Several speculative visions are conjecturing on what 6G services will be able to offer at the horizon of 2030. Nevertheless, the 6G design process is at its preliminary stages. The reality today is that hardware, technologies and new materials required to effectively meet the unprecedented performance targets required for future 6G services and network operation, have not been designed, tested or even do not exist yet. Today, a solid vision on the cost-benefit trade-offs of machine learning and artificial intelligence support for 6G network and services operation optimization is missing. This includes the possible support from hardware efficiency, operation effectiveness and, the immeasurable cost due to data acquisition-transfer-processing. The contribution of this paper is three-fold. This is the first paper deriving crucial 6G key performance indicators on hardware and technology design. Second, we present a new hardware technologies design methodology conceived to enable the effective software-hardware components integration required to meet the challenging performance envisioned for future 6G networks. Third, we suggest a paradigm shift towards goal-oriented and semantic communications, in which a totally new opportunity of joint design of hardware, artificial intelligence and effective communication is offered. The proposed vision is consolidated by our recent results on hardware, technology and machine learning performance.
翻译:目前现实是,为有效达到未来6G服务和网络运作所需的前所未有的业绩指标,所需的硬件、技术和新材料尚未设计、测试或甚至尚不存在。今天,关于6G网络和服务优化所需的机器学习和人工智能支持的成本-效益权衡的可靠愿景已经缺失。这包括硬件效率、操作效率以及数据转让处理带来的不可估量的成本等可能支持。本文件的贡献是三重。这是第一份文件,提出了关于硬件和技术设计的关键6G关键业绩指标。第二,我们提出了一个新的硬件技术设计方法,目的是实现有效的软件-硬件组合,以满足未来6G网络所设想的挑战性业绩。第三,我们建议向目标导向和语义通信转变模式,其中提供了硬件、人工智能和有效通信联合设计的新机会。拟议的愿景通过我们最近的硬件学习成果和硬件学习整合。