Evolution of RAN Architectures Towards 6G: Motivation, Development, and Enabling Technologies
J Chen, X Liang, J Xue, Y Sun, H Zhou… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In this survey paper, we first provide insights on the evolution of radio access networks
(RANs) through investigating the existing paradigms and future trends towards 6G. We then …
(RANs) through investigating the existing paradigms and future trends towards 6G. We then …
[HTML][HTML] Mobility-aware offloading and resource allocation strategies in MEC network based on game theory
With the emergence and development of communication technology and new computing
paradigm named mobile edge computing (MEC), fast response and ultralow latency are …
paradigm named mobile edge computing (MEC), fast response and ultralow latency are …
BeiDou short-message satellite resource allocation algorithm based on deep reinforcement learning
K Xia, J Feng, C Yan, C Duan - Entropy, 2021 - mdpi.com
The comprehensively completed BDS-3 short-message communication system, known as
the short-message satellite communication system (SMSCS), will be widely used in …
the short-message satellite communication system (SMSCS), will be widely used in …
[HTML][HTML] Multi-agent deep reinforcement learning based resource management in heterogeneous V2X networks
Abstract In Heterogeneous Vehicle-to-Everything Networks (HVNs), multiple users such as
vehicles and handheld devices and infrastructure can communicate with each other to …
vehicles and handheld devices and infrastructure can communicate with each other to …
Cost-and-delay aware dynamic resource allocation in federated vehicular clouds
M Najm, M Patra, V Tamarapalli - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern vehicular applications are resource-intensive and have different Quality of Service
(QoS) requirements. In this direction, Vehicular Cloud Computing (VCC) has emerged as a …
(QoS) requirements. In this direction, Vehicular Cloud Computing (VCC) has emerged as a …
Multi-Agent RL Based Jointly Trajectory Scheduling and Resource Allocation in NOMA-Assisted UAV Swarm Network
X Dai, Z Lu, X Chen, X Xu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In this paper, we propose a downlink communication scheme for large-scale high-
interference unmanned aerial vehicle (UAV) swarm network based on non-orthogonal …
interference unmanned aerial vehicle (UAV) swarm network based on non-orthogonal …
Empowering the Vehicular Network with RIS Technology: A State-of-the-Art Review
Reconfigurable intelligent surfaces (RIS) are expected to bring about a revolutionary
transformation in vehicular networks, thus paving the way for a future characterized by …
transformation in vehicular networks, thus paving the way for a future characterized by …
[HTML][HTML] Joint computation offloading and resource allocation in vehicular edge computing networks
Abstract Vehicular Edge Computing (VEC) is a promising technique to accommodate the
computation-intensive and delay-sensitive tasks through offloading the tasks to the …
computation-intensive and delay-sensitive tasks through offloading the tasks to the …
Beam management optimization for V2V communications based on deep reinforcement learning
Intelligent connected vehicles have garnered significant attention from both academia and
industry in recent years as they form the backbone of intelligent transportation and smart …
industry in recent years as they form the backbone of intelligent transportation and smart …
Deep reinforcement learning-based scheduling for multiband massive MIMO
Fifth-generation (5G) cellular communication systems have embraced massive multiple-
input-multiple-output (MIMO) in the low-and mid-band frequencies. In a multiband system …
input-multiple-output (MIMO) in the low-and mid-band frequencies. In a multiband system …