ID	原文	译文
3253	并基于太赫兹和区块链等技术对频段向上延伸和频谱资源共享等未来重点研究方向进行了讨论与展望。	Based on technologies such as terahertz and block chain,the future strategic exploratory trends such as the upward extension of frequency bands and the sharing of spectrum re-sources were discussed and prospected.
3254	面向未来 6G 移动通信的大规模网络移动边缘计算与缓存技术，首先，介绍了大规模无线网络下移动边缘计算和缓存的架构与原理，并阐释了移动边缘计算和缓存技术在大规模无线网络中的必要性和普适性。	For the large-scale network mobile edge computing and caching technology of future 6G mobile communica-tions, firstly, the architectures and principles of mobile edge computing and caching in large-scale wireless networks were introduced, and the necessity and universality were clarified.
3255	接着，从计算卸载、边缘缓存、多维资源分配、用户关联和隐私保护这 5 个关键问题出发，综述和分析了移动边缘计算和缓存赋能大规模无线网络时会引入的新型关键问题以及对应的解决方案研究，并进一步指出了未来的发展趋势和研究方向。	Then, from the perspective of the five key issues in the mo-bile edge computing and caching enabled large-scale wireless network, including computing offloading, edge caching,multi-dimensional resource allocation, user association and privacy protection, the recent researches and further pointedout the future development trends and research directions were reviewed and analyzed.
3256	最后，针对隐私保护问题，提出了一种基于联邦学习的隐私保护方案，并通过仿真结果表明所提方案能够同时保护用户数据隐私且改善系统服务质量。	Finally, for the privacy preserva-tion issue, a federated learning based privacy-preserving scheme was proposed. Simulation results show that the proposed scheme can simultaneously preserve user privacy and improve the quality of service.
3257	面对未来 B5G/6G 网络是大连接复杂智能网络，极其大量的用户连接、需求连接、服务连接，加之 3G、4G、5G 甚至 6G 的综合运用，将导致网络变得极其复杂的挑战，提出了一种三三三网络体系架构，它是一个包含 3 类网络（核心网、接入网、终端网）、3 种资源（频率带宽、功耗、时延）和 3 项需求（生活、工作、服务）的三维立体综合优化的体系架构，简称三三三网络。	Aiming at the problem that the future B5G/6G network is a complex intelligent network with large connections,coupled with the comprehensive application of 3G, 4G, 5G and even 6G, the future networks will inevitably become ex-tremely complex, a three-three-three network architecture was proposed that was a network that includes three types ofnetworks (core network, access network and terminal network), three resources (frequency band, power and time con-sumptions) and three requirements (active, work and service), which was a three-dimensional comprehensive optimiza-tion system architecture, referred to as the three-three-three network.
3258	进而，论证了三维立体复杂体系的数学计算式，给出了知识+数据驱动学习模型和利用知识学习机制进行智能处理的优化方法。	Furthermore, the mathematical basic formulas of thethree-dimensional complex network were analyzed, the knowledge + data-driven learning model and the optimization method of intelligent processing using the knowledge learning mechanism were presented.
3259	最后，给出了三三三网络的数值例和可达性能。	Finally, the numerical exam-ple and reachable performance of the three-three-three network were given.
3260	研究结果表明，所提三三三网络体系架构和优化方法对于设计和运行未来的大连接复杂智能网络是有益的。	Those results demonstrate that the proposed network architecture and the learning optimization mechanism are beneficial for designing future large-connected com-plex intelligent networks.
3261	为了提高系统容纳连接设备的能力，提出了一种适用于毫米波大规模多输入多输出系统的联合时域−波束域非正交多址接入方案。	In order to improve the system's ability to accommodate connected devices, a joint time and beam domainnon-orthogonal multiple access (NOMA) scheme was proposed, which was suitable for millimeter wave massive mul-tiple-input multiple-output (MIMO) systems.
3262	该方案利用用户空间信道的相关性和差异性实现波束域接入，利用稀疏扩频技术实现时域接入，	The correlation and difference of the users' channel were utilized to realizebeam-domain NOMA, and sparse spreading technology was utilized to realize time-domain NOMA.