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Found 7 papers, 0 papers with code
Malicious RIS versus Massive MIMO: Securing Multiple Access against RIS-based Jamming Attacks
In this letter, we study an attack that leverages a reconfigurable intelligent surface (RIS) to induce harmful interference toward multiple users in massive multiple-input multiple-output (mMIMO) systems during the data transmission phase.
Decomposition Based Interference Management Framework for Local 6G Networks
Managing inter-cell interference is among the major challenges in a wireless network, more so when strict quality of service needs to be guaranteed such as in ultra-reliable low latency communications (URLLC) applications.
Predictive Resource Allocation for URLLC using Empirical Mode Decomposition
It is found that such a decomposition-based prediction method reduces the root mean squared error of the prediction by $20 - 25\%$.
Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge
We formulate an optimization problem to jointly plan the UAVs' trajectory, while minimizing the AoI of the received messages and the devices' energy consumption.
A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks
Many emerging Internet of Things (IoT) applications rely on information collected by sensor nodes where the freshness of information is an important criterion.
A Nonlinear Autoregressive Neural Network for Interference Prediction and Resource Allocation in URLLC Scenarios
Ultra reliable low latency communications (URLLC) is a new service class introduced in 5G which is characterized by strict reliability $(1-10^{-5})$ and low latency requirements (1 ms).
Deep Learning-Based Active User Detection for Grant-free SCMA Systems
Grant-free random access and uplink non-orthogonal multiple access (NOMA) have been introduced to reduce transmission latency and signaling overhead in massive machine-type communication (mMTC).
