no code implementations • 3 Feb 2024 • Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang, Max Hollingsworth, C. Robert Anderson, James V. Krogmeier, David J. Love
To alleviate these challenges, this paper introduces a novel simulation-enhanced data augmentation method for ML pathloss prediction.
no code implementations • 16 Oct 2023 • Byunghyun Lee, Anindya Bijoy Das, David J. Love, Christopher G. Brinton, James V. Krogmeier
Dual-functional radar-communication (DFRC) is a promising technology where radar and communication functions operate on the same spectrum and hardware.
no code implementations • 30 Apr 2023 • Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, James V. Krogmeier, Christopher G. Brinton
For dynamic sensor selection, two greedy selection strategies are proposed, each of which exploits properties revealed in the derived CRLB expressions.
1 code implementation • 16 Feb 2023 • Bharath Keshavamurthy, Yaguang Zhang, Christopher R. Anderson, Nicolo Michelusi, James V. Krogmeier, David J. Love
This paper details the design of an autonomous alignment and tracking platform to mechanically steer directional horn antennas in a sliding correlator channel sounder setup for 28 GHz V2X propagation modeling.
no code implementations • 10 Feb 2023 • Sneha Jha, Yaguang Zhang, Bongsuk Park, Seonghwan Cho, James V. Krogmeier, Tandra Bagchi, John E. Haddock
Automating pavement maintenance suggestions is challenging, especially for actionable recommendations such as patching location, depth and priority. It is common practice among State agencies to manually inspect road segments of interest and decide maintenance requirements based on the pavement condition index (PCI). However, standalone PCI only evaluates the pavement surface condition and coupled with the variability in human perception of pavement distress, limits the accuracy and quality of current pavement maintenance practices. Here, a need for multi-sensor data integrated with standardized pavement distress condition ratings is required. This study explores the possibility of estimating the appropriate pavement patching strategy (i. e., patching location, depth, and quantity) by integrating pavement structural and surface condition assessment with pavement specific ratings of distress. Especially, it combines pavement structural condition assessment parameter;falling weight deflectometer deflections along with surface condition assessment parameters;international roughness index, and cracking density for a better representation of overall pavement distress condition. Then, a pavement specific threshold-based patching suggestion algorithm is implemented to evaluate the pavement overall distress condition into a priority-based patching suggestion. The novelty in the use of pavement specific thresholds is placed on its data-driven ability to determine threshold values from current road condition measurements using a reliability concept validated by the theoretical pavement condition rating, pavement structural number. A web-based patching manager tool (PMT) was implemented to automate the patching suggestion procedure and visualize the results. Validated with road surface images obtained from three-dimensional laser sensors, PMT could successfully capture localized distresses in existing pavements.
no code implementations • 4 Jan 2022 • Tzu-Hsuan Chou, Nicolo Michelusi, David J. Love, James V. Krogmeier
6G operators may use millimeter wave (mmWave) and sub-terahertz (sub-THz) bands to meet the ever-increasing demand for wireless access.
1 code implementation • 14 Oct 2021 • Bharath Keshavamurthy, Yaguang Zhang, Christopher R. Anderson, Nicolo Michelusi, James V. Krogmeier, David J. Love
In this paper, we discuss the design of a sliding-correlator channel sounder for 28 GHz propagation modeling on the NSF POWDER testbed in Salt Lake City, UT.
no code implementations • 11 Aug 2021 • Yaguang Zhang, David J. Love, James V. Krogmeier, Christopher R. Anderson, Robert W. Heath, Dennis R. Buckmaster
Broadband access is key to ensuring robust economic development and improving quality of life.
no code implementations • 5 Aug 2020 • Tzu-Hsuan Chou, Nicolo Michelusi, David J. Love, James V. Krogmeier
A data tensor is constructed by collecting beam-training measurements on a subset of positions and beams, and a hybrid noisy tensor completion (HNTC) algorithm is proposed to predict the received power across the coverage area, which exploits both the spatial smoothness and the low-rank property of MIMO channels.