WiFIUS: Collaborative Research: Ambient Re-Scatter Inspired Machine Type Communication for Heterogeneous IoT Systems
WiFIUS: Collaborative Research: Ambient Re-Scatter Inspired Machine Type Communication for Heterogeneous IoT Systems
批准号:
1702850
负责人:
Miao Pan
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-04-01 至 2020-03-31
中文摘要
物联网(IoT)具有潜在的优势和众多的应用,从智能城市到辅助生活。物联网预计在未来十年将产生数万亿美元的经济影响。物联网是物理对象的网络,其连接需要低功耗,长电池寿命,低占空比和大量低成本设备。基于最近标准化的用于机器类型通信的窄带物联网(NB-IOT)技术,所提出的方案的目标是向现有的NB-IOT通信系统添加低成本的环境再散射(ARS)设备,这可以显著提高整体系统容量,并且可以在NB-IOT和ARS系统之间共享多余的容量。因此,该项目能够以频谱和节能的方式将超低功耗设备集成到通信系统中。还提出了允许ARS设备彼此协作以及与其他网络协作的新方法和传输方案。该项目的成功将推动此类超低功耗物联网解决方案的发展。拟议研究工作的变革性和跨学科性质将促进通信工程的知识,该项目的成果可能被工业界用于网络开发,并影响未来的工业化。该项目还将加强美国和芬兰在无线通信研究领域的合作。该项目的目标是通过将新兴的机器类型通信系统与超低功耗ARS设备相结合,构建新的高效和安全的物联网连接解决方案,通过以下四个协同目标来增强物联网应用:(1)通信系统设计和基本性能分析,这将开发鲁棒的非相干方法,允许网络在传输数据的同时与ARS通信,开发在接收器处联合接收网络和ARS数据的信号处理方法,并对具有ARS节点的信道进行基于射线追踪的详尽模拟,并将结果应用于确定系统的可行操作点;(2)新颖的无线电资源管理方案,其利用匹配理论来在所提出的具有ARS的NB-IoT中开发高性能、低复杂度、分散和实用的解决方案;(3)物联网部署的安全机制,将涵盖MIMO反向散射中的物理层安全和低成本网络安全,考虑到拟议系统的物理和低成本性质;(4)系统和协议开发,这将通过建立一个将LTE的NB-IoT版本与ARS集成的测试床来证明系统设计的适用性。
英文摘要
Internet of Things (IoT) has potential benefits and numerous applications, ranging from smart cities to assisted living. IoT is also expected to have many trillion dollars economic impact in the next decade. IoT is a network of physical objects, whose connectivity requires low power consumption, long battery life, low duty cycle and massive number of low cost devices. Based on the recently standardized Narrowband IoT (NB-IOT) technique for machine type communications, the proposed scheme targets adding low cost Ambient Re-Scatter (ARS) devices to an existing NB-IOT communication system, which can significantly improve the overall system capacity and the excess capacity can be shared between the NB-IOT and ARS systems. Hence, this project enables to integrate ultra-low power devices to the communication systems in spectral and energy efficient manners. Novel methods and transmission schemes allowing ARS devices to collaborate with each other and with other networks are also proposed. The success of this project will boost such ultra-low power IoT solutions. The transformative and interdisciplinary nature of the proposed research work will advance the knowledge of communications engineering, and the outcomes of the project can potentially be used by industry for network development and impact future industrial standardizations. This project will also strengthen collaboration in the research field of wireless communications between the United States and Finland.This project targets enhancing IoT applications through constructing new efficient and secure IoT connectivity solutions by combining emerging machine type communication system with ultra-low power ARS devices via four synergistic thrusts: (1) communication system design and fundamental performance analysis, which will develop robust non-coherent methods that allow the network to communicate with ARS while transmitting data, develop signal processing methods for joint reception of network and ARS data at the receiver, and conduct exhaustive ray-tracing based simulations of the channel with ARS nodes and apply the results to identify feasible operation point for the system; (2) novel radio resource management schemes that exploit matching theory to develop high performance, low complexity, decentralized, and practical solutions in proposed NB-IoT with ARS; (3) security mechanisms for IoT deployment, which will cover both physical layer security in MIMO backscatter and low cost cyber security, considering the physical and low cost natures of the proposed system; (4) system and protocol development, which will demonstrate the applicability of the system design by building a test-bed that integrates the NB-IoT version of the LTE with ARS.
