A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
The next generation of wireless communications networks will be very complex with the heterogeneous nature of nodes, radio access mechanisms, communication links, and network slices. The network will be more dynamic, which requires an intelligent system to address those complex heterogeneous scenarios and to adapt to the dynamics of wireless channels and environments. Machine Learning (ML) and Deep Learning (DL)-based solutions will be the optimal one for this problem. Machine learning and Deepdoi:10.30534/ijatcse/2020/73942020 fatcat:ifrl2z27gbcrvjahwhj2nj3cla