学版 33 (10), 1399-1402, 2012
52012
Deep reinforcement learning based resource management for DNN inference in IIoT
W Zhang, D Yang, H Peng, W Wu, W Quan, H Zhang, XS Shen
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
32020
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Artikelen 1–20