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Filtering by: Keyword deep Q-learning Subject Computer science Subject Electrical engineering

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Description:: Next generation cellular networks are expected to support a massive data traffic volume and satisfy a vast number of users that have latency-critical quality-of-service expectations. Towards serving this demand, it is envisaged that the interference management problem will be the main bottleneck due to the likeliness of a heavily interfering...
Keyword:: power control, deep Q-learning, reinforcement learning, actor critic learning, radio resource management, and Jakes fading model
Subject:: Electrical engineering, Computer science, and Engineering
Creator:: Nasir, Yasar Sinan
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/02/2022
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15788 and etdadmin_upload_849279

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