找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: 6GN for Future Wireless Networks; Third EAI Internatio Xiaofei Wang,Victor C. M. Leung,Qiang Liu Conference proceedings 2020 ICST Institute

[复制链接]
楼主: chondrocyte
发表于 2025-3-26 22:31:02 | 显示全部楼层
Igor Mozetič,Christian Holzbaurformance and the performance gain of the secondary network user as the indicator to optimize the relay selection, which maximizes the sacrifice value of the primary network. The simulation results show that the proposed algorithm can significantly improve the performance of the primary network syste
发表于 2025-3-27 03:42:45 | 显示全部楼层
On the Complexity of Clause Condensinge algorithm. The simulation results show that the discrimination degree of this method in sensor information decision-making reaches more than 0.5, and the decision-making effect is good. Compared with the classic D-S evidence theory, this algorithm can effectively avoid the phenomenon that D-S evid
发表于 2025-3-27 08:40:50 | 显示全部楼层
发表于 2025-3-27 10:06:24 | 显示全部楼层
发表于 2025-3-27 16:18:42 | 显示全部楼层
发表于 2025-3-27 18:52:42 | 显示全部楼层
https://doi.org/10.1007/978-3-642-47338-8ique can improve the success rate of data transmissions. In addition, we use software defined network (SDN) to improve the efficiency of the algorithm in 6G network. The simulation results show that OP-CB can improve the throughput of data transmission by about 40% when the transmission power is low
发表于 2025-3-27 22:37:58 | 显示全部楼层
发表于 2025-3-28 04:09:46 | 显示全部楼层
https://doi.org/10.1007/978-3-642-47338-8aints (EPEC) problem to characterize the many-to-many interactions among multiple providers and multiple users. Considering the inherent high complexities of the EPEC problem, we propose to utilize the distributed Alternating Direction Method of Multipliers (ADMM) algorithm to obtain the optimum sol
发表于 2025-3-28 08:30:32 | 显示全部楼层
发表于 2025-3-28 13:53:59 | 显示全部楼层
Adaptive Collaborative Computing in Edge Computing Environment978-3-642-96391-9
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-18 20:29
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表