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

无线移动通信不断向更高的数据速率发展，5G扩展了其范围，包括大规模和超可靠的低延迟链路。无线发展的根本问题是解决两个端点之间可靠数据交换的技术问题。6G-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个阶段，将新兴的基于AI/ ml的架构的潜力转化为语义和面向目标的通信范式。两个趋势证实了6g目标的时效性：(1)低语义内容或与最终目标相关的数据流对无线网络的负担；(2)网络节点和设备从不可靠的数据流中提取“意义”和意图的人工智能能力增强。这些趋势支撑着6G-GOALS的两个主要目标：(1)通过只传递最相关的信息来减少数据流量；(2)使用现代AI/ML技术设计数据高效、健壮和有弹性的协议，可以适应网络条件和通信目标。6G-GOALS的研究突破和创新有三个方面：首先，6G-GOALS将开发人工智能/机器学习支持的语义数据表示、传感和压缩算法，结合数据和模型驱动的方法，并努力利用基于人工智能的联合源信道编码的未开发收益。其次，6G-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通信，通过根据实际目标定制通信来推广5G的低延迟。最后，通过定义语义认知无线电的概念，6G-GOALS将引入无线技术，以实现能源效率、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