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Multiplexing eMBB and mMTC services over aerial visible light communications

Zarini, H ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1109/ICC45041.2023.10279143
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2023
  4. Abstract:
  5. Downlink transmission of non-orthogonal multiple access visible light communication systems empowered by an unmanned aerial vehicle (UAV) is considered for multiplexing enhanced mobile broadband (eMBB) and massive machine type communication (mMTC) services. Accordingly, a resource allocation problem of joint transmit power control and motion trajectory design of the DAVs is formulated, whose goal is to characterize a multi-objective trade-off as a weighted sum of the UAVs' power consumption and the perceived quality-of-experience (QoE) of eMBB users, while ensuring the eMBB and mMTC service-specific requirements. We leverage an alternative decomposition and tools from convex optimization and actorcritic multi-agent deep reinforcement learning to address this problem in an iterative fashion. We analytically derive the upper-and lower-bounds on the reward of the DAVs as the learning agents and demonstrate that the proposed resource allocation method outperforms the similar scheme in literature, by up to 17% average reduced power consumption, as well as 12% average perceived QoE gain. © 2023 IEEE
  6. Keywords:
  7. Enhanced mobile broadband (eMBB) ; Massive machine type communication (mMTC) ; Unmanned aerial vehicle (UAV) ; Visible light communication (VLC)
  8. Source: IEEE International Conference on Communications ; Volume 2023-May , 2023 , Pages 2655-2661 ; 15503607 (ISSN); 978-153867462-8 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/10279143