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Deep Reinforcement Learning for Wireless Networks

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Deep Reinforcement Learning for Wireless Networks - Yu, F Richard, and He, Ying
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This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. ...

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Deep Reinforcement Learning for Wireless Networks 2019, Springer, Cham

ISBN-13: 9783030105457

2019 edition

Trade paperback