VLDB 2026 Research / reviewers in the wild / expert
Abhishek Adhikari
dblp:320/8735
· DBLP profile ↗
8ranked-venue papers
3as first author
8since 2021 · last 2026
0009-0001-5738-0337ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 7 · 3 first-author · 7 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and ApplicationsabstractWe present methods and applications for the development of digital twins (DT) for urban traffic management. While the majority of studies on the DT focus on its “eyes,” which is the emerging sensing and perception like object detection and tracking, what really distinguishes the DT from a traditional simulator lies in its “brain,” the prediction and decision making capabilities of extracting patterns and making informed decisions from what has been seen and perceived. In order to add value to urban transportation management, DTs need to be powered by artificial intelligence and complement with low-latency high-bandwidth sensing and networking technologies, in other words, cyberphysical systems. This paper can be a pointer to help researchers and practitioners identify challenges and opportunities for the development of DTs; a bridge to initiate conversations across disciplines; and a road map to exploiting potentials of DTs for diverse urban transportation applications. Yongjie Fu, Mehmet Kerem Türkcan, Mahshid Ghasemi, Zhaobin Mo, Chengbo Zang, Abhishek Adhikari, Zoran Kostic, Gil Zussman, Xuan Di |
IEEE Trans. Intell. Transp. Syst. | 6 |
| 2025 | Around-Corner and Over-Top 28 GHz Measurement in Manhattan: Path Loss and AoA for MU-MIMO
Abhishek Adhikari, Shivan Mukherjee, Aahan Mehta, Manav Kohli, Rodolfo Feick, Reinaldo A. Valenzuela, Dmitry Chizhik, Jinfeng Du, Gil Zussman |
INFOCOM | 1 |
| 2025 | mmWave Communications, Sensing, and Interference Mitigation
Abhishek Adhikari |
MobiSys | 1 |
| 2024 | 28 GHz Phased Array Interference Measurements and Modeling for a NOAA Microwave Radiometer in ManhattanabstractA microwave radiometer (MWR) at NOAA-CESSRST in Manhattan, NYC has experienced interference from nearby sources operating in the 5G FR2 n257 band (26.50--29.50 GHz). In this poster, we produce interference using a mobile 28 GHz IBM Phased Array Antenna Module (PAAM). The mobile PAAM leverages a software-defined radio which offers flexibility in varying center frequency, modulation, gain, bandwidth, time schedule, and more. In this poster, we show preliminary experiments which successfully created controlled interference to a MWR's 28 GHz channel which lead to distortion in some of the MWR final products, such as water vapor profile. We transmitted a 10 MHz bandwidth OFDM signal with varying amplitude, observing the highly sensitive MWR voltage response to fractional dB increments of the transmitter gain. The mobile PAAM is characterized in an anechoic chamber and MWR measurements are taken at various azimuth angles to help estimate the MWR antenna pattern. Future work will develop a Spectrum Consumption Model to help enable coexistence of MWRs and Beyond-5G networks. Abhishek Adhikari, Kevin Hermstein, Yonghua Wu, Thomas Legbandt, Carlos E. Caicedo Bastidas, Tingjun Chen, Fred Moshary, Ivan Seskar, Gil Zussman |
MobiCom | 1 |
| 2024 | Demo: Experimentation with Mobile 28 GHz Phased Array Antenna ModulesabstractWe present experiments using mobile 28 GHz Phased Array Antenna Modules (PAAMs), demonstrating their ability to perform beam steering with high granularity. The mobile node contains a 64-element IBM 28 GHz PAAM along with a USRP software defined radio, allowing for configuration of the transmit/receive (TX/RX) parameters. These parameters include beam shape, beam steering, and duty cycling. We demonstrate the capabilities of the mobile PAAMs by forming a wireless OFDM link between two mobile PAAMs. We then showcase the beam steering capabilities of the PAAM by performing beam sweeping on the RX PAAM to find the angle of arrival from the TX PAAM. A simple graphical user interface is presented for configuring the PAAMs. A tutorial is available online for users interested in experimentation with 28 GHz PAAMs*. Prasanthi Maddala, Jakub Kolodziejski, Abhishek Adhikari, Kevin Hermstein, Liao Zhu, Tingjun Chen, Ivan Seskar, Gil Zussman |
