论文标题
与混合关键的速率分类多次访问的能源效率
Energy Efficiency in Rate-Splitting Multiple Access with Mixed Criticality
论文作者
论文摘要
未来的第六代（6G）无线通信网络面临着同样满足前所未有的服务质量（QoS）需求的需求，同时还提供了更大的能源效率（EE），以最大程度地减少其碳足迹。此外，由于网络参与者的多样性，将混合的临界QoS级别分配给了此类网络的用户。在这项工作中，以云拉迪奥访问网络（C-RAN）为重点，在降低费率的范式中，共同优化了所需QoS和最小化发射功率的实现。因此，优化问题是非凸面。因此，基于分数编程提出了低复杂算法。数值结果证明了QoS实现与功率最小化之间的权衡。此外，提出的分解算法的能源效率大于比较方案中的能源效率，尤其是在混合临界方面。
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.
