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On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern

Research article (2021 IEEE Global Communications Conference (GLOBECOM), 2021) · cited 10× · AI/ML
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On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern is a scholarly article[1].

Key Facts

  • On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-using-deep-reinforcement-learning-to-dynamically-derive-5g-new-radio-tdd-pattern
MLA “On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-using-deep-reinforcement-learning-to-dynamically-derive-5g-new-radio-tdd-pattern.
BibTeX @misc{4ortxyz_on-using-deep-reinforcement-learning-to-dynamically-derive-5g-new-radio-tdd-pattern_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern}}, year = {2026}, url = {https://4ort.xyz/entity/on-using-deep-reinforcement-learning-to-dynamically-derive-5g-new-radio-tdd-pattern}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern — https://4ort.xyz/entity/on-using-deep-reinforcement-learning-to-dynamically-derive-5g-new-radio-tdd-pattern (retrieved 2026-05-24)

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