Energy Efficiency in Rate-Splitting Multiple Access with Mixed Criticality

Abstract

Future sixth generation (6G) wireless communication networks face the need to similarly meet unprecedented quality of service (QoS) demands while also providing a larger energy efficiency (EE) to minimize their carbon footprint. Moreover, due to the diverseness of network participants, mixed criticality QoS levels are assigned to the users of such networks. In this work, with a focus on a cloud-radio access network (C-RAN), the fulfillment of desired QoS and minimized transmit power use is optimized jointly within a rate-splitting paradigm. Thereby, the optimization problem is non-convex. Hence, a low-complexity algorithm is proposed based on fractional programming. Numerical results validate that there is a trade-off between the QoS fulfillment and power minimization. Moreover, the energy efficiency of the proposed rate-splitting algorithm is larger than in comparative schemes, especially with mixed criticality.

arXiv comment7 pages, 6 figures, 1 table. This work has been submitted to the IEEE for possible publication

References in corpus (4)

• Fractional Programming for Communication Systems--Part I: Power Control and Beamforming
• Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends
• Robust Transmission in Downlink Multiuser MISO Systems: A Rate-Splitting Approach
• Energy Efficiency of Rate-Splitting Multiple Access, and Performance Benefits over SDMA and NOMA

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