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In this episode, we dive into neural OFDM receivers, a series of four papers published in IEEE Journal on Selected Areas in Communications (JSAC) and IEEE Transactions on Wireless Communications (TWC) on the topic of leveraging deep learning to enhance radio signal reception in Orthogonal Frequency-Division Multiplexing (OFDM) systems.
Generated using NotebookLM from Google, this podcast highlights the key findings and implications of this research.
🎧 Read the papers here: [Deep-Waveform], [DeepRx], [Power Efficiency] [Pilotless Communications]
📷 Cover Image Source: imagine.art, Microsoft Designer
🎵 BGM: Artlist.io
🛠️ Credits: NotebookLM by Google
In this episode, we dive into neural OFDM receivers, a series of four papers published in IEEE Journal on Selected Areas in Communications (JSAC) and IEEE Transactions on Wireless Communications (TWC) on the topic of leveraging deep learning to enhance radio signal reception in Orthogonal Frequency-Division Multiplexing (OFDM) systems.
Generated using NotebookLM from Google, this podcast highlights the key findings and implications of this research.
🎧 Read the papers here: [Deep-Waveform], [DeepRx], [Power Efficiency] [Pilotless Communications]
📷 Cover Image Source: imagine.art, Microsoft Designer
🎵 BGM: Artlist.io
🛠️ Credits: NotebookLM by Google