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12-16

2020

LTE网络PCI冲突优化策略及实践
LTE网络中,存在过覆盖和PCI规划不合理的情况,易引起PCI冲突从而导致RF覆盖质量问题。通过对自动添加邻区(ANR)的信息进行分析,可以发现站点的PCI冲突问题,进一步分析可得到站点越区覆盖情况。通过分析现网的PCI冲突和越区覆盖情况,可以有效指导后期的规划,使用冲突较少的PCI可以减少现网的PCI冲突概率,提升网络的整体性能

12-16

2020

High precision indoor positioning method based on UWB
In order to meet the increasing requirement of indoor positioning, a high precision positioning method based on UWB is designed and imple- mented. Firstly, the ranging method and its Improvement are discussed. Se- condly, combining median filter and Kalman filter algorithm, the collected data are processed smooth method to get stable ranging data. Finally, the indoor real-time positioning system is realized by using weighted least square position- ing algorithm. The test results show that when the refresh frequency is 10HZ, the ranging accuracy of the base station and the tag can reach 5cm.

12-16

2020

基于L2TP隧道的互动电视组播实现方法
基于L2TP隧道的互动电视组播实现方法可使组播业务关键协议--IGMP报文穿越家庭组网设备直达组播路由器,解决了复杂网络下组播报文传送的问题。该技术有效弥补了现网IP组播适用面缺陷,拓展了组播技术应用场景,从而可进一步降低CDN平台负载。

12-16

2020

一种L型微带谐振器加载的射频识别无芯片标签
将低成本的标签用于射频识别(radio frequency identification,RFID)系统有利于促进物联网(the internet of things,IoT)的发展,为了降低标签成本,提出了L型微带谐振器加载的无芯片标签。标签采用收发正交的两面超宽带(ultra wideband,UWB)圆盘单极天线,通过长度不等的L型微带谐振器和50 Ω传输相耦合构成L型微带谐振器加载无芯片标签。在4.80 ⁓ 10.93 GHz频带上得到了20 bits的频率位置编码容量;将幅度调制和频率位置调制进行混合编码后得到60 bits的编码容量。通过制作4 bits编码容量的几种典型编码的标签进行测试,测试结果和仿真结果基本一致。

12-16

2020

全频段VoLTE场景下的传输解决方案
PTN网络承载多种无线业务的规划是当前移动通信网络的重要课题。通过对4G和GSM业务承载的组网及保护方案的规划研究,提出面向全频段VoLTE场景的“二层充分共享、三层适度分离、容灾快速调度”传输解决新思路,并通过维护便利性、业务安全性以及5G承载演进说明方案的优势和推广价值。

12-15

2020

A Truthful Reverse-Auction Mechanism for Computation Offloading in Cloud-Enabled Vehicular Network
The growth of smart vehicles and computation- intensive applications poses new challenges in providing reliable and efficient vehicular services. Offloading such applications from vehicles to mobile edge cloud servers has been consid- ered as a remedy, although resource limitations and coverage constraints of the cloud service may still result in unsatisfac- tory performance. Recent studies have shown that exploiting the unused resources of nearby vehicles for application execution can augment the computational capabilities of application owners while alleviating heavy on-board workloads. However, encourag- ing vehicles to share resources or execute applications for others remains a sensitive issue due to user selfishness. To address this issue, we establish a novel computation offloading mar- ketplace in vehicular networks where a Vickrey–Clarke–Groves based reverse auction mechanism utilizing integer linear pro- gramming (ILP) problem is formulated while satisfying the desirable economical properties of truthfulness and individual rationality. As ILP has high computation complexity which brings difficulties in implementation under larger and fast changing network topologies, we further develop an efficient unilateral- matching-based mechanism, which offers satisfactory suboptimal solutions with polynomial computational complexity, truthfulness and individual rationality properties as well as matching stability. Simulation results show that, as compared with baseline methods, the proposed unilateral-matching-based mechanism can greatly improve the system efficiency of vehicular networks in all traffic scenarios.

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