Two-stage channel estimation for mmwave massive mimo systems based on resnet-unet
J Zhao, Y Wu, Q Zhang, J Liao - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
For millimeter wave massive multiple-input multiple-output systems, the transceiver usually
adopts a hybrid precoding structure to reduce complexity and cost, which poses great …
adopts a hybrid precoding structure to reduce complexity and cost, which poses great …
Dynamic task allocation and service migration in edge-cloud iot system based on deep reinforcement learning
Edge computing (EC) extends the ability of cloud computing to the network edge to support
diverse resource-sensitive and performance-sensitive IoT applications. However, due to the …
diverse resource-sensitive and performance-sensitive IoT applications. However, due to the …
Online distributed optimization for energy-efficient computation offloading in air-ground integrated networks
J Zhao, X Sun, X Ma, H Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driven by ever-increasing vehicular intelligent computation-intensive and delay-sensitive
services, this paper investigates the computing offloading in unmanned aerial vehicle (UAV) …
services, this paper investigates the computing offloading in unmanned aerial vehicle (UAV) …
Energy-minimized partial computation offloading for delay-sensitive applications in heterogeneous edge networks
Mobile Devices (MDs) support various delay-sensitive and computation-intensive
applications. Yet they only have limited battery energy and computing resources, thereby …
applications. Yet they only have limited battery energy and computing resources, thereby …
Efficient computation offloading in multi-tier multi-access edge computing systems: A particle swarm optimization approach
In recent years, multi-access edge computing (MEC) has become a promising technology
used in 5G networks based on its ability to offload computational tasks from mobile devices …
used in 5G networks based on its ability to offload computational tasks from mobile devices …
Trajectory design and access control for air–ground coordinated communications system with multiagent deep reinforcement learning
Unmanned-aerial-vehicle (UAV)-assisted communications has attracted increasing attention
recently. This article investigates air–ground coordinated communications system, in which …
recently. This article investigates air–ground coordinated communications system, in which …
Multiuser computation offloading and resource allocation for cloud–edge heterogeneous network
Q Chen, Z Kuang, L Zhao - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Cloud–edge heterogeneous network is an emerging technique built on edge infrastructure,
which is based on the core of cloud computing technology and edge computing capabilities …
which is based on the core of cloud computing technology and edge computing capabilities …
Efficient task allocation for computation offloading in vehicular edge computing
Z Zhang, F Zeng - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular edge computing, the edge servers may be overloaded once too many vehicles
request the task offloading service, which will cause task offloading failure or the high …
request the task offloading service, which will cause task offloading failure or the high …
Energy-efficient computation offloading in vehicular edge cloud computing
With the development of electrification, automation, and interconnection of the automobile
industry, the demand for vehicular computing has entered an explosive growth era. Massive …
industry, the demand for vehicular computing has entered an explosive growth era. Massive …
Opportunistic access point selection for mobile edge computing networks
In this paper, we investigate a mobile edge computing (MEC) network with two
computational access points (CAPs), where the source is equipped with multiple antennas …
computational access points (CAPs), where the source is equipped with multiple antennas …