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当前社会正处在科技高速发展的时代，无线通信技术的迅猛发展不仅推动了工业、交通、医疗等领域的数字化转型，也在不断升级无线通信网络，试图从有线向无线化迈进。随着计算机技术和无线通信技术的不断演进，许多应用场景要求在无线环境下实现高可靠传输。特别是面向现代工业自动化、自动驾驶等领域，对高可靠传输的需求更为迫切。深入研究了作为当前业界最先进的无线传输技术之一的5G技术，重点关注了5G系统内多路冗余传输技术。综述了该技术在应用背景、技术原理和技术路线方面的关键要点。在应用背景方面，突出了5G冗余传输在现代工业自动化、自动驾驶等无线场景中的实际应用需求。在技术原理方面，有针对性地从业务端到端多路冗余传输对有关研究进行归纳和梳理，重点分析5G多路冗余传输的技术原理，解释了其在提高传输可靠性方面的独特优势。在技术路线方面，综合考虑了5G多路冗余传输技术的发展方向和各种可能的实施路径。最后，指出5G多路冗余传输技术未来发展的困难和挑战，并探讨其未来发展趋势，以更好地理解5G冗余传输技术在无线通信领域的关键作用和前景

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Copyright of Journal of Policy & Complex Systems is the property of Policy Studies Organization and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunications Science is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunications Science is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To solve nonlinear 0-1 programming problems, this paper proposed a binary CFO ( BCFO) . It used the gravitational force to calculate the acceleration of the object, and employed the acceleration to update the position. To transform from the continuous position variables to discrete 0-1 variables, it adopted transfer functions,and used the benchmarks of nonlinear 0-1 programming problems to perform numerical experiments. It implemented performance comparison of BCFO, binary particle swarm optimization algorithm, and binary gravitational search algorithm using the set of benchmark test problems. The experimental results demonstrate that the proposed algorithm has significant advantages in the stability of solutions and computational accuracy. This paper provides a new method to solve the nonlinear 0-1 programming problems. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)