6G Goal-Oriented AI-enabled Learning and Semantic Communication Networks (6G Goals)

无线移动的通信不断朝着更高的数据速率发展，5G将其范围扩展到包括大规模和超可靠的低延迟链路。无线演进中的基本追求是解决两个端点之间的可靠数据交换的技术问题。6 G-GOALS将通过考虑传输数据的重要性、相关性和价值，将无线系统设计带入下一阶段，将新兴的基于AI/ML的架构的潜力转化为语义和目标导向的通信范式。两个趋势证实了6 G-GOALS的及时性：（1）具有低语义内容或与最终目标相关性的数据流对无线网络造成的负担;（2）网络节点和设备从不可靠的数据流中提取“含义”和意图的AI能力增强。这些趋势支撑了6 G-GOALS的两个主要目标：（1）通过仅传递最相关的信息来减少数据流量;（2）设计数据高效，健壮和弹性的协议，可以使用现代AI/ML技术来适应网络条件和通信目标。6 G-GOALS的研究突破和创新有三个方面：首先，6 G-GOALS将开发AI/ML授权的语义数据表示，感知和压缩算法，结合数据和模型驱动的方法，并致力于利用基于AI的联合信源信道编码的未开发收益。其次，6 G-GOALS将引入面向语义的解决方案，以支持分布式推理和时间敏感的通信，通过根据实际目标定制通信来推广5G的低延迟。最后，6 G-GOALS将通过定义语义认知无线电的概念，介绍无线技术在能源效率、EMF暴露和频谱管理方面的可持续性

Wireless mobile communication has continually evolved towards higher data rates, with 5G expanding its scope to include massive and ultra-reliable low-latency links. The underlying quest in the wireless evolution has been to solve the technical problem of reliable data exchange between two end-points. 6G-GOALS will take the wireless system design to its next stage by considering the significance, relevance, and value of the transmitted data, transforming the potential of the emerging AI/ML-based architectures into a semantic and goal-oriented communication paradigm. Two trends corroborate the timeliness of 6G-GOALS: (1) the burden on wireless networks by data flows with low semantic content or relevance for the end goal; (2) the increased AI capability of network nodes and devices to extract ‘meaning’ and intention from unreliable data flows. These trends underpin the two main objectives of 6G-GOALS: (1) to reduce data traffic by conveying only the most relevant information; (2) to design data-efficient, robust, and resilient protocols that can adapt to network conditions and communication objectives using modern AI/ML techniques. The research breakthroughs and innovation of 6G-GOALS are three-fold: First, 6G-GOALS will develop AI/ML-empowered semantic data representation, sensing, and compression algorithms combining data-and-model-driven approaches, and work towards exploiting untapped gains from AI-based joint source channel coding. Second, 6G-GOALS will introduce semantic-oriented solutions for supporting distributed reasoning and time-sensitive communication, generalizing low- latency of 5G by tailoring communication to the actual goal. Finally, 6G-GOALS will introduce wireless technologies for sustainability in energy efficiency, EMF exposure, and spectrum management, by defining the concept of semantic cognitive radio