期刊论文(17)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.1109/mcom.001.1900464
发表时间:
2020-02-01
期刊:
IEEE COMMUNICATIONS MAGAZINE
影响因子:
11.2
作者:
[Duan, Ruifeng, Wang, Xiyu, Han, Zhu]
通讯作者:
Han, Zhu
DOI:
10.1109/tcomm.2017.2710338
发表时间:
2017-09-01
期刊:
IEEE TRANSACTIONS ON COMMUNICATIONS
影响因子:
8.3
作者:
[Dinh Thai Hoang, Niyato, Dusit, Han, Zhu]
通讯作者:
Han, Zhu
DOI:
10.1109/mwc.2017.1600398
发表时间:
2018-04-01
期刊:
IEEE WIRELESS COMMUNICATIONS
影响因子:
12.9
作者:
[Lu, Xiao, Niyato, Dusit, Han, Zhu]
通讯作者:
Han, Zhu
DOI:
10.1109/twc.2017.2779857
发表时间:
2018-03-01
期刊:
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
影响因子:
10.4
作者:
[Lu, Xiao, Jiang, Hai, Han, Zhu]
通讯作者:
Han, Zhu
DOI:
10.1109/tcomm.2019.2899301
发表时间:
2019-02
期刊:
IEEE Transactions on Communications
影响因子:
8.3
作者:
[Mohamed A. Elmossallamy;M. Pan;Riku Jäntti;Karim G. Seddik;Geoffrey Y. Li;Zhu Han]
通讯作者:
Mohamed A. Elmossallamy;M. Pan;Riku Jäntti;Karim G. Seddik;Geoffrey Y. Li;Zhu Han
共 14 条
Collaborative Research:CISE-MSI:DP:CNS:Enabling On-Demand and Flexible Mobile Edge Computing with Integrated Aerial-Ground Vehicles
-
批准号:2318664
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2023
-
负责人:Miao Pan
-
依托单位:
Collaborative Research: CNS Core: Medium: Towards Federated Learning over 5G Mobile Devices: High Efficiency, Low Latency, and Good Privacy
-
批准号:2107057
-
项目类别:Continuing Grant
-
资助金额:$50.0万
-
财政年份:2021
-
负责人:Miao Pan
-
依托单位:
RAPID: Collaborative: Location Privacy Preserving COVID-19 Symptom Map Construction via Mobile Crowdsourcing for Proactive Constrained Resource Allocation
-
批准号:2029569
-
项目类别:Standard Grant
-
资助金额:$10.0万
-
财政年份:2020
-
负责人:Miao Pan
-
依托单位:
NeTS: Medium: Collaborative Research: Riding the Stress Wave: Integrated Monitoring, Communications, and Networking for Subsea Infrastructure
-
批准号:1801925
-
项目类别:Continuing Grant
-
资助金额:$66.0万
-
财政年份:2018
-
负责人:Miao Pan
-
依托单位:
CPS: Synergy: Collaborative Research: DEUS: Distributed, Efficient, Ubiquitous and Secure Data Delivery Using Autonomous Underwater Vehicles
-
批准号:1646607
-
项目类别:Standard Grant
-
资助金额:$60.0万
-
财政年份:2017
-
负责人:Miao Pan
-
依托单位:
CAREER: SpecMax: Spectrum Trading and Harvesting Designs for Multi-Hop Communications in Cognitive Radio Networks
-
批准号:1613661
-
项目类别:Continuing Grant
-
资助金额:$43.0万
-
财政年份:2015
-
负责人:Miao Pan
-
依托单位:
EARS: Collaborative Research: Cognitive Mesh: Making Cellular Networks More Flexible
-
批准号:1613682
-
项目类别:Standard Grant
-
资助金额:$16.67万
-
财政年份:2015
-
负责人:Miao Pan
-
依托单位:
CAREER: SpecMax: Spectrum Trading and Harvesting Designs for Multi-Hop Communications in Cognitive Radio Networks
-
批准号:1350230
-
项目类别:Continuing Grant
-
资助金额:$43.0万
-
财政年份:2014
-
负责人:Miao Pan
-
依托单位:
EARS: Collaborative Research: Cognitive Mesh: Making Cellular Networks More Flexible
-
批准号:1343361
-
项目类别:Standard Grant
-
资助金额:$28.66万
-
财政年份:2014
-
负责人:Miao Pan
-
依托单位:
海外基金