📑 Journals (Lead)

1. Kaiqiang Lin* and M.-S. Alouini, “Max-Min Throughput in RSMA-Aided SWIPT for Sustainable Internet of Underground Things: A Deep Reinforcement Learning Approach,” submitted.

2. Kaiqiang Lin* and M.-S. Alouini, “Terra-Fi: Decoupling Sensing and Wireless Depths for Sustainable Deep Underground Monitoring,” arXiv preprint arXiv:2610.33202, Oct. 2026.

3. Kaiqiang Lin, Kangchun Zhao, and Y. Mao*, “Deep Reinforcement Learning-Based Cooperative Rate Splitting for Satellite-to-Underground Communication Networks,” IEEE Transactions on Vehicular Technology, vol. 75, no. 9, pp. 21980-21985, Sep. 2026.

4. Kaiqiang Lin* and M.-S. Alouini, “Toward Sustainable Subterranean mMTC: Space-Air-Ground-Underground Networks Powered by LoRaWAN and Wireless Energy Transfer,” IEEE Wireless Communications, vol. 33, no. 4, pp. 137-145, Aug. 2026.

5. Kaiqiang Lin, Y. Mao*, O. L. A. López, and M.-S. Alouini, “UAV-Enabled Wireless-Powered Underground Communication Networks: A Novel Time Allocation Approach,” IEEE Transactions on Green Communications and Networking, vol. 10, pp. 1618-1632, 2026 (first published online Dec. 2025).

6. Kaiqiang Lin* and M.-S. Alouini, “Connectivity Analysis of LoRaWAN-Based Non-Terrestrial Networks for Subterranean mMTC,” IEEE Internet of Things Journal, vol. 12, no. 23, pp. 50604-50616, Dec. 2025. Code

7. Kaiqiang Lin, Y. Mao*, “RIS-aided Wireless-Powered Backscatter Communications for Sustainable Internet of Underground Things),” IEEE Internet of Things Magazine, vol. 8, no. 2, pp. 70-76, Mar. 2025.

8. Kaiqiang Lin, M. A. Ullah, H. Alves, K. Mikhaylov, and T. Hao*, “LoRaWAN Underground-to-Satellite Connectivity for Enabling Subterranean mMTC: An Urban Underground Pipelines Monitoring Case Study,” Ad Hoc Networks, vol. 169, p. 103747, Mar. 2025. Code

9. Kaiqiang Lin, M. A. Ullah, H. Alves, K. Mikhaylov, and T. Hao*, “Energy Efficiency Optimization for Subterranean LoRaWAN Using A Reinforcement Learning Approach: A Direct-to-Satellite Scenario,” IEEE Wireless Communications Letters, vol. 13, no. 2, pp. 308-312, Feb. 2024.

10. Kaiqiang Lin, O. L. A. López, H. Alves, and T. Hao*, “On CSI-Free Multi-Antenna Schemes for Massive Wireless-Powered Underground Sensor Networks,” IEEE Internet of Things Journal, vol. 10, no. 19, pp. 17557-17570, Oct. 2023.

11. Kaiqiang Lin, M. A. Ullah, H. Alves, K. Mikhaylov, and T. Hao*, “Subterranean mMTC in Remote Areas: Underground-to-Satellite Connectivity Approach,” IEEE Communications Magazine, vol. 61, no. 5, pp. 136-142, May 2023. Code

12. Kaiqiang Lin, O. L. A. López, H. Alves, D. Chapman, N. Metje, G. Zhao, and T. Hao*, “Throughput optimization in backscatter-assisted wireless-powered underground sensor networks for smart agriculture,” Internet of Things, vol. 20, p. 100637, Nov. 2022.

13. Kaiqiang Lin and T. Hao*, “Experimental Link Quality Analysis for LoRa-Based Wireless Underground Sensor Networks,” IEEE Internet of Things Journal,vol. 8, no. 8, pp. 6565-6577, Apr. 2021.

14. Kaiqiang Lin, and T. Hao*, “Link Quality Analysis of Wireless Sensor Networks for Underground Infrastructure Monitoring: A Non-Backfilled Scenario,” IEEE Sensors Journal, vol. 21, no. 5, pp. 7006-7014, Mar. 2021.

🤝 Journals (Co-author)

1. Z. Zhang, Kaiqiang Lin, Y. Zhou, and T. Hao*, “Achieving Sustainable Connectivity in RIS-Aided Wireless-Powered Underground Sensor Networks via Reinforcement Learning,” submitted.

