The enormous quality of service (QoS) demands posed by mission-critical use-cases of future 5G/6G wireless communication raise the need for resource-efficient highly reliable and low latency connectivity solutions. Multi-connectivity is considered a promising yet resource demanding approach to enhance reliability. In this work, we study the potential of the rate-splitting multiple access (RSMA) framework as an efficient way to enable uplink multi-connectivity for data transmissions with particularly high reliability requirements. Mapping high-criticality data onto the common stream allows it to be decoded at multiple access points (APs), which enhances reliability, while the private stream is utilized to serve applications with less stringent requirements. We propose a criticality-aware RSMA-based transmission scheme with short blocklength coding and derive an iterative power allocation algorithm by means of successive convex approximation (SCA). The proposed scheme is shown to achieve an expanded stability rate region compared to two baseline schemes. Moreover, it turns out to be less impacted by short blocklength while leading to substantial rate gains, particularly in the high SNR regime.
翻译:未来5G/6G无线通信任务关键使用情况(Qos)对服务要求的巨大质量(Qos)使得对资源效率高、可靠和低延迟的连接解决方案的需求增加,多连接被认为是提高可靠性的一个有希望但又需要资源的方法。在这项工作中,我们研究了分速多重接入框架的潜力,这是使数据传输具有特别高可靠性要求的多连接性的一个有效途径。在通用流上绘制高临界度数据,使其在多个接入点(APs)上解码,这提高了可靠性,而私人流则被用来为不那么严格的应用程序服务。我们提出了一个基于临界度的基于RSMA的传输计划,以短长的区段编码为基础,并通过连续的convex近似法(SCA)得出迭代功率分配算法。拟议计划显示,与两个基线计划相比,稳定率区域将扩大。此外,与两个基线计划相比,其受短期数据的影响较小,同时导致大幅的增速率,特别是在高的SNR制度中。