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Found 4 papers, 1 papers with code
Machine Learning-based Methods for Joint {Detection-Channel Estimation} in OFDM Systems
In this work, two machine learning (ML)-based structures for joint detection-channel estimation in OFDM systems are proposed and extensively characterized.
OnRMap: An Online Radio Mapping Approach for Large Intelligent Surfaces
We introduce OnRMap, an online radio mapping (RMap) approach for the sensing and localization of active users (AUs), devices that are transmitting radio signals, and passive elements (PEs), elements that are in the environment and are illuminated by the AUs' radio signals.
Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks
In mMTC mode, with thousands of devices trying to access network resources sporadically, the problem of random access (RA) and collisions between devices that select the same resources becomes crucial.
Randomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation
To exploit the benefits of massive multiple-input multiple-output (M-MIMO) technology in scenarios where base stations (BSs) need to be cheap and equipped with simple hardware, the computational complexity of classical signal processing schemes for spatial multiplexing of users shall be reduced.
