Zobrazeno 1 - 10
of 656
pro vyhledávání: '"Adachi, Fumiyuki"'
In this paper, we conduct a theoretical analysis of how to integrate reconfigurable intelligent surfaces (RIS) with cooperative non-orthogonal multiple access (NOMA), considering URLLC. We consider a downlink two-user cooperative NOMA system employin
Externí odkaz:
http://arxiv.org/abs/2410.17609
Autor:
Feng, Yunpeng, Chen, Jian, Lv, Lu, Zhou, Yuchen, Yang, Long, Al-Dhahir, Naofal, Adachi, Fumiyuki
We investigate covert communication in an intelligent reflecting surface (IRS)-assisted symbiotic radio (SR) system under the parasitic SR (PSR) and the commensal SR (CSR) cases, where an IRS is exploited to create a double reflection link for legiti
Externí odkaz:
http://arxiv.org/abs/2410.10276
Autor:
Yao, Junteng, Zheng, Jianchao, Wu, Tuo, Jin, Ming, Yuen, Chau, Wong, Kai-Kit, Adachi, Fumiyuki
This correspondence investigates the novel fluid antenna system (FAS) technology, combining with reconfigurable intelligent surface (RIS) for wireless communications, where a base station (BS) communicates with a FAS-enabled user with the assistance
Externí odkaz:
http://arxiv.org/abs/2408.13447
This paper examines a fluid antenna (FA)-assisted simultaneous wireless information and power transfer (SWIPT) system. Unlike traditional SWIPT systems with fixed-position antennas (FPAs), our FA-assisted system enables dynamic reconfiguration of the
Externí odkaz:
http://arxiv.org/abs/2407.11307
Specific emitter identification (SEI) is a potential physical layer authentication technology, which is one of the most critical complements of upper layer authentication. Radio frequency fingerprint (RFF)-based SEI is to distinguish one emitter from
Externí odkaz:
http://arxiv.org/abs/2212.00252
Rogue emitter detection (RED) is a crucial technique to maintain secure internet of things applications. Existing deep learning-based RED methods have been proposed under the friendly environments. However, these methods perform unstable under low si
Externí odkaz:
http://arxiv.org/abs/2212.00242
Specific emitter identification (SEI) plays an increasingly crucial and potential role in both military and civilian scenarios. It refers to a process to discriminate individual emitters from each other by analyzing extracted characteristics from giv
Externí odkaz:
http://arxiv.org/abs/2211.15379
Autor:
Zhang, Yibin, Sun, Jinlong, Gui, Guan, Lin, Yun, Gacanin, Haris, Sari, Hikmet, Adachi, Fumiyuki
The potential advantages of intelligent wireless communications with millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability of instantaneous channel state information (CSI) at the base station (BS). H
Externí odkaz:
http://arxiv.org/abs/2208.06570
Specific emitter identification (SEI) is a highly potential technology for physical layer authentication that is one of the most critical supplement for the upper-layer authentication. SEI is based on radio frequency (RF) features from circuit differ
Externí odkaz:
http://arxiv.org/abs/2207.06592
Autor:
Zhang, Shupeng, Zhang, Yibin, Zhang, Xixi, Sun, Jinlong, Lin, Yun, Gacanin, Haris, Adachi, Fumiyuki, Gui, Guan
Radio Frequency Fingerprint (RFF) identification on account of deep learning has the potential to enhance the security performance of wireless networks. Recently, several RFF datasets were proposed to satisfy requirements of large-scale datasets. How
Externí odkaz:
http://arxiv.org/abs/2205.12577