Mrs. Lin Kang | Wireless Communication | Best Researcher Award
Mrs. Lin Kang | Wireless Communication | Taiyuan University of Science and Technology | China
Mrs. Lin Kang is a lecturer in the School of Electronic Information Engineering at Taiyuan University of Science and Technology, China, and a doctoral researcher at Beijing University of Posts and Telecommunications, where she is pursuing a Ph.D. in Electronic Engineering. Mrs. Lin Kang received her Bachelor’s and Master’s degrees in Electronic Information Engineering and Control Theory from Taiyuan University of Science and Technology, where she has been continuously employed since the beginning of her academic career. Her professional trajectory reflects a strong integration of teaching, research, and applied engineering, with long-term engagement in higher education and scientific research within the field of electronic and information systems. As a faculty member, Mrs. Lin Kang contributes to curriculum development, academic instruction, and research supervision in electronic information engineering, while actively advancing her doctoral research in parallel. Her research interests focus on wireless sensor networks, vehicular networks, edge computing, spectrum access, resource allocation, and intelligent communication systems, with particular emphasis on the application of deep reinforcement learning, attention mechanisms, and optimization algorithms to next-generation wireless networks. Mrs. Lin Kang has developed strong research skills in wireless communication modeling, network topology control, coverage and connectivity analysis, stochastic channel modeling, energy harvesting communication systems, vehicular edge networks, and artificial intelligence–driven optimization techniques, including LSTM-based models, proximal policy optimization, DDPG, and hybrid heuristic algorithms. Her scholarly output includes peer-reviewed journal publications addressing spectrum access, throughput maximization, symbiotic radio systems, vehicular communication, and sensor network connectivity, demonstrating sustained contributions to both theoretical foundations and applied methodologies.
Professional Profiles: ORCID
Selected Publications
Lin, K., Wei, Y., Ma, M., Guo, Y., & Qiao, W. (2026). Lyapunov-enabled attention-inspired DRL approach for R2X offloading in vehicular edge network.
Zhu, Y., Kang, L., Su, J., & Yang, D. (2025). Throughput maximization in EH symbiotic radio system based on LSTM-attention-driven DDPG.
Lin, K., Chen, J., Wang, J., & Wei, Y. (2024). An LSTM-based hybrid proximal policy optimization spectrum access algorithm in vehicular network.
Lin, K., Wang, J., Chen, J., & Yang, D. (2024). Resource allocation in vehicular network based on sparrow search algorithm and hyper-graph in the presence of multiple cellular users.
Lin, K., Dong, Z., & Qi, Y. (2020). Critical density for coverage and connectivity in non-orientation directional sensor network.
Wang, X., Kang, L., You, J., & Song, M. (2016). A topology controlling scheme based on guard region in wireless sensor network.
Li, J., Wang, C., Zhang, Y., Kang, L., & Chen, Z. (2015). On critical density for coverage and connectivity in directional sensor network over stochastic channels using continuum percolation.