摘要
关于6G的讨论已在全球范围内展开,明确未来的应用场景将为6G的建设与应用提供参考。研究显示,6G的发展不仅面临技术问题,还面临很多非技术因素,主要涉及行业壁垒、频谱分配、应用场景和政策法规等。采用遗传算法的思想,提出了一种在6G时代,从技术角度挖掘应用场景的方法,尝试解决6G发展面临的非技术挑战之一——应用场景。首先,基于人类社会发展规律的理论研究确定场景的组成要素为技术+需求;其次,分别对两者进行了词条收集构成数据基础,并基于新事物出现的随机性,用联合随机抽样的方式挖掘新的组合;最后,由专家从需求满足度及技术成本两个方面评测抽样结果组合的合理性,并举出了一个新场景挖掘的应用案例来论证方法的有效性。
Discussions about 6G are already taking place globally, and it is clear that future application scenarios will provide reference for the construction and application of 6G. Research shows that the development of 6G faces not only technical problems, but also many non-technical factors, mainly involving industry barriers, spectrum allocation, application scenarios, policies and regulations, etc. This paper adopts the idea of genetic algorithm, and proposes a method for mining application scenarios from a technical perspective in the 6G era, trying to solve one of the non-technical challenges faced by 6G development-application scenarios. First of all, based on the theoretical studies of the laws of human social development,the components of the scenario are determined as: technology + demand. Then, the two entries are collected to form the data base. Based on the random nature of the emergence of new things, new combinations are mined with joint random sampling. Finally, experts evaluate the reasonableness of the combination of sampling results in terms of demand satisfaction and technical cost. At the end of this paper, an application case of new scenario mining is presented to demonstrate the effectiveness of the method.
作者
侯文军
白冰
喻炜
杨本植
HOU Wenjun;BAI Bing;YU Wei;YANG Benzhi(Beijing University of Posts and Telecommunications,Beijing 100876,China;Beijing Key Laboratory of Network System and Network Culture,Beijing 100876,China;China Mobile Research Institute,Beijing 100053,China)
出处
《通信技术》
2022年第11期1428-1436,共9页
Communications Technology
基金
6G新型业务趋势、业务模型及业务通信质量指标研究。
