A Compact Multi-Mode Antenna Design Based on Metasurface for Wideband Applications
This paper presents a novel approach to design a compact wideband metasurface (MS) antenna with multi-mode resonance for Internet of Things (IoT) […]
UIFRS-HAN: User interests-aware food recommender system based on the heterogeneous attention network
In recent years, the surge in social media platform usage has sparked a heightened interest in applying recommender systems (RSs) within the […]
Resource Allocation for Multi-Antenna Coded Caching Systems With Dynamic User Behavior
In practical cache-aided setups, users may enter or depart the network at any time. The shared caching model can mitigate the detrimental […]
Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6 G Mobile Networks
Network slices are generally coupled with services and face service continuity/unavailability concerns due to the high mobility and dynamic requests from users. […]
How Can Optical Communications Shape the Future of Deep Space Communications? A Survey
With a large number of deep space (DS) missions anticipated by the end of this decade, reliable and high-capacity DS communications are […]
On mining mobile emergency communication applications in Nordic countries
Nowadays, the use of mobile devices has become ubiquitous, allowing users to access and share information in almost real-time through various social […]
Tangent Space-Free Lorentz Spatial Temporal Graph Convolution Networks
Spatial Temporal Graph Convolution Networks (ST-GCNs) have been proposed to embed spatio-temporal graphs. However, these networks used the Euclidean space as the […]
Cache-Aided Communications in MISO Networks with Dynamic User Behavior
Coded caching (CC) can substantially enhance network performance by leveraging memory as an additional communication resource. However, the use of CC is […]
Extreme Value Theory-based Robust Minimum-Power Precoding for URLLC
Channel state information (CSI) is crucial for achieving ultra-reliable low-latency communication (URLLC) in wireless networks. The main associated problems are the CSI […]
RIS Phase Optimization via Generative Flow Networks
This letter introduces a new Machine Learning (ML) technique to learn phase shifting patterns for Reconfigurable Intelligent Surfaces (RISs). We leverage the […]