Zobrazeno 1 - 10
of 96
pro vyhledávání: '"ZHOU, Conghao"'
Autor:
Xu, Shuo, Huang, Song, Leauthaud, Alexie, Diemer, Benedikt, Leidig, Katya, Cannarozzo, Carlo, Zhou, Conghao
Recent observations suggest that the extended stellar halos of low-redshift massive galaxies are tightly connected to the assembly of their dark matter halos. In this paper, we use the Illustris, IllustrisTNG100, and IllustrisTNG300 simulations to co
Externí odkaz:
http://arxiv.org/abs/2412.03406
In this article, we propose a digital agent (DA)-assisted network management framework for future sixth generation (6G) networks considering users' quality of experience (QoE). Particularly, a novel QoE metric is defined by incorporating the impact o
Externí odkaz:
http://arxiv.org/abs/2412.14177
Resource slicing in low Earth orbit satellite networks (LSN) is essential to support diversified services. In this paper, we investigate a resource slicing problem in LSN to reserve resources in satellites to achieve efficient resource provisioning.
Externí odkaz:
http://arxiv.org/abs/2411.03635
Autor:
Kwiecien, Matthew, Jeltema, Tesla, Leauthaud, Alexie, Huang, Song, Rykoff, Eli, Heydenreich, Sven, Lange, Johannes, Everett, Spencer, Zhou, Conghao, Kelly, Paige, Zhang, Yuanyuan, Shin, Tae-Hyeon, Golden-Marx, Jesse, Marshall, J. L., Aguena, M., Allam, S. S., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Lee, S., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Samuroff, S., Sanchez, E., Santiago, B., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vikram, V., Weaverdyck, N., Wiseman, P.
The number density and redshift evolution of optically selected galaxy clusters offer an independent measurement of the amplitude of matter fluctuations, $S_8$. However, recent results have shown that clusters chosen by the redMaPPer algorithm show r
Externí odkaz:
http://arxiv.org/abs/2410.20205
In this article, we present a novel user-centric service provision for immersive communications (IC) in 6G to deal with the uncertainty of individual user behaviors while satisfying unique requirements on the quality of multi-sensory experience. To t
Externí odkaz:
http://arxiv.org/abs/2410.02688
Autor:
Lee, Andy, Wu, Hao-Yi, Salcedo, Andrés N., Sunayama, Tomomi, Costanzi, Matteo, Myles, Justin, Cao, Shulei, Rozo, Eduardo, To, Chun-Hao, Weinberg, David H., Yang, Lei, Zhou, Conghao
Galaxy clusters identified in optical imaging surveys suffer from projection effects: physically unassociated galaxies along a cluster's line of sight can be counted as its members and boost the observed richness (the number of cluster members). To m
Externí odkaz:
http://arxiv.org/abs/2410.02497
Future 6G networks are envisioned to support mobile augmented reality (MAR) applications and provide customized immersive experiences for users via advanced service provision. In this paper, we investigate user-centric service provision for edge-assi
Externí odkaz:
http://arxiv.org/abs/2409.00324
Publikováno v:
IEEE Internet Things J. (Volume: 11, Issue: 7, 01 April 2024)
Device-edge collaboration on deep neural network (DNN) inference is a promising approach to efficiently utilizing network resources for supporting artificial intelligence of things (AIoT) applications. In this paper, we propose a novel digital twin (
Externí odkaz:
http://arxiv.org/abs/2405.17664
Satellite-terrestrial integrated networks (STIN) are envisioned as a promising architecture for ubiquitous network connections to support diversified services. In this paper, we propose a novel resource slicing scheme with cross-cell coordination in
Externí odkaz:
http://arxiv.org/abs/2404.13158
Generative artificial intelligence (GAI) and digital twin (DT) are advanced data processing and virtualization technologies to revolutionize communication networks. Thanks to the powerful data processing capabilities of GAI, integrating it into DT is
Externí odkaz:
http://arxiv.org/abs/2404.03025