Zobrazeno 1 - 10
of 840
pro vyhledávání: '"Channel prediction"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 5348-5363 (2024)
Cell-free massive MIMO networks have recently emerged as an attractive solution capable of solving the performance degradation at the cell edge of cellular networks. For scalability reasons, usercentric clusters were recently proposed to serve users
Externí odkaz:
https://doaj.org/article/a135b53a521145d2ba417fc09d1163d4
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 5289-5305 (2024)
Channel prediction compensates for outdated channel state information in multiple-input multiple-output (MIMO) systems. Machine learning (ML) techniques have recently been implemented to design channel predictors by leveraging the temporal correlatio
Externí odkaz:
https://doaj.org/article/22a48b6f82e84a5e9e91ff1d1d1d1e47
Autor:
Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 1059-1072 (2024)
Millimeter-wave (MmWave) channel characteristics are quite different from sub-6 GHz frequency bands. The major differences include higher path loss and sparser multipath components (MPCs), resulting in more significant time-varying characteristics in
Externí odkaz:
https://doaj.org/article/eeb412f3d58a462582190dd0bdbf03f7
Improved spectrum prediction model for cognitive radio networks using hybrid deep learning technique
Autor:
M.G. Sumithra, M. Suriya
Publikováno v:
International Journal of Intelligent Networks, Vol 5, Iss , Pp 286-292 (2024)
Cognitive Radio (CR) technology has been highlighted as one of the most likely answers to the issue of spectrum shortage with the rise of fifth generation and beyond communication. Secondary users (SUs) in cognitive radio networks (CRN) must continuo
Externí odkaz:
https://doaj.org/article/13ba18b0e48e4a7eab95de3561809dfb
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 5, Iss 2, Pp 495-506 (2024)
For 5G/6G system simulations and radio planning the availability of both accurate and run-time efficient channel predictors is required. This paper presents a 3D ray tracing channel predictor, which takes into account the relevant propagation phenome
Externí odkaz:
https://doaj.org/article/c49ae7957b304a60addb8821454e2255
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 248-256 (2024)
Channel state information (CSI) is crucial for enhancing the performance of wireless systems by allowing to adjust the transmission strategies based on the current channel conditions. However, obtaining precise CSI is difficult because of the fast-ch
Externí odkaz:
https://doaj.org/article/aa44b5417c254b8e9ce9974c07d34a95
Publikováno v:
IEEE Access, Vol 12, Pp 329-338 (2024)
A key feature of 5G systems is the Ultra-Reliable Low-Latency Communication (URLLC), which can be used for remote surgery, smart grids, industrial control, etc. URLLC requires millisecond-level delays and very high reliability, i.e., less than $10^{-
Externí odkaz:
https://doaj.org/article/485e6b4273924a7a911c9983b5ec0d81
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
A data-driven channel prediction method for distribution automation master is proposed to address the poor quality of communication network and communication system transmission problems in distribution network communication. In this paper, an adapti
Externí odkaz:
https://doaj.org/article/5bb179c99491447da5e95ab2c5b4d6e6
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1546 (2024)
Underwater acoustic (UWA) channel prediction technology, as an important topic in UWA communication, has played an important role in UWA adaptive communication network and underwater target perception. Although many significant advancements have been
Externí odkaz:
https://doaj.org/article/611cc8e1f7a44e9b8738c8785ad066c9
Autor:
Saba Dehghanpour, Mahdi Majidi
Publikováno v:
هوش محاسباتی در مهندسی برق, Vol 13, Iss 4, Pp 15-28 (2022)
The wireless body area network (WBAN) is one of the applications of the Internet of things (IoT) for healthcare, which monitors human physiological parameters. In this paper, a two-objective optimization problem is designed to maximize the sum-throug
Externí odkaz:
https://doaj.org/article/35f2a38dd7e642e8aaa4a13a80d8a091