DSpace Repository

A quality-of-service-centric uplink rate-splitting approach for next-generation multiple access

Show simple item record

dc.contributor.author Tripathi, Sharda
dc.date.accessioned 2025-08-30T06:57:32Z
dc.date.available 2025-08-30T06:57:32Z
dc.date.issued 2025-06
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/11020752
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19274
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject EEE en_US
dc.subject Random access en_US
dc.subject RSMA en_US
dc.subject Uplink power allocation en_US
dc.subject User admission policy en_US
dc.subject Deep learning en_US
dc.title A quality-of-service-centric uplink rate-splitting approach for next-generation multiple access en_US
dc.type Article en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account