Zobrazeno 1 - 10
of 47 479
pro vyhledávání: '"CHEN, WEN"'
Intelligent reflecting surface (IRS) operating in the terahertz (THz) band has recently gained considerable interest due to its high spectrum bandwidth. Due to the exploitation of large scale of IRS, there is a high probability that the transceivers
Externí odkaz:
http://arxiv.org/abs/2410.08459
Movable antennas (MAs), which can be swiftly repositioned within a defined region, offer a promising solution to the limitations of fixed-position antennas (FPAs) in adapting to spatial variations in wireless channels, thereby improving channel condi
Externí odkaz:
http://arxiv.org/abs/2410.05912
Spatial multiplexing plays a significant role in improving the capacity of multiple-input multiple-output (MIMO) communication systems. To improve the spectral efficiency (SE) of a point-to-point MIMO system, we exploit the channel reconfiguration ca
Externí odkaz:
http://arxiv.org/abs/2410.04414
Autor:
Chen, Wen-Xiang
This study investigates quantum-corrected black hole solutions derived from f(R) gravity and explores their thermodynamic properties using the canonical ensemble framework. By incorporating higher-order f(R) corrections into classical black hole metr
Externí odkaz:
http://arxiv.org/abs/2410.05321
Autor:
Chen, Wen-Xiang
This paper investigates the interplay between the geometric and topological properties of spherically symmetric black hole metrics within Einstein gravity, emphasizing implications for Bose-Einstein Condensation (BEC). By analyzing metric functions,
Externí odkaz:
http://arxiv.org/abs/2410.05314
Publikováno v:
IEEE TCOM 2024
This paper presents a novel multi-stream downlink communication system that utilizes a transmissive reconfigurable intelligent surface (RIS) transceiver. Specifically, we elaborate the downlink communication scheme using time-modulated array (TMA) te
Externí odkaz:
http://arxiv.org/abs/2410.03243
This paper investigates a movable antenna (MA)-enabled wireless-powered communication network (WPCN), where multiple wireless devices (WDs) first harvest energy from the downlink (DL) signal broadcast by a hybrid access point (HAP) and then transmit
Externí odkaz:
http://arxiv.org/abs/2409.20485
The challenge of data scarcity hinders the application of deep learning in industrial surface defect classification (SDC), as it's difficult to collect and centralize sufficient training data from various entities in Industrial Internet of Things (II
Externí odkaz:
http://arxiv.org/abs/2409.15711
The Internet of Vehicles (IoV) network can address the issue of limited computing resources and data processing capabilities of individual vehicles, but it also brings the risk of privacy leakage to vehicle users. Applying blockchain technology can e
Externí odkaz:
http://arxiv.org/abs/2409.17287
Autor:
Chen, Wen-Xiang
In this study, we delve into the intricate mathematical frameworks essential for the renormalization of effective elastic models within complex physical systems. By integrating advanced tools such as Laurent series, residue theorem, winding numbers,
Externí odkaz:
http://arxiv.org/abs/2409.13775