2. Z. Zhang, Kaiqiang Lin, and T. Hao*, “Multi-UAV-Assisted Cooperative Localization of Underground Sensor Nodes Using Multi-Objective Reinforcement Learning,” IEEE Internet of Things Journal, vol. 13, no. 7, pp. 13527-13545, Apr. 2026.

3. L. Lei, Kaiqiang Lin, and T. Hao*, “Suppression of Signal Distortion Within CSI Ratio Based Wireless Sensing by Orthogonal Antennas,” IEEE Sensors Journal, vol. 24, no. 20, pp. 32356-32367, Oct. 2024.

4. G. Zhao, Kaiqiang Lin, and T. Hao*, “A Feasibility Study of LoRaWAN-Based Wireless Underground Sensor Networks for Underground Monitoring,” Computer Networks, vol. 232, p. 109851, Aug. 2023.

5. G. Zhao, Kaiqiang Lin, D. Chapman, N. Metje, and T. Hao*, “Optimizing Energy Efficiency of LoRaWAN-Based Wireless Underground Sensor Networks: A Multi-Agent Reinforcement Learning Approach,” Internet of Things, vol. 22, p. 100776, Jul. 2023.

6. T. Hao*, W. Zheng, W. He, and Kaiqiang Lin, “Air-Ground Impedance Matching by Depositing Metasurfaces for Enhanced GPR Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp. 4061-4075, Jun. 2020.

7. W. He, T. Hao*, H. Ke, W. Zheng, and Kaiqiang Lin, “Joint Time-Frequency Analysis of Ground Penetrating Radar Data Based on Variational Mode Decompositio,” Journal of Applied Geophysics, vol. 181, p. 104146, Oct. 2020.

8. T. Hao*, W. Zheng, W. Wang, Y. Zhou, J. Bai, Kaiqiang Lin, and Z. Yu, “Electrically Thin Metasurface for Broadband Transmission Enhancement by Manipulating the Amplitude and Phase of the Reflection Coefficients,” Journal of Applied Physics, vol. 126, no. 2, p. 025303, Jul. 2019.

🎤 Conferences

1. Kaiqiang Lin* and M.-S. Alouini, “Toward Sustainable Internet of Underground Things: A LoRaWAN and Wireless Energy Transfer Integration Approach,” 2025 19th Middle East Corrosion Conference and Exhibition, Dammam, Kingdom of Saudi Arabia. (Oral presentation)

2. Kaiqiang Lin, T. Hao*, “Adaptive Selection of Transmission Configuration for LoRa-Based Wireless Underground Sensor Networks,” 2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China, 2021, pp. 1–6. (Oral presentation)

3. Kaiqiang Lin, T. Hao*, Z. Yu, W. Zheng, and W. He, “A Preliminary Study of UG2AG Link Quality in LoRa-Based Wireless Underground Sensor Networks,” 2019 IEEE 44th Conference on Local Computer Networks (LCN), Osnabrueck, Germany, 2019, pp. 51–59. (Oral presentation, Student travel grant)

4. Kaiqiang Lin, T. Hao*, W. Zheng, and W. He, “Analysis of LoRa Link Quality for Underwater Wireless Sensor Networks: A Semi-Empirical Study,” 2019 IEEE Asia-Pacific Microwave Conference (APMC), Singapore, 2019, pp. 120–122. (Oral presentation)

5. L. Lei, W. Zhai, Kaiqiang Lin, N. Metje, and T. Hao*, “Experimental Evaluation of UG2AG Wireless Communication Channel for LoRaWAN-Based Underground Infrastructure Monitoring,” 2023 9th International Conference on Computer and Communications (ICCC), Chengdu, China, 2023, pp. 914–918.

6. W. He, T. Hao*, H. Ke, and Kaiqiang Lin, “VMD Analysis of RF-Tagged Buried Pipes for GPR Applications,” 2019 IEEE Asia-Pacific Microwave Conference (APMC), Singapore, 2019, pp. 560–562.

📌 Patent

1. Kaiqiang Lin and T. Hao, “Spreading Factor Allocation Method for LoRaWAN-Based Underground Direct-to-Satellite Systems,” Chinese Patent No. ZL202311377712.0, granted Sep. 23, 2026.

2. Kaiqiang Lin and T. Hao, “Throughput Optimization Method for Underground Wireless Energy Supply Sensor Network,” Chinese Patent No. ZL20210935556.X, granted Apr. 7, 2023.

3. T. Hao and Kaiqiang Lin, “Underground Wireless Sensor Network Node Energy Consumption Optimization Method Based on LoRa,” Chinese Patent No. ZL202011292033.X, granted Nov. 9, 2021.