most citedPredicting the Path Loss of Wireless Channel Models Using Machine Learning Techniques in MmWave Urban Communications

4 citations · 4 across the 2 of their papers we have counts for

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2 papers

eess.SP2020★ 4 cited

Predicting the Path Loss of Wireless Channel Models Using Machine Learning Techniques in MmWave Urban Communications

Saud Aldossari, Kwang-Cheng Chen

The classic wireless communication channel modeling is performed using Deterministic and Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system des…

eess.SY2020

Relay Selection for 5G New Radio Via Artificial Neural Networks

Saud Aldossari, Kwang-Cheng Chen

Millimeter-wave supplies an alternative frequency band of wide bandwidth to better realize pillar technologies of enhanced mobile broadband (eMBB) and ultra-reliable and lowlatency…