6G

Ali Al Janaby1, Hussain Al-Rizzo2, Yahya Qassim3

  • 1Department of Communications Engineering, College of Electronics, Nineveh University, Mosul 41002, Iraq.

PubMed
まとめ

この研究は,マルチユーザーマルチ入力マルチアウトプット (MU-MIMO) システムのための新しいマルチエージェント強化学習 (MARL) ビームフォームアルゴリズムを導入します. このアプローチは,無線通信の効率とパフォーマンスを大幅に高め,信号対干渉プラスノイズ比 (SINR) を向上させます.

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