Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Communication channel equalisation and identification"'
Publikováno v:
IET Communications, Vol 15, Iss 20, Pp 2513-2525 (2021)
Abstract In this article, we propose a new pilot mapping method to jointly estimate the channel state information of the user while reducing the interference effects of multiuser multicell mobile scenarios. The problem of achieving the wireless perfo
Externí odkaz:
https://doaj.org/article/49a13bdfaa9b4b6f8cbdfce3a4b47671
Publikováno v:
IET Communications, Vol 15, Iss 20, Pp 2564-2574 (2021)
Abstract The secrecy rate of two‐way untrusted relay networks with imperfect channel state information based on SWIPT is investigated when multiple relays harvest energy from two sources. Despite assisting in information forwarding, the relays are
Externí odkaz:
https://doaj.org/article/73f15551b0e442959c8041a36aee552a
Autor:
Alvaro Javier Ortega
Publikováno v:
IET Communications, Vol 15, Iss 20, Pp 2526-2536 (2021)
Abstract Communications using the millimeter wave (mmWave) spectrum are a mainstream technology of the next generation systems due to their huge available bandwidth. However, the mmWave band will experience much more propagation loss than a low‐fre
Externí odkaz:
https://doaj.org/article/ec65856247af4e5493fd3fb796af9163
Autor:
Shaoguo Xie, Liefu Ai
Publikováno v:
IET Communications, Vol 15, Iss 19, Pp 2482-2491 (2021)
Abstract Sum‐rate optimization problem is a key issue in a time‐varying multi‐user multi‐input multi‐output (MU‐MIMO) distributed antenna system. Channel precoding matrix is the key technology in the achievable sum‐rate optimization pro
Externí odkaz:
https://doaj.org/article/229fad6790bc4db29c861cd8d8dfaad6
Publikováno v:
IET Communications, Vol 15, Iss 16, Pp 2125-2138 (2021)
Abstract In cell‐free massive multiple‐input‐multiple‐output (CF‐MMIMO) systems, a massive number of access points, mastered by central processing units are distributed in a coverage area to serve much smaller number of user equipments (UEs
Externí odkaz:
https://doaj.org/article/a203c7aa0aa6497a957d83f7260456c4
Publikováno v:
IET Communications, Vol 15, Iss 17, Pp 2159-2175 (2021)
Abstract In the linear minimum mean square error (LMMSE) estimation for orthogonal frequency division multiplexing (OFDM) systems, the channel correlation function (CCF) is required. Some methods have been proposed to calculate the CCF. Instead of pr
Externí odkaz:
https://doaj.org/article/2be9a524948b456690ceb6b50f453b80
Publikováno v:
IET Communications, Vol 15, Iss 17, Pp 2252-2258 (2021)
Abstract Recently, deep learning (DL) has been successfully applied in computer vision and natural language processing. The communication physical layer based on deep learning has received widespread attention. Introducing domain‐knowledge into neu
Externí odkaz:
https://doaj.org/article/1e8d86730be1433286c6c8385a9f6cd9
Publikováno v:
IET Communications, Vol 15, Iss 17, Pp 2139-2150 (2021)
Abstract Orthogonal frequency division multiplexing (OFDM) has been widely used in wireless communication systems due to its robustness against the frequency selectivity of fading channels. It provides optimal performance and it also meets the requir
Externí odkaz:
https://doaj.org/article/4911bf186d68424fb6781e30247c4305
Publikováno v:
IET Communications, Vol 15, Iss 15, Pp 1917-1929 (2021)
Abstract This paper considers the problem of joint timing‐offset and channel estimation for physical‐layer network coding systems operating in frequency‐selective environments. Three different algorithms are investigated for the joint estimatio
Externí odkaz:
https://doaj.org/article/3cd882745c50456aae6a5c0ec5c47b46
Publikováno v:
IET Communications, Vol 15, Iss 15, Pp 1950-1962 (2021)
Abstract Deep learning (DL) has been applied to digital signal modulation identification (DSMI) due to its powerful feature learning ability. However, most of the existing DL‐based DSMI methods are limited to specific experimental scene relating to
Externí odkaz:
https://doaj.org/article/a37333ec191b486799da1efb043b9df9