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eess.SP2020
Low-Complexity Vector Quantized Compressed Sensing via Deep Neural Networks
Markus Leinonen, Marian Codreanu
Sparse signals, encountered in many wireless and signal acquisition applications, can be acquired via compressed sensing (CS) to reduce computations and transmissions, crucial for…
eess.SP2020
Age-Aware Status Update Control for Energy Harvesting IoT Sensors via Reinforcement Learning
Mohammad Hatami, Mojtaba Jahandideh, Markus Leinonen +1
We consider an IoT sensing network with multiple users, multiple energy harvesting sensors, and a wireless edge node acting as a gateway between the users and sensors. The users re…