Article, 2023

Power and Rate Adaptation for URLLC With Statistical Channel Knowledge and HARQ

IEEE WIRELESS COMMUNICATIONS LETTERS, ISSN 2162-2337, Volume 12, 12, Pages 2148-2152, 10.1109/LWC.2023.3310205

Contributors

Peng, Hongsen [1] Kallehauge, Tobias 0000-0001-9155-7856 [2] Tao, Meixia (Corresponding author) [1] Popovski, P. 0000-0001-6195-4797 [2]

Affiliations

  1. [1] Shanghai Jiao Tong Univ, Cooperat Medianet Innovat Ctr, Shanghai 200240, Peoples R China
    2. [NORA names: China; Asia, East];
  2. [2] Aalborg Univ, Dept Elect Syst, DK-9220 Aalborg, Denmark
    3. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

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Keywords

HARQ, URLLC, deep reinforcement learning

Data Provider: Clarivate

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