The future sixth generation (6G) of communication systems is envisioned to provide numerous applications in safety-critical contexts, e.g., driverless traffic, modular industry, and smart cities, which require outstanding performance, high reliability and fault tolerance, as well as autonomy. Ensuring criticality awareness for diverse functional safety applications and providing fault tolerance in an autonomous manner are essential for future 6G systems. Therefore, this paper proposes jointly employing the concepts of resilience and mixed criticality. In this contribution, we conduct physical layer resource management in cloud-based networks under the rate-splitting paradigm, which is a promising factor towards achieving high resilience. We recapitulate the concepts individually, outline a joint metric to measure the criticality-aware resilience, and verify its merits in a case study. We, thereby, formulate a non-convex optimization problem, derive an efficient iterative algorithm, propose four resilience mechanisms differing in quality and time of adaption, and conduct numerical simulations. Towards this end, a highly autonomous rate-splitting-enabled physical layer resource management algorithm for future 6G networks respecting mixed-critical QoS levels and providing high levels of resilience is proposed. Results emphasize the appreciable improvements of implementing mixed criticality-aware resilience under channel outages and strict quality of service (QoS) demands. The rate-splitting paradigm is particularly shown to overcome state-of-the-art interference management techniques, and the resilience and throughput adaption over consecutive outage events reveals the proposed schemes suitability for future 6G networks.
翻译:未来第六代(6G)通信系统设想在未来第六代(6G)通信系统中,在安全关键环境下提供多种应用,例如无司机交通、模块行业和智能城市,这需要出色的性能、高可靠性和错失容忍度以及自主性。确保各种功能安全应用的临界意识,以自主方式提供错失容忍度,对于未来的6G系统至关重要。因此,本文件提议联合采用复原力和混合关键度概念,并进行数字模拟。为此,我们根据分率模式对云基网络进行物理层资源管理,这是实现高复原力的一个大有希望的因素。我们逐个概括这些概念,提出衡量关键度-认知复原力的联合衡量标准,并在案例研究中核实其优点。因此,我们制定了非对功能安全应用安全应用程序的临界性认识,以自主的方式提供错失容忍度容忍度。因此,本文件提议采用四个在适应质量和时间上不同的恢复力机制,进行数字模拟。为此,为未来的6G网络提供高度自主、分率分解的物理层资源管理算法,这是实现混合临界性QS水平和高复原力水平的联合衡量,并在案例研究中核实其优点改进了未来复原力管理。