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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
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dc.contributor.authorTripathi, Sharda-
dc.date.accessioned2025-08-30T06:57:32Z-
dc.date.available2025-08-30T06:57:32Z-
dc.date.issued2025-06-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/11020752-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19274-
dc.description.abstractRecently, 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.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectEEEen_US
dc.subjectRandom accessen_US
dc.subjectRSMAen_US
dc.subjectUplink power allocationen_US
dc.subjectUser admission policyen_US
dc.subjectDeep learningen_US
dc.titleA quality-of-service-centric uplink rate-splitting approach for next-generation multiple accessen_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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