First Workshop on
The Orchestration of 5G-and-beyond Networks using Machine Learning (O5ML 2020)
held in Conjunction with WCNC 2020
6-9 April 2020, Seoul, South Korea
Rapid progress of Internet of Things (IoT) increases the data traffic manifold, which also increases by the requirements of next genera on users. Recent analysis predicts IoT technology market will be worth 883.55 Billion USD by 2022 and it is also predicted that mobile data traffic will grow more than 1000 times compared with the end of 2010 beyond 2020. In order to support high QoS requirements, ITU proposed IMT-2020, which is setting the stage for 5G wireless technologies with broadband data rate more than 5 Gbps, latency less than 1 ms even for high mobile user. To support these, 5G network proposed several techniques such as 5G NR, 3D beamforming, beam steering, mmWave, etc which are complex in nature. The presence of dense networks make to design channel modeling is very challenging. Channel models are important because wireless PHYs must encode, transmit, receive, and decode data in such a way that bit-error-rates (BERs) stay acceptably low. Artificial intelligence (AI), in the form of machine learning (ML), is becoming a tool for characterizing wireless channels in the digital domain in communication and networking purposes.
