Nitisha Singh

Nitisha Singh
Verified
Nitisha verified their affiliation via an institutional email.
Verified
Nitisha verified their affiliation via an institutional email.
  • Bachelor of Engineering
  • Graduate Reserach Assistant at Virginia Tech

About

6
Publications
2,053
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
6
Citations
Current institution
Virginia Tech
Current position
  • Graduate Reserach Assistant
Additional affiliations
July 2018 - May 2022
National Institute of Technology Durgapur
Position
  • UG Student
Education
July 2023
Virginia Tech
Field of study
  • Electrical Engineering
July 2018 - May 2022
National Institute of Technology Durgapur
Field of study
  • Electronics and Communication Engineering

Publications

Publications (6)
Preprint
Full-text available
In this letter, we examine the effect of misalignment angle on cluster-based power delay profile (PDP) modeling for a 60 GHz millimeter-wave uplink. The analysis uses real-world data, where fixed uplink scenarios are realized by placing the transmitter at ground level and the receiver at the building level. Both outdoor-to-indoor (O2I) and outdoor-...
Preprint
Full-text available
Semantic communication (SC) is recognized as a promising approach for enabling reliable communication with minimal data transfer while maintaining seamless connectivity for a group of wireless users. Unlocking the advantages of SC for multi-user cases requires revisiting how communication and computing resources are allocated. This reassessment sho...
Article
Full-text available
In this paper, we examine the effect of misalignment angle on cluster-based power delay profile modeling for a 60 GHz millimeter-wave (mmWave) uplink. The analysis uses real-world data, where fixed uplink scenarios are realized by placing the transmitter at ground level and the receiver at the building level. Both outdoor-to-indoor (O2I) and outdoo...
Preprint
Full-text available
The COVID-19 pandemic has affected millions and congested healthcare systems globally. Hence an objective severity assessment is crucial in making therapeutic decisions judiciously. Computed Tomography (CT)-scans can provide demarcating features to identify the severity of pneumonia, commonly associated with COVID-19, in the affected lungs. Here, a...

Network

Cited By