论文标题
混合批判性系统中启用了速率分解的多连通性
Rate-Splitting Enabled Multi-Connectivity in Mixed-Criticality Systems
论文作者
论文摘要
未来5G/6G无线通信的关键任务用例提出的巨大服务质量（QoS）提出了对资源有效的高度可靠和低潜伏期连接解决方案的需求。多连通性被认为是一种有希望的但需要资源的方法来提高可靠性的方法。在这项工作中，我们研究了速率降低多重访问（RSMA）框架的潜力，是一种有效的方法，可以使上行链路多连通性获得具有特别高可靠性要求的数据传输。将高批判性数据映射到公共流中，可以在多个访问点（AP）中对其进行解码，从而增强可靠性，而私有流则用于为应用程序提供较少要求的应用程序。我们提出了一种基于较短的区块长度编码的基于RSMA的关键性感知传输方案，并通过连续的凸近似（SCA）得出迭代功率分配算法。与两个基线方案相比，所提出的方案显示可实现扩大的稳定速率区域。此外，事实证明，这会受到短长度的影响，同时导致大幅增长，尤其是在高SNR制度中。
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.