MobiCom | 3 |
| 2024 | Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Environmental Effects, and 90% CoverageabstractOutdoor-to-indoor signal propagation poses significant challenges to millimeter-wave link budgets. To gain insight into outdoor-to-indoor millimeter-wave at 28GHz, we conducted an extensive measurement campaign consisting of over 2,200 link measurements in West Harlem, New York City, covering seven highly diverse buildings. A path loss model constructed over all measured links shows an average of 30dB excess loss over free space at distances beyond 50m. We find the type of glass to be the dominant factor in outdoor-to-indoor loss, with 20dB observed difference between grouped scenarios with low-and high-loss glass. Other factors such as the presence of scaffolding, tree foliage, or elevated subway tracks, as well as difference in floor height are also found to have a 5–10dB impact. We show that for urban buildings with high-loss glass, outdoor-to-indoor downlink capacity up to 400Mb/s is supported for 90% of indoor customer premises equipment by a base station up to 40m away. For buildings with low-loss glass, such as our case study covering multiple classrooms of a public school, downlink capacity over 2.8/1.4Gb/s is possible from a base station 57/133m away within line-of-sight. We expect these results to help inform the planning of millimeter-wave networks targeting outdoor-to-indoor deployments in dense urban environments, as well as provide insight into the development of scheduling and beam management algorithms. Manav Kohli, Abhishek Adhikari, Gulnur Avci, Sienna Brent, Aditya Dash, Jared Moser, Sabbir Hossain, Igor Kadota, Carson Garland, Shivan Mukherjee, Rodolfo Feick, Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela, Gil Zussman |
IEEE/ACM Trans. Netw. | 2 |
| 2023 | Open-access millimeter-wave software-defined radios in the PAWR COSMOS testbed: Design, deployment, and experimentation
Tingjun Chen, Prasanthi Maddala, Panagiotis Skrimponis, Jakub Kolodziejski, Abhishek Adhikari, Hang Hu 0008, Zhihui Gao, Arun Paidimarri, Alberto Valdes-Garcia, Myung J. Lee, Sundeep Rangan, Gil Zussman, Ivan Seskar |
Comput. Networks | 5 |
| 2022 | Outdoor-to-indoor 28 GHz wireless measurements in manhattan: path loss, location impacts, and 90% coverageabstractOutdoor-to-indoor (OtI) signal propagation further challenges link budgets at millimeter-wave (mmWave). To gain insight into OtI mmWave at 28 GHz, we conducted an extensive measurement campaign consisting of over 2,000 link measurements in West Harlem, New York City, covering seven highly diverse buildings. A path loss model constructed over all links shows an average of 30 dB excess loss over free space at distances beyond 50 m. We find the type of glass to be the dominant factor in OtI loss, with 20 dB observed difference between clustered scenarios with low- and high-loss glass. Other factors, such as difference in floor height, are found to have an impact between 5--10 dB. We show that for urban buildings with high-loss glass, OtI data rates up to 400 Mb/s are supported for 90% of indoor users by a base station (BS) up to 49 m away. For buildings with low-loss glass, such as our case study covering multiple classrooms of a public school, data rates over 2.8/1.4 Gb/s are possible from a BS 68/175 m away when a line-of-sight path is available. We expect these results to be useful for the deployment of OtI mmWave networks in dense urban environments and the development of scheduling and beam management algorithms. Manav Kohli, Abhishek Adhikari, Gulnur Avci, Sienna Brent, Jared Moser, Sabbir Hossain, Aditya Dash, Igor Kadota, Rodolfo Feick, Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela, Gil Zussman |
MobiHoc | 2 |