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Zhiwei Cao

Publications
4
Citations
146
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (12)
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Zhiwei Cao

Affiliation

State Key Laboratory of Integrated Services Networks
School of Telecommunications Engineering
Xidian University, Xi’an, China
Hangzhou Institute of Technology
Xidian University
Hangzhou, China

Publication Topics

Biography

Zhiwei Cao received the B.S. degree in communication engineering from Shanghai University, Shanghai, China, in 2021. He is currently pursuing the M.S. degree in electronic information engineering with Xidian University, Xi’an, China. His research interests include edge computing, NOMA, and deep reinforcement learning.(Based on document published on 13 October 2023).
Publications
4
Citations
146
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (12)
Author's Published Works

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NOMA-Assisted Secure Offloading for Vehicular Edge Computing Networks With Asynchronous Deep Reinforcement Learning

Ying Ju;Zhiwei Cao;Yuchao Chen;Lei Liu;Qingqi Pei;Shahid Mumtaz;Mianxiong Dong;Mohsen Guizani

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 3 | Journal Article |
Cited by: Papers (35)
Mobile edge computing (MEC) offers promising solutions for various delay-sensitive vehicular applications by providing high-speed computing services for a large number of user vehicles simultaneously. In this paper, we investigate non-orthogonal multiple access (NOMA) assisted secure offloading for vehicular edge computing (VEC) networks in the presence of multiple malicious eavesdropper vehicles....Show More

NOMA-Assisted Secure Offloading for Vehicular Edge Computing Networks With Asynchronous Deep Reinforcement Learning

Ying Ju;Zhiwei Cao;Yuchao Chen;Lei Liu;Qingqi Pei;Shahid Mumtaz;Mianxiong Dong;Mohsen Guizani

Year: 2024 | Volume: 25, Issue: 3 | Journal Article |

Energy Efficient Secure Offloading in NOMA-aided Vehicular Networks Using A3C Learning

Ying Ju;Zhiwei Cao;Yuchao Chen;Lei Liu;Qingqi Pei;Shahid Mumtaz

ICC 2023 - IEEE International Conference on Communications
Year: 2023 | Conference Paper |
Cited by: Papers (1)
High-speed computation resources are provided by mobile edge computing (MEC) to boost various delay-sensitive vehicular applications. However, compared to computing tasks locally, the MEC approach consumes extra energy in the offloading process. In this paper, an asynchronous deep reinforcement learning-based energy-efficient secure offloading (EESO) is proposed to enhance the energy efficiency an...Show More

Energy Efficient Secure Offloading in NOMA-aided Vehicular Networks Using A3C Learning

Ying Ju;Zhiwei Cao;Yuchao Chen;Lei Liu;Qingqi Pei;Shahid Mumtaz

Year: 2023 | Conference Paper |

Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

Ying Ju;Yuchao Chen;Zhiwei Cao;Lei Liu;Qingqi Pei;Ming Xiao;Kaoru Ota;Mianxiong Dong;Victor C. M. Leung

IEEE Transactions on Intelligent Transportation Systems
Year: 2023 | Volume: 24, Issue: 5 | Journal Article |
Cited by: Papers (106)
The mobile edge computing (MEC) technology can simultaneously provide high-speed computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) networks. Nevertheless, due to the open feature of the wireless offloading channels and the high mobility of the vehicles, the security and stability of the offloading process would be seriously degraded. In this paper, by utilizin...Show More

Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

Ying Ju;Yuchao Chen;Zhiwei Cao;Lei Liu;Qingqi Pei;Ming Xiao;Kaoru Ota;Mianxiong Dong;Victor C. M. Leung

Year: 2023 | Volume: 24, Issue: 5 | Journal Article |

Learning Based and Physical-layer Assisted Secure Computation Offloading in Vehicular Spectrum Sharing Networks

Ying Ju;Yuchao Chen;Zhiwei Cao;Haoyu Wang;Lei Liu;Qingqi Pei;Neeraj Kumar

IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2022 | Conference Paper |
Cited by: Papers (4)
Massive computing tasks have been generated with the widespread applications of big data analysis in vehicular edge computing (VEC) networks. However, the offloading process of the VEC networks suffers a threat of information leakage. The physical layer security (PLS) technology is an effective security solution to protect confidential information. Furthermore, the contradiction between massive da...Show More

Learning Based and Physical-layer Assisted Secure Computation Offloading in Vehicular Spectrum Sharing Networks

Ying Ju;Yuchao Chen;Zhiwei Cao;Haoyu Wang;Lei Liu;Qingqi Pei;Neeraj Kumar

Year: 2022 | Conference Paper |

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