Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Cunhua Pan"'
Publikováno v:
IET Communications, Vol 17, Iss 4, Pp 460-468 (2023)
Abstract This paper studies the beamforming design for an active reconfigurable intelligent surface (RIS) aided non‐orthogonal multiple access (NOMA) network. It aims to minimize the transmission power while satisfying the requirement of the qualit
Externí odkaz:
https://doaj.org/article/8b51198036af409f80c815cf2d301f16
Publikováno v:
IET Communications, Vol 17, Iss 1, Pp 98-109 (2023)
Abstract This paper focuses on a reconfigurable intelligent surface (RIS)‐aided full‐duplex multi‐user massive multiple‐input multiple‐output system with transceiver hardware impairments (THWIs). Different from the existing works, the two
Externí odkaz:
https://doaj.org/article/0566a3c395c2408982cd093f326ec369
Publikováno v:
Intelligent and Converged Networks, Vol 3, Iss 1, Pp 86-102 (2022)
An intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel wherein the angular direction of the eavesdropper (ED) is aligned with a legitimate user. A two-phase communication system under a
Externí odkaz:
https://doaj.org/article/e6c31251c9944a2fa91033ea075e9682
Publikováno v:
IEEE Access, Vol 10, Pp 19443-19446 (2022)
Reconfigurable intelligent surface (RIS)-aided wireless communications is a hot research topic in academic and industry communities since it can enhance both the spectrum and energy efficiency of wireless systems by artificially reconfiguring the wir
Externí odkaz:
https://doaj.org/article/df29ed0226344d6aacf97cfbeb991487
Publikováno v:
Machines, Vol 10, Iss 10, p 873 (2022)
Fault diagnosis of industrial equipments is extremely important for the safety requirements of modern production processes. Lately, deep learning (DL) has been the mainstream fault diagnosis tool due to its powerful representational ability in learni
Externí odkaz:
https://doaj.org/article/c16903e8bf2844caa70ba7ee251794d0
Publikováno v:
IEEE Access, Vol 7, Pp 14537-14548 (2019)
This paper focuses on the coverage probability and ergodic capacity for millimeter wave (mmWave) user-centric dense networks, where multiple access points (APs) consist of a virtual cell for each user equipment and transmit data with mmWave antennas
Externí odkaz:
https://doaj.org/article/3d5f3f6c5ef04b2c8dc3643f8db97c6f
Autor:
Hui Zhang, Cunhua Pan, Yuanxin Wang, Min Xu, Fu Zhou, Xin Yang, Lou Zhu, Chao Zhao, Yangfan Song, Hongwei Chen
Publikováno v:
Energies, Vol 15, Iss 15, p 5385 (2022)
Aiming at the typical faults in the coal mills operation process, the kernel extreme learning machine diagnosis model based on variational model feature extraction and kernel principal component analysis is offered. Firstly, the collected signals of
Externí odkaz:
https://doaj.org/article/480e011e9f664438a9b03c24a303bbbe
Publikováno v:
IEEE Access, Vol 6, Pp 5666-5677 (2018)
In cognitive radio networks, cooperative spectrum sensing (CSS) is generally adopted for improving spectrum sensing accuracy to increase spectrum utilization and avoid interference with the primary users. However, some malicious secondary users (SUs)
Externí odkaz:
https://doaj.org/article/78b29ae013034c0f8c3714a1df742aa7
Publikováno v:
IEEE Access, Vol 6, Pp 15969-15979 (2018)
In this paper, we study the power control and resource allocation problem in downlink orthogonal frequency division multiplexing networks, where mutual interference exists among cells. This mutual relation is characterized by the load coupling model.
Externí odkaz:
https://doaj.org/article/1eff1cd3a6b641ea9e53d663a3899d3d
In this paper, we consider the problem of maximizing the weighted sum energy efficiency (WS-EE) for multi-input single-output (MISO) interference channels (ICs) which is well acknowledged as general models of heterogeneous networks (HetNets), multice
Externí odkaz:
http://arxiv.org/abs/1512.04999