Demo Data from EDBT 2026 / reviewers in the wild / expert
Oveys Delafrooz Noroozi
dblp:394/3391
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0001-0611-0935ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › signal processing for communications › array signal processing
array calibration |
0.8 | 1 | 2024 | Zero-Shot Accurate mmWave Antenna Array Calibration in the Wild · MobiCom 2024 |
Physical-layer communications
beamforming |
0.8 | 1 | 2024 | Zero-Shot Accurate mmWave Antenna Array Calibration in the Wild · MobiCom 2024 |
Methods — techniques the papers use, named apart from their topics
eigendecomposition · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Zero-Shot Accurate mmWave Antenna Array Calibration in the WildabstractmmWave antenna array calibration is a necessary yet tedious and costly process in manufacturing to capture the non-idealities in phased arrays, in order to obtain codebooks for accurate and stable beam steering. Unfortunately, predefined codebooks provided by manufacturers to steer beams in a given set of directions do not support the arbitrary beam shapes required for various mmWave communication, sensing, and security applications. To create arbitrary beam patterns, one needs to first find the unknown calibration vector for the particular phased array in use. In this paper, we introduce EiCal, a novel zero-shot technique that leverages the beamforming codebook advertised by the manufacturer to extract the calibration vector at zero cost (i.e., with no additional measurements). The key idea is that the unknown desired calibration vector can be obtained via an appropriately designed eigen-decomposition of the given codebook. We experimentally demonstrate the efficacy of EiCal on a 60 GHz mmWave array for two scenarios: angle estimation using compressive pseudorandom beams, and simultaneous steering of beams and nulls. Our results also point to potential simplifications in the calibration process at the manufacturer. Oveys Delafrooz Noroozi, Heyu Guo, Ruiyi Shen, Zijian Shao, Haoze Chen, Kaushik Sengupta, Yasaman Ghasempour, Upamanyu Madhow |
MobiCom | 1 |