Publications
Summary
My research interests lie in real-time algorithm design and resource allocation for wireless networks, with a focus on optimization. Specifically, my research emphasizes:
- Handling uncertainty: I work on optimizing wireless network resources under channel uncertainty. My goal is to provide performance guarantees, such as interference protection for primary users in spectrum sharing (CBRS) and data rate guarantees for UEs in MU-MIMO settings. To model channel uncertainty, I explore a novel small-data approach, leveraging limited data samples to offer guarantees without assuming an underlying channel distribution.
- Real-time algorithms: I also focus on developing algorithms that meet real-time (wall-clock) requirements for 5G applications. For example, I design scheduling algorithms for 5G base stations that satisfy the 1 ms timing requirement under numerology 0, as mandated by the 5G standard.
In addition, I collaborate closely with colleagues on projects related to satellite communication, applying Deep Reinforcement Learning (DRL) to eMBB/URLLC multiplexing, and enhancing URLLC for industrial automation. You can view more of my work on my Google Scholar profile.
Journal and Magazine Papers
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[J1] S. Acharya, S. Li, N. Jiang, W. Xie, W. Lou, and Y.T. Hou, "Small Data Big Result: A New Approach to Tackle Channel Uncertainty with Limited Data Samples," submitted to IEEE Wireless Communications Magazine
Conference Papers
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[C3] S. Acharya, S. Li, Y. Wu, N. Jiang, W. Lou, and Y.T. Hou, “Rudra: Minimizing Spectrum Usage With Data Rate Guarantee in Next-G Communications,” Accepted at IEEE MILCOM 2024
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[C2] E. Ghoreishi, B. Abolhassani, Y. Huang, S. Acharya, W. Lou, and Y.T. Hou, “Cyrus: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN,” Proc. IEEE ICCCN, pp. 1-9, Kailua-Kona, HI, USA, 2024
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[C1] S. Acharya, S. Li, N. Jiang, Y. Wu, Y.T. Hou, W. Lou, and W. Xie, “Mitra: An O-RAN based Real-Time Solution for Coexistence between General and Priority Users in CBRS,” Proc. IEEE MASS, pp. 295-303, Toronto, Canada, 25-27 Sept. 2023