关于复杂电磁环境下无线通信抗干扰技术的研究

随着人们生活水平的不断提高,各种工作于不同模式的无线设备越来越多,导致我们周围的电磁环境变得更加复杂,因此在这种新的环境下,无线通信中的抗干扰技术将变得至关重要。本文主要对复杂电磁环境下的无线通信抗干扰技术进行研究,同时对时间反转技术在无线通信抗干扰中的应用进行详细分析,并且在此基础上提出实现无线通信抗干扰技术的多元化、多方向发展策略。     

LTE无线通信技术与物联网技术的结合与发展

在介绍物联网与云计算定义的基础上,对其特有的业务形态进行了分析与总结,对LTE宽带无线技术如何更好地服务于物联网与云计算领域进行了探讨,并对现在的标准现状进行了分析。通过对物联网、云计算业务数据形态的分析,对未来由物联网带来的无线通信技术发展进行了展望。     

基于融合核心网的多频段电力无线专网研究

电力无线专网是全业务泛在电力物联网的重要支撑,国家电网公司积极研究提高电力无线专网可靠性、降低网络建设成本的方法,文中基于智能电网中不同业务应用场景和终端的通信需求,研究电力多频段无线通信系统中融合核心网(EPC)的实现方法,提出1800MHz和230MHz双频段融合的无线通信系统架构,设计研制了融合核心网系统,并在现场构建实验网进行了验证应用,测试结果表明该系统技术可靠,满足设计要求,对电力无线专网的灵活组网具有借鉴意义。     

LTE无线通信技术与物联网技术结合的探讨

文章对LTE无线通信技术进行了深入的探究,分析了物联网的基本架构以及物联网业务的模型,研究了LTE无线通信技术与物联网业务模型的适配性,提出了LTE无线通信技术与物联网技术结合的策略。     

电信运营商的创新转型——物联网接入技术NB-IoT

物联网是新一代信息技术的重要组成部分,也是"信息化"时代的重要发展阶段。本文从物联网业务前景分析开始,对比主流的物联网接入技术,重点分析当前最具优势的NB-Io T技术,并结合运营商现有的无线通信网络,给出了基于NB-Io T的物联网业务部署架构,并总结运营商在物联网业务上的先天优势,为物联网业务的全面开展提供参考。     

基于无线通信技术的物联网技术思想与应用策略研究

物联网技术是以无线通信技术为基础,产生相应的业务模型,在各行业领域中的应用逐渐受到重视,也是实现物与物之间信息通讯的关键。本文从物联网技术的实际应用出发,分析物联网特有的业务模型,探讨基于无线通信技术的物联网技术应用,希望为物联网技术水平的提升予以借鉴。     

浅析无线通信抗干扰技术的性能

无线通信系统其主要依靠电磁波来传递信息,在其传输阶段受到外界因素的影响较为严重,且成因较为复杂多样。无线通信技术在传递信息中所面临的干扰因素较多,其抗干扰技术能力急需提升。本文简单叙述了无线通信在日常中的应用和抗干扰技术发展现状,分析了具有代表性的集中无线通信抗干扰方式,以期为无线通信抗干扰技术性能的发展提供一定的参考建议。     

无线通信中的抗干扰措施分析

抗干扰技术的应用对于保证无线通信的良好运行具有重要作用。文章首先介绍了无线通信中的干扰类型,然后具体探讨了无线通信中抗干扰技术措施,以期为相关技术与研究人员提供参考。     

国外无线通信抗干扰技术研究进展

分析了当前无线通信抗干扰主要手段存在的不足,指出多维抗干扰和认知抗干扰是当前研究的主要热点。进一步介绍了非协同跳频(UFH)、消息驱动的跳频(MDFH)等国外近年提出的无线通信抗干扰新概念和技术及其研究情况,并总结了无线通信抗干扰措施的未来发展趋势,提出了发展建议。相关内容可为无线通信抗干扰技术的深入研究提供参考。     

光载无线通信系统传送60GHz毫米波无线信号

随着无线通信业务的发展越来越快,人们对无线通信带宽的需求也越来越高。目前主要的无线技术标准最高也只能提供Mbps的速率,已经不能满足无线技术发展需求。为了满足人们对无线通信带宽的需求,同时应对低频频谱即将耗尽的难题,本文将光载无线通信和60GHz毫米波的优势相结合,提出一个适合传送60GHz毫米波的光载无线通信系统,为以后的无线通信的系统结构提供参考。     

