Next-generation wireless networks are projected to empower a broad range of Internet-of-things (IoT) applications and services with extreme data rates, posing new challenges in delivering large-scale connectivity at a low cost to current communication paradigms. Rate-splitting multiple access (RSMA) is one of the most spotlight nominees, conceived to address spectrum scarcity while reaching massive connectivity. Meanwhile, symbiotic communication is said to be an inexpensive way to realize future IoT on a large scale. To reach the goal of spectrum efficiency improvement and low energy consumption, we merge these advances by means of introducing a novel paradigm shift, called symbiotic backscatter RSMA, for the next generation. Specifically, we first establish the way to operate the symbiotic system to assist the readers in apprehending the proposed paradigm, then guide detailed design in beamforming weights with four potential gain-control (GC) strategies for enhancing symbiotic communication, and finally provide an information-theoretic framework using a new metric, called symbiotic outage probability (SOP) to characterize the proposed system performance. Through numerical result experiments, we show that the developed framework can accurately predict the actual SOP and the efficacy of the proposed GC strategies in improving the SOP performance.

翻译：下一代无线网络预计将以极高数据速率赋能广泛的物联网应用与服务，这对当前通信范式以低成本实现大规模连接提出了新挑战。速率分割多址技术是备受瞩目的候选方案之一，旨在解决频谱稀缺问题并实现海量连接。与此同时，共生通信被认为是实现未来大规模物联网的低成本途径。为达成提升频谱效率与降低能耗的目标，我们通过引入一种称为"共生反向散射速率分割多址"的新范式转变，融合了这些技术进展。具体而言，我们首先建立该共生系统的运行机制以帮助读者理解所提出的范式，随后通过四种潜在的增益控制策略指导波束赋形权重的详细设计以增强共生通信性能，最终构建基于新度量指标——共生中断概率的信息理论框架来表征所提出系统的性能。通过数值实验，我们证明所开发的框架能够准确预测实际共生中断概率，并验证所提增益控制策略在改善中断概率性能方面的有效性。