Zobrazeno 1 - 10
of 1 172
pro vyhledávání: '"Li, Geoffrey"'
To enable high data rates and sensing resolutions, integrated sensing and communication (ISAC) networks leverage extremely large antenna arrays and high frequencies, extending the Rayleigh distance and making near-field (NF) spherical wave propagatio
Externí odkaz:
http://arxiv.org/abs/2412.17062
Wireless communications and sensing (WCS) establish the backbone of modern information exchange and environment perception. Typical applications range from mobile networks and the Internet of Things to radar and sensor grids. The incorporation of mac
Externí odkaz:
http://arxiv.org/abs/2412.14369
This paper investigates the use of multi-agent reinforcement learning (MARL) to address distributed channel access in wireless local area networks. In particular, we consider the challenging yet more practical case where the agents heterogeneously ad
Externí odkaz:
http://arxiv.org/abs/2412.14218
In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semantic communications for efficient downlink image transmission within space-air-ground integrated networks (SAGINs). The proposed model comprises multiple
Externí odkaz:
http://arxiv.org/abs/2412.05647
Autor:
Hu, Jingzhi, Li, Geoffrey Ye
Future communication networks are expected to connect massive distributed artificial intelligence (AI). Exploiting aligned priori knowledge of AI pairs, it is promising to convert high-dimensional data transmission into highly-compressed semantic com
Externí odkaz:
http://arxiv.org/abs/2411.19385
Artificial intelligence (AI) provides an alternative way to design channel coding with affordable complexity. However, most existing studies can only learn codes for a given size and rate, typically defined by a fixed network architecture and a set o
Externí odkaz:
http://arxiv.org/abs/2411.18153
For high-speed train (HST) millimeter wave (mmWave) communications, the use of narrow beams with small beam coverage needs frequent beam switching, while wider beams with small beam gain leads to weaker mmWave signal strength. In this paper, we consi
Externí odkaz:
http://arxiv.org/abs/2411.17990
As a fundamental technique in array signal processing, beamforming plays a crucial role in amplifying signals of interest while mitigating interference and noise. When uncertainties exist in the signal model or the data size of snapshots is limited,
Externí odkaz:
http://arxiv.org/abs/2411.06564
Extremely large-scale multiple-input multiple-output (XL-MIMO) is regarded as one of the key techniques to enhance the performance of future wireless communications. Different from regular MIMO, the XL-MIMO shifts part of the communication region fro
Externí odkaz:
http://arxiv.org/abs/2410.11736
Cell-free integrated sensing and communication (CF-ISAC) systems are just emerging as an interesting technique for future communications. Such a system comprises several multiple-antenna access points (APs), serving multiple single-antenna communicat
Externí odkaz:
http://arxiv.org/abs/2409.06847