Zobrazeno 1 - 10
of 496
pro vyhledávání: '"Love, P. J."'
As the number of low Earth orbit (LEO) satellites rapidly increases, the consideration of frequency sharing or cooperation between geosynchronous Earth orbit (GEO) and LEO satellites is gaining attention. In this paper, we consider a hybrid GEO-LEO s
Externí odkaz:
http://arxiv.org/abs/2410.14902
Autor:
Arun, Ashwin Natraj, Lee, Byunghyun, Castiblanco, Fabio A., Buckmaster, Dennis R., Wang, Chih-Chun, Love, David J., Krogmeier, James V., Butt, M. Majid, Ghosh, Amitava
One of the most intriguing 6G vertical markets is precision agriculture, where communications, sensing, control, and robotics technologies are used to improve agricultural outputs and decrease environmental impact. Ambient IoT (A-IoT), which uses a n
Externí odkaz:
http://arxiv.org/abs/2409.12281
We present an error mitigation strategy composed of Echo Verification (EV) and Clifford Data Regression (CDR), the combination of which allows one to learn the effect of the quantum noise channel to extract error mitigated estimates for the expectati
Externí odkaz:
http://arxiv.org/abs/2408.07439
Autor:
Wang, Qingfeng, Zhukas, Liudmila, Miao, Qiang, Dalvi, Aniket S., Love, Peter J., Monroe, Christopher, Chong, Frederic T., Ravi, Gokul Subramanian
To enhance the variational quantum eigensolver (VQE), the CAFQA method can utilize classical computational capabilities to identify a better initial state than the Hartree-Fock method. Previous research has demonstrated that the initial state provide
Externí odkaz:
http://arxiv.org/abs/2408.06482
Matrix computations are a fundamental building-block of edge computing systems, with a major recent uptick in demand due to their use in AI/ML training and inference procedures. Existing approaches for distributing matrix computations involve allocat
Externí odkaz:
http://arxiv.org/abs/2408.05152
Autor:
DeBrota, John B., Love, Peter J.
We apply a Bayesian agent-based framework inspired by QBism to iterations of two quantum games, the CHSH game and the quantum prisoners' dilemma. In each two-player game, players hold beliefs about an amount of shared entanglement and about the actio
Externí odkaz:
http://arxiv.org/abs/2408.02058
Opportunistic spectrum access has the potential to increase the efficiency of spectrum utilization in cognitive radio networks (CRNs). In CRNs, both spectrum sensing and resource allocation (SSRA) are critical to maximizing system throughput while mi
Externí odkaz:
http://arxiv.org/abs/2404.14319
Recently, deep learning approaches have provided solutions to difficult problems in wireless positioning (WP). Although these WP algorithms have attained excellent and consistent performance against complex channel environments, the computational com
Externí odkaz:
http://arxiv.org/abs/2404.15374
A recent line of research has been investigating deep learning approaches to wireless positioning (WP). Although these WP algorithms have demonstrated high accuracy and robust performance against diverse channel conditions, they also have a major dra
Externí odkaz:
http://arxiv.org/abs/2402.09580
Autor:
Mohamed, Ahmed P., Lee, Byunghyun, Zhang, Yaguang, Hollingsworth, Max, Anderson, C. Robert, Krogmeier, James V., Love, David J.
Machine learning (ML) offers a promising solution to pathloss prediction. However, its effectiveness can be degraded by the limited availability of data. To alleviate these challenges, this paper introduces a novel simulation-enhanced data augmentati
Externí odkaz:
http://arxiv.org/abs/2402.01969