Device sampling and resource optimization for federated learning in cooperative edge networks
The conventional federated learning (FedL) architecture distributes machine learning (ML)
across worker devices by having them train local models that are periodically aggregated by …
across worker devices by having them train local models that are periodically aggregated by …
An overview of resource allocation in integrated sensing and communication
J Du, Y Tang, X Wei, J Xiong, J Zhu… - 2023 IEEE/CIC …, 2023 - ieeexplore.ieee.org
Integrated sensing and communication (ISAC) is considered as a promising solution for
improving spectrum efficiency and relieving wireless spectrum congestion. This paper …
improving spectrum efficiency and relieving wireless spectrum congestion. This paper …
On the performance trade-off of distributed integrated sensing and communication networks
In this letter, we analyze the performance trade-off in distributed integrated sensing and
communication (ISAC) networks. Specifically, with the aid of stochastic geometry theory, we …
communication (ISAC) networks. Specifically, with the aid of stochastic geometry theory, we …
Joint Sensing and Computation Incentive Mechanism for Mobile Crowdsensing Networks: A Multi-Agent Reinforcement Learning Approach
N Zhao, Y Sun, Y Pei, D Niyato - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Mobile crowdsensing is a novel sensing paradigm by utilizing mobile users (MUs) to collect
data from environment. Considering the finite sensing and computing resources of MUs, it is …
data from environment. Considering the finite sensing and computing resources of MUs, it is …
Learning based dynamic resource allocation in uav-assisted mobile crowdsensing networks
Unmanned aerial vehicles (UAV) assisted mobile crowdsensing (MCS) is an emerging
paradigm that utilizes mobile user (MU) collaboration to complete sensing tasks. However …
paradigm that utilizes mobile user (MU) collaboration to complete sensing tasks. However …
Interference Management in Space-Air-Ground Integrated Networks with Fully Distributed Rate-Splitting Multiple Access
Despite the allure of ubiquitous, high-speed, and low-latency connectivity offered by Space-
Air-Ground Integrated Networks (SAGINs), the co-existence of Low Earth Orbit (LEO) …
Air-Ground Integrated Networks (SAGINs), the co-existence of Low Earth Orbit (LEO) …
Optimal Resource Allocation for UAV-Relay-Assisted Mobile Crowdsensing
In this paper, we exploit an emergency mobile crowdsensing (MCS) framework that utilizes
unmanned aerial vehicles (UAVs) in collaboration with uncrashed base stations (BSs) to …
unmanned aerial vehicles (UAVs) in collaboration with uncrashed base stations (BSs) to …
Joint Optimization for Mobile Crowdsensing Systems With Reliability Consideration
Mobile crowdsensing (MCS) uses sensor-embedded mobile devices to collect and share
data. However, the unstable wireless channels and limited network resources deteriorate …
data. However, the unstable wireless channels and limited network resources deteriorate …
[HTML][HTML] Joint Sensing and Communications in Unmanned-Aerial-Vehicle-Assisted Systems
The application of joint sensing and communications (JSACs) technology in air–ground
networks, which include unmanned aerial vehicles (UAVs), offers unique opportunities for …
networks, which include unmanned aerial vehicles (UAVs), offers unique opportunities for …
Task-Driven Delay Minimization for UAV-Assisted Mobile Crowdsensing Networks: A Joint Optimization Approach
X Deng, Y Fu, Q Zhu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In this work, we investigate a task-driven delay minimization problem for unmanned aerial
vehicle (UAV) enabled mobile crowdsensing (MCS) networks. Our focus is to reduce overall …
vehicle (UAV) enabled mobile crowdsensing (MCS) networks. Our focus is to reduce overall …