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Found 5 papers, 1 papers with code
Two-Timescale Transmission Design and RIS Optimization for Integrated Localization and Communications
Reconfigurable intelligent surfaces (RISs) have tremendous potential to boost communication performance, especially when the line-of-sight (LOS) path between the user equipment (UE) and base station (BS) is blocked.
Designing a reliable and low-latency LoRaWAN solution for environmental monitoring in factories at major accident risk
In this article, we propose a reliable and low-latency Long Range Wide Area Network (LoRaWAN) solution for environmental monitoring in factories at major accident risk (FMAR).
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services
The combination of cloud computing capabilities at the network edge and artificial intelligence promise to turn future mobile networks into service- and radio-aware entities, able to address the requirements of upcoming latency-sensitive applications.
Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic
Assuming that each eMBB codeword can tolerate a certain limited amount of puncturing beyond which is in outage, we show that the policy devised by the DRL agent never violates the latency requirement of URLLC traffic and, at the same time, manages to keep the number of eMBB codewords in outage at minimum levels, when compared to other state-of-the-art schemes.
WMMSE resource allocation for NOMA-FD
Power and channel allocation in interference-limited systems is a key enabler for beyond 5G (B5G) technologies, such as multi-carrier full duplex non-orthogonal multiple access (FD-NOMA).
