ID	原文	译文
57128	在此基础上,设计了一种事件触发功率控制算法,通过理论分析验证了算法具有渐近稳定性,并进行了事件触发芝诺效应分析,分析结果表明,所设计事件触发机制的相邻2次触发时间间隔存在非零下界(即不存在芝诺效应).	The study integrates the event-trigger mechanism developed in control field into the power control algorithm，designs an event-triggered power control algorithm，analyzes，and verifies the stability of the algorithm. The focus is also on the event-triggered Zeno effect analysis.
57129	最后利用数值仿真验证了所设计事件触发功率控制算法的渐近稳定性以及验证了芝诺效应并不存在.	Simulations verify that the designed power control algorithm is the asymptotic stable and the Zeno effect does not exist.
57130	为实现云无线接入网络(C-RAN)系统低时延数据传输,提出了一种基站缓存和前向链路组播传输模式,通过联合优化前向链路波束和接入链路波束,使系统传输时延最小.	In order to achieve low-latency data transmission in the cloud wireless access network ( C －ＲAN) ，a base station caching and fronthaul link multicast transmission mode is proposed to minimize thesystem transmission delay by jointly optimizing fronthaul link beamforming and access link beamforming.
57131	采用L0范数逼近、连续凸逼近和半正定松弛技术,将非凸的时延最小化问题转化为凸问题,并提出了一种有效的迭代算法以获得问题的解.	The non-convex time delay minimization problem is transformed into a convex one by using L0 norm ap?proximation，successive convex approximation and semi-definite relaxation techniques. An effective itera?tive algorithm is proposed to obtain the solution of the problem.
57132	不同于传统基于缓存的C-RAN组播传输方案,所提方案可根据基站缓存内容和前向链路信道质量,决定基站的服务状态,即暂停服务和继续服务.	The proposed scheme can determine theservice status of base stations，which are suspended service，continuing service status according to thecontent cached by base stations and the channel quality of fronthaul link. They are different from the tra?ditional multicast transmission for cache-enabled C－ＲAN.
57133	仿真结果表明,相比于传统方案,所提方案可有效地降低系统的传输时延.	Simulations show that compared with the tradi?tional scheme，the proposed scheme can effectively reduce the system transmission delay
57134	目前常用的微机电系统磁传感器存在时变的软磁和硬磁误差,这些误差严重影响基于地磁的航向估计以及地磁匹配定位算法性能.	Currently commonly-used micro electro mechanical system magnetic sensors have time-varyingsoft magnetic and hard magnetic errors，which seriously affect the performance of geomagnetic-based head?ing estimation and geomagnetic matching positioning algorithms.
57135	利用行人正常行走过程中产生的机会性自然旋转,使用陀螺仪感知磁传感器小尺度姿态改变,构建包含多个优选磁观测对的基于余差动态加权的非线性目标代价函数,使用具有全局最优解的布谷鸟非线性优化算法在线动态估计软磁和硬磁误差.	Using the opportunistic natural rotationof pedestrians during normal walking，the gyroscope is used to sense the small-scale attitude changes ofmagnetic sensors，and a nonlinear objective cost function based on residual dynamic weighting is construc?ted，which contains multiple optimal magnetic observation pairs. The cuckoo nonlinear optimization algo?rithm with global optimal solution is used to dynamically estimate the soft and hard magnetic errors on?line.
57136	使用所提磁校准算法可降低3.09°的平均航向误差.在行人航位推算算法上进行测试,航位估计相对误差为2.09%.	The average heading error of 3. 09 degrees can be reduced by using the proposed magnetic calibra?tion algorithm，and the relative error of the navigation estimation is 2. 09% when tested on the pedestriandead reckoning algorithm.
57137	由于建筑材料的遮挡和吸收,室内的无线信号严重受损,致使全球卫星导航系统在室内场景中效果并不理想,因此基于基站的室内定位技术成为关键,其定位性能与基站标定精度关系密切.	The global navigation satellite system does not work ideally，because the satellite signal decaysrapidly indoors due to the occlusion and absorption of building materials. As a result，the localizationtechnologies based on beacons become state-of-art indoor localization technologies. The accuracy of theselocalization technologies is tightly related to the beacons’calibration accuracy.