Multi-armed bandit-aided near-optimal over-the-air updates in multi-band v2x systems
As autonomous and connected vehicles continue to garner much research attention, the
automotive Over-The-Air (OTA) updates recently emerged as an important research topic …
automotive Over-The-Air (OTA) updates recently emerged as an important research topic …
A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update
As vehicular communication networks embrace metaverse beyond 5G/6G systems, the rich
content update via the least interfered subchannel of the optimal frequency band in a hybrid …
content update via the least interfered subchannel of the optimal frequency band in a hybrid …
Risk-aware multi-armed bandits for vehicular communications
The importance of vehicular communications has grown significantly in recent years.
Potential use cases of vehicular communications are manifold and range from sharing …
Potential use cases of vehicular communications are manifold and range from sharing …
Optimal channel selection in hybrid RF/VLC networks: A multi-armed bandit approach
We investigate optimal band/channel selection in hybrid radio frequency and visible light
communication (RF/VLC) networks. Particularly, we first develop a robust hybrid RF/VLC …
communication (RF/VLC) networks. Particularly, we first develop a robust hybrid RF/VLC …
Context-and-social-aware online beam selection for mmwave vehicular communications
Millimeter-wave (mmWave) bands are expected to be an important choice for future
vehicular communication to support Gbps links for reliable data transfer in high-rate …
vehicular communication to support Gbps links for reliable data transfer in high-rate …
Environment-adaptive multiple access for distributed V2X network: A reinforcement learning framework
The huge research interest in cellular vehicle-to-everything (C-V2X) communications in
recent days is attributed to their ability to schedule multiple access more efficiently as …
recent days is attributed to their ability to schedule multiple access more efficiently as …
Reinforcement learning for accident risk-adaptive V2X networking
The significance of vehicle-to-everything (V2X) communications has been ever increased as
connected and autonomous vehicles (CAVs) get more emergent in practice. The key …
connected and autonomous vehicles (CAVs) get more emergent in practice. The key …
[HTML][HTML] Cost-aware bandits for efficient channel selection in hybrid band networks
Recently, hybrid band communications have received much attention to fulfil the
exponentially growing user demands in next-generation communication networks. Still …
exponentially growing user demands in next-generation communication networks. Still …
Online Learning for Adaptive Probing and Scheduling in Dense WLANs
Existing solutions to network scheduling typically assume that the instantaneous link rates
are completely known before a scheduling decision is made or consider a bandit setting …
are completely known before a scheduling decision is made or consider a bandit setting …
An online context-aware machine learning algorithm for 5G mmWave vehicular communications
Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …
everything (V2X) since future vehicular systems demand Gbps links to acquire the …