Introduction to the special section on deep reinforcement learning for future wireless communication networks
IEEE Transactions on Cognitive Communications and Networking, 2019•ieeexplore.ieee.org
We are delighted to introduce the readers to this special section of the IEEE Transactions on
Cognitive Communications and Networking (TCCN), which aims at exploring recent
advances and addressing practical challenges in the applications of deep reinforcement
learning (DRL) in modern wireless networks. We have received a total of 29 submissions,
and after a rigorous review process, 12 articles have been selected for publication, which
are briefly discussed as follows.
Cognitive Communications and Networking (TCCN), which aims at exploring recent
advances and addressing practical challenges in the applications of deep reinforcement
learning (DRL) in modern wireless networks. We have received a total of 29 submissions,
and after a rigorous review process, 12 articles have been selected for publication, which
are briefly discussed as follows.
We are delighted to introduce the readers to this special section of the IEEE Transactions on Cognitive Communications and Networking (TCCN), which aims at exploring recent advances and addressing practical challenges in the applications of deep reinforcement learning (DRL) in modern wireless networks. We have received a total of 29 submissions, and after a rigorous review process, 12 articles have been selected for publication, which are briefly discussed as follows.
ieeexplore.ieee.org
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