AI RESEARCH
Data driven approach for Outdoor Channel Prediction in 5G and Beyond
arXiv CS.AI
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ArXi:2605.01777v1 Announce Type: cross An evolution of Wireless Communications towards 5G and beyond provides improved user experience in terms of quality of services. Understanding and estimating Channel information plays crucial role in providing better user experience. Traditional methods of channel estimation involves periodically sending pilots (known signals), estimating channel and send back estimated channel information to the BS which increases computational complexity and communication complexity. Hence, we focus on data driven approach for channel estimation.