Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge
In many emerging Internet of Things (IoT) applications, the freshness of the is an important design criterion. Age of Information (AoI) quantifies […]
ACK-Less Rate Adaptation Using Distributional Reinforcement Learning for Reliable IEEE 802.11bc Broadcast WLANs
As a step towards establishing reliable broadcast wireless local area networks (WLANs) this paper proposes acknowledgement (ACK)-less rate adaptation to alleviate reception […]
Evolution Toward 6G Multi-band Wireless Networks
In this article we first present the vision key performance indicators key enabling techniques (KETs) and services of 6G wireless networks. Then […]
Joint Caching and Computing Service Placement for Edge-Enabled IoT based on Deep Reinforcement Learning
By placing edge service functions in proximity to IoT facilities edge computing can satisfy various IoT applications’ resource and latency requirements. Sensing-data-driven […]
Dynamic Task Allocation and Service Migration in Edge-Cloud IoT System based on Deep Reinforcement Learning
Edge computing extends the ability of cloud computing to the network edge to support diverse resource-sensitive and performance-sensitive IoT applications. However due […]
Deep Contextual Bandits for Fast Neighbor-Aided Initial Access in mmWave Cell-Free Networks
Access points (APs) in millimeter-wave (mmWave) user-centric (UC) networks will have sleep mode functionality. Initial access (IA) is a challenging problem in […]
Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs
In this paper, cooperative edge caching problem is investigated in fog radio access networks (F-RANs). By considering the non-deterministic polynomial hard (NP-hard) […]
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond
In this paper, we study the resource slicing problem in a dynamic multiplexing scenario of two distinct 5G services, namely Ultra-Reliable Low […]
Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching
In order to meet the growing demands for multimedia service access and release the pressure of the core network, edge caching and […]
Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems
This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) system, in which the UAV provides complementary computation resource to the […]