Future Wi-Fi: enhanced indoor modelling and waveform design & analysis
Future Wi-Fi: enhanced indoor modelling and waveform design & analysis
批准号:
1791112
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Wi-Fi technologies are integral to our internet-connected lives. In excess of 70% of the world's wireless data passes over one of the global Wi-Fi standards. For more than 20 years the University of Bristol's Communication Systems and Networks (CSN) Group has contributed towards the development of these technologies, and to products that conform to them.WiFi presents opportunities for mobile working and cost savings which are attractive to many organisations. How-ever, security requirements pose a number of challenges with regard to unauthorised interception, exploitation or service denial and need to be considered in any installation. Encryption and authentication provide some of the answer, but there is also a need to determine from an Information Assurance (IA) perspective how far wireless sig-nals may 'leak' outside the intended coverage area. To this end there is an interest in understanding the indoor propagation environment with greater fidelity, to determine conditions which may cause an overall propagation loss lower than would be expected from spherical spreading in free space over the same distance.The first year will be spent developing an indoor ray-tracing model (this will extend the capabilities of the tool used in the Mobile Communications Lab). The model will consider different property types, wall thicknesses and material types, and will support arbitrary building structures (including large multi-user dwellings). The primary focus will be on the established 2.4 and 5.8 GHz bands however to future proof the model, mmWave frequencies (unlicensed 60GHz band) will be considered also to ensure support for future in-building radio standards such as IEEE 802.11ad.The ray-tracing model will be combined with full 3D antenna measurements, with sophisticated system-level simula-tors of the latest Wi-Fi standards (code already exists). In order to improve the accuracy of the model measurements will be made for a range of scenarios, for example propagation along corridors, false ceilings, cable ducts and stair-wells, with the goal of identifying cases which give a larger range than would normally be expected. Similarly MmWave measurements will be taken in several properties to tune, calibrate and verify the ray-tracing operation (i.e. the underlying diffraction and diffuse scatter interactions with walls, floors and ceilings. The project will make use of the CSN Group's multi-million pound equipment and facilities, such as our anechoic chamber and our wideband channel sounder and channel emulators.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
[L Sayer]
通讯作者:
L Sayer
DOI:
10.1109/pimrc.2018.8580850
发表时间:
2018-09
期刊:
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
影响因子:
--
作者:
[Fred Wiffen;Lawrence Sayer;M. Z. Bocus;A. Doufexi;A. Nix]
通讯作者:
Fred Wiffen;Lawrence Sayer;M. Z. Bocus;A. Doufexi;A. Nix
Polarimetric Diffuse Scattering Channel Measurements at 26 GHz and 60 GHz
26 GHz 和 60 GHz 下的偏振漫散射通道测量
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
[A Loiza Friere]
通讯作者:
A Loiza Friere
DOI:
10.1109/tap.2017.2748362
发表时间:
2017
期刊:
IEEE Transactions on Antennas and Propagation
影响因子:
5.7
作者:
[Dumanli S]
通讯作者:
Dumanli S
国内基金
海外基金
登录
查看更多内容
基于领域特征解耦的Wi-Fi感知泛化研究
-
批准号:JCZRQNB202600799
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:
-
依托单位:
基于Wi-Fi的多目标感知算法研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:15.0万元
-
批准年份:2024
-
负责人:陈晨
-
依托单位:
基于Wi-Fi的跌倒检测域自适应关键技术研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:15.0万元
-
批准年份:2024
-
负责人:唐承佩
-
依托单位:
面向真实应用场景的Wi-Fi后向散射通信关键技术研究
-
批准号:62372374
-
项目类别:面上项目
-
资助金额:50万元
-
批准年份:2023
-
负责人:房鼎益
-
依托单位:
基于层次结构信息的Wi-Fi人体室内定位与动作识别融合感知研究
-
批准号:62271188
-
项目类别:面上项目
-
资助金额:54万元
-
批准年份:2022
-
负责人:张勇
-
依托单位:
基于深度强化学习的NR-U与Wi-Fi公平共存接入机制研究
-
批准号:--
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2022
-
负责人:王玮
-
依托单位:
基于Wi-Fi信号的内河客船不安全驾驶行为辨识与预警方法研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2022
-
负责人:
-
依托单位:
基于Wi-Fi信号的非接触式目标运动跟踪关键技术研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2022
-
负责人:蒲巧林
-
依托单位:
基于Wi-Fi感知的室内穿墙场景下无源人体目标检测与定位技术研究
-
批准号:62101085
-
项目类别:青年科学基金项目(C类)
-
资助金额:30.0万元
-
批准年份:2021
-
负责人:杨小龙
-
依托单位:
基于Wi-Fi的人体动作智能感知关键技术研究
-
批准号:62172385
-
项目类别:面上项目
-
资助金额:59万元
-
批准年份:2021
-
负责人:杨威
-
依托单位: