Northeastern University Wireless Networks and Embedded Systems Lab
Hai Cheng

Hai Cheng

PhD Candidate

Wireless Networks and Embedded Systems Laboratory
Department of Electrical and Computer Engineering
Northeastern University,
805 Columbus, Boston, MA 02115.

Email: cheng.hai@northeastern.edu






Biography

Hai Cheng received the B.Eng. degree from Xidian University, China, in 2015, and the M.S. degree from ShanghaiTech University, China, in 2018. He is currently pursuing the Ph.D. degree in computer engineering with Institute for Wireless IoT, Northeastern University. His research interests include machine learning and optimization in wireless network systems.

Research

  • Wireless Networks

  • Open RAN

  • Machine Learning

Publications

Articles in Journals

  • M. Polese, L. Bonati, S. D’Oro, P. Johari, D. Villa, S. Velumani, R. Gangula, M. Tsampazi, C. Robinson, G. Gemmi, A. Lacava, S. Maxenti, H. Cheng, and T. Melodia, "Colosseum: The Open RAN Digital Twin," IEEE Open Journal of the Communications Society, pp. 1-13, August 2024. [pdf] [bibtex]

  • S. D'Oro, M. Polese, L. Bonati, H. Cheng, and T. Melodia, "dApps: Distributed Applications for Real-time Inference and Control in O-RAN," IEEE Communications Magazine, vo. 60, no. 11, Nov. 2022. [pdf] [bibtex]

  • B. Azari, H. Cheng, N. Soltani, H. Li, Y. Li, M. Belgiovine, T. Imbiriba, S. D’Oro, T. Melodia, Y. Wang, P. Closas, K. Chowdhury, D. Erdogmuz "Automated Deep Learning-based Wide-band Receiver," Computer Networks, vol. 218, Computer Networks, Dec. 2022. [pdf] [bibtex]

  • N. Soltani, H. Cheng, M. Belgiovine, Y. Li, H. Li, B. Azari, S. D'Oro, T. Imbiriba, T. Melodia, P. Closas, Y. Wang, D. Erdogmus, K. Chowdhury "Neural Network-based OFDM Receiver for Resource Constrained IoT Devices," IEEE Internet of Things Magazine, vol 5, no. 3, pp. 158-164, 2022. [pdf] [bibtex]

  • H. Cheng, L. Bertizzolo, S. D'Oro, J. Buczek, T. Melodia, and E. S. Bentley "Learning to Fly: A Distributed Deep-Reinforcement Learning Framework for Software-Defined UAV Network Control," IEEE Open Journal of the Communications Society, 2021. [pdf] [bibtex] [VIDEO]

  • H. Cheng, X. Yuan and T. Yang, "Generalized Signal-Space Alignment Based Physical-Layer Network Coding for Distributed MIMO Systems," in IEEE Access, vol. 7, pp. 48430-48444, 2019. [pdf] [bibtex]

  • H. Cheng, X. Yuan, and Y. Tan, “Generalized compute-compress-and-forward,” IEEE Transactions on Information Theory, vol. 65, no. 1, pp. 462–481, Jan 2019. [pdf] [bibtex]

Articles in Conference Proceedings

  • H. Cheng, S. D'Oro, R. Gangula, S. Velumani, D. Villa, L. Bonati, M. Polese, T. Melodia, G. Arrobo, and C. Maciocco, "ORANSlice: An Open Source 5G Network Slicing Platform for O-RAN," Proc. of ACM Workshop on Open and AI RAN, Washington, DC, USA, November 2024. [pdf] [bibtex]

  • A. Sheshashayee, M. Bordin, P. Brach del Prever, D. Villa, H. Cheng, C. Petrioli, T. Melodia, S. Basagni, "Experimental Evaluation of the Performance of UAV-assisted Data Collection for Wake-up Radio-enabled Wireless Networks," Proc. of IEEE Vehicular Technology Conference (VTC) Spring, Singapore, June 2024. [pdf] [bibtex]

  • H. Cheng, P. Johari, M. A. Arfaoui, F. Periard, P. Pietraski, G. Zhang, T. Melodia, "Real-Time AI-Enabled CSI Feedback Experimentation with Open RAN," Proc. of IEEE/IFIP Wireless On-demand Network systems and Services Conference (WONS), Chamonix, France, January 2024. [pdf] [bibtex]

  • A. Pinto, A. Ashdown, T. Hassan, H. Cheng, F. Esposito, L. Bonati, S. D'Oro, T. Melodia, and F. Restuccia, "An Emulation-Based Framework for Transport Layer Measurements over 5G Wireless Networks," Proc. of the 17th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (WiNTECH 2023), Madrid, Spain, October 2023. [pdf] [bibtex]

  • H. Cheng, X. Yuan, and Y. Tan, “Compute-compress-and-forward:new results,” in Proc. 2017 IEEE GLOBECOM, Singapore, Dec. 4-8 2017. [pdf] [bibtex]