Reshma Prasad

Postdoctoral Research Fellow

Education

  • Ph.D. in Computer Science & Engineering - Indian Institute of Technology Palakkad (2024)
  • M. Tech. in Computer Science - Mahatma Gandhi University, Kottayam (2015)
  • B. Tech. in Computer Science & Engineering - Amrita Vishwa Vidyapeetham (2010)

Research Interests

  • Open Radio Access Network (O-RAN)
  • 5G and beyond Cellular Networks
  • Analysis and Optimization
  • Resource allocation

Bio

Reshma Prasad is a postdoctoral research fellow at Northeastern University, Boston, MA. She received the Ph.D degree in Computer Science & Engineering from Indian Institute of Technology Palakkad in July 2024. During her PhD, she worked on network slicing techniques for 5G and beyond, focusing on optimizing resource allocation strategies to enhance Quality of Service (QoS). Her research continues to explore AI-driven analysis and optimization to address complex challenges in in 5G and beyond networks.

Publications

R. Prasad and A. Sunny. "QoS-Aware Scheduling in 5G Wireless Base Stations", IEEE/ACM Transactions on Networking (2024), DOI:10.1109/TNET.2023.3342867
R. Prasad and A. Sunny. "Scheduling Slice Requests in 5G Networks", IEEE/ACM Transactions on Networking (2023), DOI:10.1109/TNET.2023.3274480

Network slicing is a 5G paradigm that enables the creation of on-demand logical networks over shared physical infrastructure. In this paper, we present a framework that allows users to make advance slice reservations with the End-to-End Orchestrator (EEO). Our reservation mechanism enables the EEO to make admission decisions instantly upon request arrival, providing guarantees as to when the request can be enabled. We then proceed to address a relevant revenue maximization problem through an optimal solution, which has factorial time complexity. We also propose a low-complexity algorithm that can efficiently allocate resources for the online version of the problem. We conduct evaluations that demonstrate how the reservation mechanism can potentially improve EEO’s revenue. Additionally, we conduct a study on scenarios where the arrival rates of slice requests exhibit a positive correlation with reservation discounts provided by EEO.

Link