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China

Biography

Kaijun Cheng received the B.E. degree in communication engineering from Southwest Jiaotong University, Chengdu, China, in 2015, where he is currently pursuing the Ph.D. degree with the Key Laboratory of Information Coding and Transmission, School of Information Science and Technology. His research interests include mmWave wireless communications, wireless resource optimization and management, unmanned aerial vehicle communications and edge computing.

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Education and qualifications (1)

Southwest Jiaotong University: Chengdu, Sichuan, CN

2011-09-10 to 2024-06-09
Education
Source: Self-asserted source
Kaijun Cheng

Works (6)

Energy Efficient Edge Computing and Data Compression Collaboration Scheme for UAV-Assisted Network

IEEE Transactions on Vehicular Technology
2023-12 | Journal article
DOI: 10.1109/TVT.2023.3289962
Contributors: Kaijun Cheng; Xuming Fang; Xianbin Wang
Source: check_circle
Crossref

A Cost Efficient Edge Computing Scheme in Dual-band Cooperative Vehicular Network

2023 IEEE Wireless Communications and Networking Conference (WCNC)
2023-03 | Conference paper
DOI: 10.1109/wcnc55385.2023.10118669
Contributors: Kaijun Cheng; Xuming Fang
Source: Self-asserted source
Kaijun Cheng

Optimized resource allocation and time partitioning for integrated communication, sensing, and edge computing network

Computer Communications
2022-10 | Journal article
DOI: 10.1016/j.comcom.2022.07.030
Contributors: Kaijun Cheng; Xuming Fang; Xianbin Wang
Source: check_circle
Crossref

Cloud Based mmWave WLANs: Architectural Paradigms, Proposals and Perspectives

IEEE Wireless Communications
2020-02 | Magazine article
DOI: 10.1109/mwc.001.1900062
Part of ISSN: 1536-1284
Part of ISSN: 1558-0687
Contributors: Kaijun Cheng; Xuming Fang; Xianbin Wang
Source: Self-asserted source
Kaijun Cheng

IEEE 802.11ay-Based mmWave WLANs: Design Challenges and Solutions

IEEE Communications Surveys & Tutorials
2018 | Journal article
DOI: 10.1109/comst.2018.2816920
Part of ISSN: 1553-877X
Part of ISSN: 2373-745X
Contributors: Pei Zhou; Kaijun Cheng; Xiao Han; Qing XUE; Yuguang Fang; Rong He; Yan Long; Yanping Liu
Source: Self-asserted source
Kaijun Cheng

Coalition game for user association and bandwidth allocation in ultra-dense mmWave networks

2017 IEEE/CIC International Conference on Communications in China (ICCC)
2017-10 | Conference paper
DOI: 10.1109/iccchina.2017.8330377
Contributors: Yanping Liu; Xuming Fang; Pei Zhou; Kaijun Cheng
Source: Self-asserted source
Kaijun Cheng
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