Publications

Zongshen Wu, Rahman Doost-Mohammady, Ashutosh Sabharwal (2025). ETHOS: Demystifying Performance, Energy, and Computational Efficiency in Virtualized 5G O-RAN Networks. ACM WiNTECH 2025.

Qing An, Divyanshu Pandey, Rahman Doost-Mohammady, Ashutosh Sabharwal, Srinivas Shakkottai (2024). Helix: A RAN Slicing Based Scheduling Framework for Massive MIMO Networks. Proc. ACM Netw. (CoNEXT 2024).

Zhecun Liu, Keerthi Priya Dasala, Di Mu, Rahman Doost-Mohammady, Edward W. Knightly (2023). M3A: Multipath Multicarrier Misinformation to Adversaries. ACM MobiCom 2023.

Qing An, Chris Dick, Santiago Segarra, Ashutosh Sabharwal, Rahman Doost-Mohammady (2023). A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks. IEEE TMLCN.

Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra (2022). Annealed Langevin Dynamics for Massive MIMO Detection. IEEE TWC.

Jian Ding, Rahman Doost-Mohammady, Anuj Kalia, Lin Zhong (2020). Agora: Real-time Massive MIMO Baseband Processing in Software. CoNEXT 2020.

Clayton Shepard, Rahman Doost-Mohammady, Ryan Guerra, Lin Zhong (2017). ArgosV3: An Efficient Many-Antenna Platform. ACM MobiCom 2017.