Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Xu, Lianming"'
Unmanned aerial vehicle (UAV) remote sensing is widely applied in fields such as emergency response, owing to its advantages of rapid information acquisition and low cost. However, due to the effects of shooting distance and imaging mechanisms, the o
Externí odkaz:
http://arxiv.org/abs/2410.13532
Radio map construction based on extensive measurements is accurate but expensive and time-consuming, while environment-aware radio map estimation reduces the costs at the expense of low accuracy. Considering accuracy and costs, a first-predict-then-c
Externí odkaz:
http://arxiv.org/abs/2410.18092
In this letter, we propose an airborne maneuverable bi-static integrated sensing and communication system where both the transmitter and receiver are unmanned aerial vehicles. By timely forming a dynamic bi-static range based on the motion informatio
Externí odkaz:
http://arxiv.org/abs/2410.02796
In emergencies, the ability to quickly and accurately gather environmental data and command information, and to make timely decisions, is particularly critical. Traditional semantic communication frameworks, primarily based on a single modality, are
Externí odkaz:
http://arxiv.org/abs/2408.05455
The distributed inference paradigm enables the computation workload to be distributed across multiple devices, facilitating the implementations of deep learning based intelligent services on extremely resource-constrained Internet of Things (IoT) sce
Externí odkaz:
http://arxiv.org/abs/2406.14185
Many rescue missions demand effective perception and real-time decision making, which highly rely on effective data collection and processing. In this study, we propose a three-layer architecture of emergency caching networks focusing on data collect
Externí odkaz:
http://arxiv.org/abs/2402.17550
In achieving effective emergency response, the timely acquisition of environmental information, seamless command data transmission, and prompt decision-making are crucial. This necessitates the establishment of a resilient emergency communication ded
Externí odkaz:
http://arxiv.org/abs/2402.02146
Deep learning (DL)-based channel state information (CSI) feedback has shown promising potential to improve spectrum efficiency in massive MIMO systems. However, practical DL approaches require a sizeable CSI dataset for each scenario, and require lar
Externí odkaz:
http://arxiv.org/abs/2211.14785
When signals propagate through forest areas, they will be affected by environmental factors such as vegetation. Different types of environments have different influences on signal attenuation. This paper analyzes the existing classical propagation pa
Externí odkaz:
http://arxiv.org/abs/2209.02989
Publikováno v:
Tongxin xuebao, Vol 45, Pp 1-12 (2024)
In order to complete the tasks of demand perception (perception), data collection (communication), and material delivery (logistics) at disaster relief sites in multi-UAV emergency scenarios, a two-stage solution framework was proposed for multi-UAV
Externí odkaz:
https://doaj.org/article/2e0f730b67f2460dbbd48a3165bfdccb
