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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19274
Title: A quality-of-service-centric uplink rate-splitting approach for next-generation multiple access
Authors: Tripathi, Sharda
Keywords: EEE
Random access
RSMA
Uplink power allocation
User admission policy
Deep learning
Issue Date: Jun-2025
Publisher: IEEE
Abstract: Recently, Rate-Splitting Multiple Access (RSMA) has emerged as a powerful paradigm for meeting the demanding performance requirements of 6G wireless networks through non-orthogonal high-rate data transmission. However, uplink access in RSMA necessitates optimizing the decoding order, which can lead to significant search latency. Besides, the process overlooks the Quality-of-Service (QoS) constraints of different traffic types, making current RSMA methods inadequate, especially for low-latency communication. Here, we address this issue by proposing QORA, short for QoS-aware One-shot Rate-splitting multiple Access, a multi-agent Deep Q-Network (DQN) framework that leverages a novel QoS-aware transmit power allocation and decoding order policy in uplink RSMA that achieves remarkable performance improvements while maintaining low latency and high admission rates.
URI: https://ieeexplore.ieee.org/abstract/document/11020752
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19274
Appears in Collections:Department of Electrical and Electronics Engineering

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