AI/ML at IIT Kanpur for 5G+/6G wireless systems
Bayesian Machine Learning
Combines common sense with data to improve wireless system performance
We use it for designing channel estimation and user detection in 5G+/6G systems e.g., massive machine type communication systems (mMTC), and intelligent reflective surfaces (IRS)
See our following papers e.g., [pdf-link, [pdf-link], [pdf-link], [pdf-link],[pdf-link]
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Deep Reinforcement Learning
We use it for optimizing uplink and downlink power in 5G+/6G systems e.g., cell-free massive MIMO, IRS, Cloud Radio Networks
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Diffusion Models
We use it for designing 5G+/6G systems
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Deep Neural Network
We use it for designing 5G+/6G systems
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