A Review On Machine Learning Enabled Mimo Systems For Capacity Enhancement In Wireless Networks

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Author(s):

Noshin Shaikh | Prof. Kamlendra Verma
Keywords:

MIMO, Deep Learning, Channel Response, Artificial Neural Network (ANN), Deep Neural Network, Mean Square Error (MSE).
Abstract:
Due To Increasing Number Of Users And Multimedia Applications, Multiple Input, Multiple Output (MIMO) Systems Have Become Indispensable From Wireless Technology. The Benefit Of MIMO Systems Is Increase In The Channel Capacity At Low Bandwidths, However, The Accurate Reception Of The MIMO Signal At The Receiver Is Extremely Complex. This Is Due To The Addition Of Noise And Interference, As Well As The Different Behavior Of The Wireless Channel For The Different Channel Paths. Due To The Largeness And The Complexity Of The Data, The Technique Used Off Late Is The Deep Learning Based Approach For Signal Detection. This Paper Presents The Basics Of MIMO Systems And Insight Into Deep Learning Based MIMO Channel Estimation And Signal Detection Techniques.