Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Sudhanshu Arya"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 6381-6403 (2024)
With the development of communication technology, protocol design, and infrastructure implementation have become more complex, bringing significant security challenges to 5G and NextG systems. Fuzz testing is widely used to detect system vulnerabilit
Externí odkaz:
https://doaj.org/article/31ae7b40be464d858ce593e5cc82627c
Publikováno v:
IEEE Access, Vol 12, Pp 29175-29193 (2024)
Softwarization and virtualization in 5G and beyond necessitate thorough testing to ensure the security of critical infrastructure and networks. This involves identifying vulnerabilities and unintended emergent behaviors, from protocol designs to thei
Externí odkaz:
https://doaj.org/article/932d114f57fe47b7a24e65c07cc73ece
Autor:
Sudhanshu Arya, Yeon Ho Chung
Publikováno v:
ICT Express, Vol 9, Iss 6, Pp 1013-1018 (2023)
By leveraging the characteristics of both quantum encoding and classical data channel, we present a unique and novel multiuser optical communication system that utilizes fascinating properties of the structured light for information transmission. Spe
Externí odkaz:
https://doaj.org/article/6386c63e1a734d7cb053a3f546ab71c3
Publikováno v:
IEEE Access, Vol 11, Pp 116046-116064 (2023)
As the evolution of wireless communications advances rapidly, the next-generation (NextG) networks have undeniably become integral components of modern society. However, given the vast infrastructure requirement and the intricacy of their protocols,
Externí odkaz:
https://doaj.org/article/266942b0e33f4721a60b95da6118312d
Publikováno v:
ICT Express, Vol 7, Iss 3, Pp 361-365 (2021)
In this paper, we address the problem of joint transmit beamforming and power control for a multiuser multiple-input single-output (MISO) indoor optical downlink channel. We adopt a shot-noise limited Poisson channel with transmitting signals subject
Externí odkaz:
https://doaj.org/article/8c3bc11519f6442a9b771f7ce0080dd3
Publikováno v:
Drones, Vol 7, Iss 7, p 479 (2023)
We present a novel and first-of-its-kind information-theoretic framework for the key design consideration and implementation of a ground-to-unmanned Aerial Vehicle (UAV) (G2U) communication network with an aim to minimize end-to-end transmission dela
Externí odkaz:
https://doaj.org/article/e87040e84dff41d085c2c090b0ea5c01
Autor:
Sudhanshu Arya, Yeon Ho Chung
Publikováno v:
IEEE Access, Vol 9, Pp 118005-118018 (2021)
Motivated by unique atmospheric scattering properties of optical waves at petahertz frequencies, we present a novel maximal selective transmit diversity scheme based on the selection of maximum irradiance optical path with a continuous waveform detec
Externí odkaz:
https://doaj.org/article/1fe8cd27b050474fa37937c91a33b9f9
Autor:
Sudhanshu Arya, Yeon Ho Chung
Publikováno v:
IEEE Photonics Journal, Vol 12, Iss 6, Pp 1-12 (2020)
In multiuser optical wireless communications (OWC), the multiuser interference becomes significant as the number of users increases. This would lead to a poor quality of service with a low signal-to-interference-plus-noise-ratio (SINR) or even a fail
Externí odkaz:
https://doaj.org/article/c225c6ba3d8b42f9922909f2e3e3dc92
Autor:
Sudhanshu Arya, Yeon Ho Chung
Publikováno v:
IEEE Photonics Journal, Vol 12, Iss 5, Pp 1-18 (2020)
In this letter, we present a new real-time blind signal detection technique for indoor optical communications using a supervised learning framework in an artificial neural network (ANN). We model the optical channel as a time-varying doubly-stochasti
Externí odkaz:
https://doaj.org/article/e3eb4ea63ad74dfe9e70582c897b5098
Autor:
Sudhanshu Arya, Yeon-Ho Chung
Publikováno v:
IEEE Access, Vol 8, Pp 137356-137369 (2020)
Petahertz frequency bands have a unique characteristic of atmospheric scattering that enables non-line-of-sight (NLOS) communications. In this paper, we analyze the performance of petahertz wireless communications (PWC) with a novel statistical model
Externí odkaz:
https://doaj.org/article/7c127a2b7da34445afa71b4f95a6e830