Zobrazeno 1 - 10
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pro vyhledávání: '"Kundu, Lopamudra"'
Autor:
Lin, Xingqin, Kundu, Lopamudra, Dick, Chris, Galdon, Maria Amparo Canaveras, Vamaraju, Janaki, Dutta, Swastika, Raman, Vinay
The rise of generative artificial intelligence (GenAI) is transforming the telecom industry. GenAI models, particularly large language models (LLMs), have emerged as powerful tools capable of driving innovation, improving efficiency, and delivering s
Externí odkaz:
http://arxiv.org/abs/2408.09031
As 5G deployments continue throughout the world, concerns regarding its energy consumption have gained significant traction. This article focuses on radio access networks (RANs) which account for a major portion of the network energy use. Firstly, we
Externí odkaz:
http://arxiv.org/abs/2402.11993
Radio access networks (RAN) are going through a paradigm shift towards interoperable, intelligent, software-defined, and cloud-native open RAN solutions. A key challenge towards the adoption and deployment of open RAN at scale is performance. Hence,
Externí odkaz:
http://arxiv.org/abs/2305.09588
Digital twin networks (DTNs) are real-time replicas of physical networks. They are emerging as a powerful technology for design, diagnosis, simulation, what-if-analysis, and artificial intelligence (AI)/machine learning (ML) driven real-time optimiza
Externí odkaz:
http://arxiv.org/abs/2212.02032
Artificial intelligence (AI) has emerged as a powerful technology that improves system performance and enables new features in 5G and beyond. Standardization, defining functionality and interfaces, is essential for driving the industry alignment requ
Externí odkaz:
http://arxiv.org/abs/2209.04987
Akademický článek
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The next generation wireless communication system, 5G, or New Radio (NR) will provide access to information and sharing of data anywhere, anytime by various users and applications with diverse multi-dimensional requirements. Physical Uplink Control C
Externí odkaz:
http://arxiv.org/abs/1809.09671
Akademický článek
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Publikováno v:
IEEE Communications Standards Magazine; 2023, Vol. 7 Issue: 4 p76-83, 8p
Autor:
Kundu Lopamudra, Brian L. Hughes
Publikováno v:
IEEE Transactions on Communications. 65:4694-4703
Mutual coupling among receive antennas can profoundly reduce capacity in multiple-input, multiple-output (MIMO) systems. Prior work has shown that these losses can often be significantly reduced by using sophisticated antenna matching at the receiver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0255a5ac325bca793e5a4c0c01a1f657
https://doi.org/10.1109/tcomm.2017.2728063
https://doi.org/10.1109/tcomm.2017.2728063