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Found 4 papers, 0 papers with code
Machine Learning-based xApp for Dynamic Resource Allocation in O-RAN Networks
We present an xApp-based implementation for the proposed ML algorithm.
Decentralized Federated Learning on the Edge over Wireless Mesh Networks
Federated learning enables model training at the edge, leveraging the processing capacity of edge devices while preserving privacy and mitigating data transfer bottlenecks.
FLCC: Efficient Distributed Federated Learning on IoMT over CSMA/CA
In our proposed model, frequency allocation is performed on the basis of spatial clustering performed using virtual cells.
Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach
Multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is a key technology component in the evolution towards cognitive radio (CR) in next-generation communication in which the accuracy of timing and frequency synchronization significantly impacts the overall system performance.