物联网通信中的无线信道抗干扰算法

在物联网通信中,无线信道的抗干扰性依然受到各种因素影响,多天线系统对信道质量改善有较好的效果,但其信号检测的复杂度和性能还需要进一步提升。基于 QR 分解的检测算法具有较低的计算复杂度,但检测性能有待改善。为了改善QR分解检测算法的性能,提出一种基于ML准则结合判决候选机制的QR分解算法,并对其性能进行了分析。该算法采用 ML 准则对初始层进行精确估计检测,而后对其他检测层进行可靠判决,不可靠则引入候选点并从中选择最优候选点进行反馈。该算法可以显著改善系统干扰,并且在判决回馈中大大减少错误传播。实验仿真表明,在增加一定复杂度的情况下,该算法能够有效改善物联网系统性能。     

5G IAB技术及在泛在电力物联网中的应用研究

随着泛在电力物联网概念的提出,电力无线专网的建设成为了行业的焦点。本文首先提出了电力行业的无线通信业务需求及引入IAB技术的必要性,然后分析了IAB的网络架构及拓扑自适应功能,再结合目前电力无线专网的技术体制,提出了IAB技术在电力无线专网特殊部署场景中的应用解决方案。     

用于电力物联网随机接入的低碰撞跳频通信系统

通信网络是电力物联网数据采集和信息传输的必要组成部分。为了适应未来多种电力业务爆发式发展，接入灵活和扩展性强的无线通信技术是电力物联网发展方向之一。面向电力物联网节点大规模接入、接入时刻随机、信息传输安全可靠性高等特点，提出一种随机接入下具有低碰撞概率的电力跳频通信方式，采用移位跳频序列组合方法给出了该跳频图案的产生方法。并通过理论计算和仿真给出了这类跳频序列特性和电力跳频通信系统传输误码率性能。通过分析验证了所提新型低碰撞跳频序列及其通信系统可以满足电力物联网大规模接入、高可靠通信需求，具有较好的应用前景。     

基于LoRa无线扩频通信的水情监测与预警系统

为解决目前水情监测系统中存在通信距离受限、功耗大、成本高、无法泛组网的问题,提出了一种基于LoRa（Long Range）扩频技术的水情监测与预警系统。通过采用新型的LoRa无线扩频技术,使用无线传感器网络自适应占空比协议优化网络性能与功耗,并结合当前流行的微控芯片、传感器与阿里云物联网（Internet of Things,IoT）平台,构建了一套覆盖范围广、低功耗、低成本、组网灵活简单、能远距离通信、抗干扰能力强的水情远程监测与预警系统。系统设计完成后,在长江水域重庆段对系统进行了测试,验证了系统设计的可行性、组网通信的有效性以及远距离传输数据的特性,为水文水情数据的自动化远程监测提供了一种新的技术方案。     

Development of Wi-Fi Based Home Energy Monitoring System for Green Internet of Things

Green Internet of things (IoT) has been heralded as the next big thing waiting to be realized in energy-efficient ubiquitous computing. Green IoT revolves around increased machine-to-machine communications and encompasses energy-efficient wireless embedded sensors and actuators that assist in monitoring and controlling home appliances. Energy efficiency in home applications can be achieved by better monitoring of the specific energy consumption by the appliances. There are many wireless standards that can be adopted for the design of such embedded devices in IoT. These communication technologies cater to different requirements and are classified as the short-range and long-range ones. To select the best communication method, this paper surveys various IoT communication technologies and discusses the advantages and disadvantages to develop an energy monitoring system. An IoT device based on the Wi-Fi technology system is developed and tested for usage in the home energy monitoring environment. The performance of this system is then evaluated by the measurement of power consumption metrics. In the efficient deep-sleep mode, the system saves up to 0.3 W per cycle with an average power dissipation of less than 0.1 W/s.     

