AI, Machine Learning and Data Analytics for Wireless Communications—2nd Edition

Dear Colleagues,

One of the pressing necessities of the internet in the future is ubiquitous and reliable wireless connectivity regardless of location, time, or user case. This is not just needed for people but also for billions of IoT nodes that need to communicate with several exabytes of data. Hence, future wireless networks are not only expected to provide connectivity and bandwidth, but they also should be intelligent and able to multitask to accomplish the numerous missions that cannot be preprogrammed. For instance, rapidly emerging video conferencing and augmented reality applications consume a huge bandwidth per user, while innumerable IoT nodes often require only low bitrate sporadic connectivity. The safe operation of fast-moving autonomous vehicles requires low-latent ultrareliable message delivery, while remote communities require basic voice and internet services at a reasonable cost. Very complex scenarios, such as those of future wireless networks, are unlikely to adhere to traditional analytical models. In order to face this emerging complexity crunch challenge, disruptive approaches such as machine learning (ML) and artificial intelligence (AI) shall be wisely incorporated in addition to established techniques. That is the focus of this Special Issue.

Prof. Dr. Xavier Fernando
Guest Editor

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