
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 |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.