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.
翻译:未来第六代(6G)无线通信网络面临同样需要满足前所未有的服务质量(Qos)需求,同时提供更大的能源效率(EE),以最大限度地减少碳足迹;此外,由于网络参与者的多样性,向网络用户分配了混合临界度(Qos)水平,在这项工作中,以云-无线电接入网络(C-RAN)为重点,实现理想的QOS和最大限度地减少传输功率在比例分化模式下共同优化。因此,优化问题是非冷却的。因此,根据分数编程提出了低兼容度算法。数字结果证实,Qos的实现和电量最小化之间存在平衡。此外,拟议的分率算法的能源效率大于比较办法,特别是分率组合的节率。