通信·导航·物联一体化5G室内通信网络

4G 时代运营商已经沦为数据业务管道,5G 时代运营商将积极寻求业务转型。根据研究机构预测,室内定位及物联网市场前景广阔,运营商正在努力拓展相关领域的垂直行业应用。但是,现有室内通信网络功能单一,无法有效支撑室内定位和物联网业务。提出了一种通信·导航·物联一体化5G室内通信网络,通过在室分天线内部集成蓝牙模块,使其具备下行蓝牙定位、广告信息推送、链路损耗检测、上行物联收集和上行蓝牙定位等功能。该技术方案可应用于智慧医疗场景中,提供智慧导诊、设备管理、安防管理、后备保障和一键告警等服务。     

An application of meta-heuristic and nature-inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

The widespread use of Internet of Things (IoT) in various wireless sensor networks applications has increased their importance in recent years. IoT is a smart technology that connects anything anywhere at any time. These smart objects, which connect the physical world with the world of computing infrastructure, are expected to permeate all aspects of our daily lives and revolutionize a number of application domains such as healthcare, energy conservation, and transportation. As wireless networking expands, the disadvantage of wireless communication is clearly obvious. People's apprehension over the IoT's dependability has therefore skyrocketed. IoT networks' key requirements are dependability, channel security, fault tolerance, and reliability. Monitoring the IoT networks depends on the availability and correct functioning of all the network nodes. Recent research has proposed promising solutions to address these challenges. This article systematically examines recent articles that use meta-heuristic and nature-inspired algorithms to establish reliable IoT networks. Eighteen articles were analyzed in four groups. Results showed that reliable enhancement mechanisms in IoT networks increase fault node detection, network efficiency, and lifetime and attain energy optimization results in the IoT concept. Additionally, it was discovered in the literature that the current studies focus on how to effectively use edge network capabilities for IoT application executions and support, along with the related needs.     

A review on evolving domains of Internet of Things: Architecture,applications, and technical challenges

The Internet of Things (IoT) is a system that includes smart items with different sensors, advanced technologies, analytics, cloud servers, and other wireless devices that integrate and work together to create an intelligent environment that benefits end users. With its wide spectrum of applications, IoT is revolutionizing both the current and future generations of the Internet. IoT systems can be employed for broad-ranging real applications, such as agriculture, the environment, cities, healthcare, and the industrial sector. In this paper, we briefly discuss the three-tier architectural view of IoT, its different communication technologies, and the smart sensors. Moreover, we study various application areas of IoT such as the environmental domain, healthcare, agriculture, smart cities, and industrial, commercial, and general aspects. A critical analysis is shown for the existing schemes and techniques related to this work. Further, this paper addresses the basic context, tools and evaluation approaches, future scope, and the advantages and disadvantages of the aforestated IoT applications. A comprehensive analysis is provided for each domain along with its fundamental parameters like the quality of service (QoS), network longevity, scalability, energy efficiency, accuracy, and cost. Finally, this study highlights the technical challenges and open research problems existing in different IoT applications.     

UAV-based LoRaWAN flying gateway for the internet of flying things

The Internet of Things (IoT) is one of the paradigms related to the evolution of telecommunication networks which is contributing to the evolution of numerous use cases, such as smart city and smart agriculture. However, the current communication infrastructure and wireless communication technologies are not always able to guarantee a proper service for these IoT scenarios. Smart solutions are needed to overcome current terrestrial network limitations offering a cost-effective way to extend the current terrestrial network coverage. For example, temporary extensions “on-request” of the terrestrial infrastructure may be a viable solution to allow collecting data generated by nodes outside the current network coverage. Flying objects can help achieve this goal. Various studies supported the use of unmanned aerial vehicles (UAVs) as intermediate nodes between IoT devices and the network. However, such solutions have not been exhaustively tested yet in real-case scenarios. This paper proposes an efficient solution to collect data from multiple IoT sensors in rural and remote areas based on UAVs. It describes the implementation of the proposed UAV-based Long RangeWide Area Network (LoRaWAN) flying gateway able to collect data directly from LoRaWAN sensors during its flight, keep them stored in an onboard memory, and forward them at the end of its flying path to a platform where the authorized users can access them. A prototype of the gateway has been developed to assess the proposed solution through both indoor and outdoor tests aiming to test its feasibility both in terms of communication performance and UAV-required hardware resources.