Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Chen, Guangji"'
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
Federated learning (FL) based on the centralized design faces both challenges regarding the trust issue and a single point of failure. To alleviate these issues, blockchain-aided decentralized FL (BDFL) introduces the decentralized network architectu
Externí odkaz:
http://arxiv.org/abs/2406.00752
As an emerging artificial intelligence technology, graph neural networks (GNNs) have exhibited promising performance across a wide range of graph-related applications. However, information exchanges among neighbor nodes in GNN pose new challenges in
Externí odkaz:
http://arxiv.org/abs/2405.05802
The integration of intelligent reflecting surface (IRS) into over-the-air computation (AirComp) is an effective solution for reducing the computational mean squared error (MSE) via its high passive beamforming gain. Prior works on IRS aided AirComp g
Externí odkaz:
http://arxiv.org/abs/2405.05549
In this study, we explore integrated sensing and communication (ISAC) networks to strike a more effective balance between sensing and communication (S&C) performance at the network scale. We leverage stochastic geometry to analyze the S&C performance
Externí odkaz:
http://arxiv.org/abs/2401.04918
In this work, we study integrated sensing and communication (ISAC) networks with the aim of effectively balancing sensing and communication (S&C) performance at the network level. Focusing on monostatic sensing, the tool of stochastic geometry is exp
Externí odkaz:
http://arxiv.org/abs/2311.09052
With the emerging environment-aware applications, ubiquitous sensing is expected to play a key role in future networks. In this paper, we study a 3-dimensional (3D) multi-target localization system where multiple intelligent reflecting surfaces (IRSs
Externí odkaz:
http://arxiv.org/abs/2310.15574
Autor:
Chen, Guangji, Wu, Qingqing, Chen, Wen, Hou, Yanzhao, Jian, Mengnan, Zhang, Shunqing, Li, Jun
We investigate the capacity of a broadcast channel with a multi-antenna base station (BS) sending independent messages to multiple users, aided by IRSs with N elements. In particular, both the distributed and centralized IRS deployment architectures
Externí odkaz:
http://arxiv.org/abs/2310.01742
Autor:
Zhao, Yapeng, Wu, Qingqing, Chen, Guangji, Chen, Wen, Liu, Ruiqi, Zhao, Ming-Min, Wu, Yuan, Ma, Shaodan
The digital twin edge network (DITEN) aims to integrate mobile edge computing (MEC) and digital twin (DT) to provide real-time system configuration and flexible resource allocation for the sixth-generation network. This paper investigates an intellig
Externí odkaz:
http://arxiv.org/abs/2308.09349
Deploying active reflecting elements at the intelligent reflecting surface (IRS) increases signal amplification capability but incurs higher power consumption. Therefore, it remains a challenging and open problem to determine the optimal number of ac
Externí odkaz:
http://arxiv.org/abs/2305.01924