基于认知无线电的军事电磁频谱管理研究

基本采用固定的管理方式的军用电磁频谱管理频谱利用率低,认知无线电是实现有效利用电磁频谱的关键技术,所以考虑将认知技术应用到电磁频谱管理中.介绍了认知无线电的基本概念及关键技术,分析了当前的电磁频谱管理的现状,发现其存在的局限性,进而提出基于认知无线电的军用电磁频谱管理的设想并给出了由此带来的优势.最后探讨了基于认知无线电的军事电磁频谱管理面临的技术难题.     

浅析军用认知无线电

认知无线电作为一种智能无线电技术,可赋予军用无线通信系统以电磁环境感知能力,有效解决战场频谱利用率和管理的问题,对军事通信产生了深远的影响.本文首先论述了军用认知无线电的现状,接着提出了军用认知无线电的定义,重点分析了军用认知无线电的特点和网络要求,最后对军用认知无线电面临的机遇和挑战作了简要展望.     

浅析战术无线通信

战术无线通信作为指挥末端的通信方式,因其在作战过程中面临的诸多"不确定性",已成为作战任务网络规划、战场电磁频谱管理以及联合作战信息通信研究的重要内容。文章概述了战术无线通信的定义、研究的主要内容及关键技术,从波形运用的角度对战术无线通信的组织结构进行了详细描述和分析,并对战术无线通信的发展趋势和下一步研究方向进行了展望。     

浅析军事通信应用认知无线电技术效果研究

随着科学技术的不断发展,军事通信领域越来越重视对认知无线电技术的应用。认知无线电技术具有接入灵活的特点,能有效实现时间与空间上频谱的动态共享,提高频谱的利用率,在军事通信应用中有着重要作用。文章介绍了认知无线电技术的特点及分类,简述了认知无线电技术在军事通信中的应用,并对其应用效果进行分析,最大限度地发挥认知无线电的作用,从而增强我国军队的作战能力。     

认知无线电在军事电磁频谱管理中的运用研究

认知无线电作为一种智能无线电技术,能有效解决战场频谱利用率和管理的问题,将对军事电磁频谱管理产生深远的影响。本文论述了军用电磁频谱管理的现状,介绍了认知无线电的定义,重点分析了认知无线电在军事电磁频谱管理的运用研究问题,并对军事电磁频谱管理运用认知无线电技术还需要做的工作作了简要阐述。     

多智能体在认知无线电频谱管理中的应用研究

基于多智能体系统的认知无线电技术研究是近年来通信领域的热点问题。阐述了多智能体系统的基本概念,对智能体和多智能体系统运行机制进行了介绍,并从适用于认知无线电网络的智能体模型设计和多智能体运行机制的应用两方面,对近年来用于认知无线电网络频谱管理的多智能体技术作了总结。     

认知无线电网络架构与协议体系

认知无线电网络具有动态、灵活、智能地使用频谱资源,提高频谱利用率的特点,其网络结构和协议体系的设计是实现上述网络功能的关键。现有基于认知无线电技术的网络架构主要有美国的CORVUS系统,基于IEEE 802.22的无线局域网(WRAN)和支持多信道多接口的无线Mesh网络;协议体系有CORVUS协议体系,军用的XG系统协议及WRAN协议等。     

海上大型编队无线通信网络研究

针对中国海军海上大型编队发展趋势以及编队通信需求,在研究认知无线电Ad H..技术的基础上,构建了基于认知无线电和Ad Hoc网络技术的海上大型编队无线通信网络,分析了其网络框架、频率分配以及频谱检测策略.研究结果表明,论文构建的海上大型编队无线通信网络能够有效解决海上大型编队通信存在的空间范围大、外界干扰多、电磁环境变化快、平台机动性强等问题,具有较好的理论研究价值和军事应用前景.     

频谱感知技术在短波通信中的应用

为了提高短波通信的频谱利用率,需要对短波频谱进行实时准确的频谱感知.针对短波信道特点,对几种频谱感知方法能否适用于短波通信系统进行了分析.结合国内外军用认知无线电的发展,并充分利用能量检测速度快、循环谱特征检测精度高的优点,提出了一种能量和循环谱特征联合检测的方法,并给出了基于感知技术的短波电台的基本架构,为缓解短波信道资源紧张提供了一条途径.     

基于认知无线电的无线通信研究现状

归纳了从软件无线电到认知无线电功能的演进。认知无线电是在软件无线电的基础上提出的智能化的无线通信技术,它着力解决频谱资源的有效利用问题;认知无线电概念的提出将对现行的频谱管理体制提出挑战,并给无线通信带来新的发展空间。软件无线电在其系统硬件无需变更的情况下,可以在不同的时候根据需要通过软件加载来完成不同的功能。认知无线电可以感知周围电磁环境,通过无线电知识描述语言（RKRL）与通信网络进行智能交流,并实时调整传输参数,以达到无论何时何地都能达到通信系统的高可靠性和频谱利用的高效性。文中在此基础上探讨了认知无线电技术未来发展值得关注的热点问题。     

基于认知无线电的ROF-PON光无线接入技术

文章提出了基于认知无线电的光纤无线通信系统-无源光网络(ROF-PON)光无线接入网络系统结构。该方案光纤中直接传输射频信号。光层可采用波分复用-无源光网络(WDM-PON)技术(也可以是一个定制的光接入层)。远端的光网络单元(ONU)将得到的传感信息回传到中心局(CO),应用认知无线电技术进行处理。频谱感知和信道接入等都在CO处理,降低了整个系统的复杂度,发挥了光纤无线通信系统(ROF)的优势,也发挥了认知无线电在管理频谱方面的特长。     

基于SDN的战术通信网络架构研究

战术通信网络具有高动态、弱连接、低带宽和多链路备份等特性,软件定义网络（software defined network,SDN）技术通过传统网络控制设备软硬件解耦,将核心控制功能软件化,通过集中控制策略获取全局视图,从而实现资源的灵活调度与信道资源的高效利用,推动战术通信网络朝着更加智能化的弹性适变网络发展。首先介绍了SDN的发展现状及优势,分析了传统架构战术通信网络的若干问题,并对SDN技术在外军战术通信领域的应用情况进行了分析,提出了SDN在军事通信领域应用的可行性思路,对应用场景进行了构想,最后对SDN在军事通信领域的应用可行性进行了总结。     

基于认知无线电的农业物联网架构的研究

物联网是当今研究的一个热门技术,我国作为农业大国,在现代化大农业的发展中,物联网技术在智慧农业中得到很好的应用。认知无线电是一类智能无线通信技术,能够通过对周边环境的感知而发现空闲的可用频谱资源,从而提高频谱利用率。将农业物联网与认知无线电技术相结合,能够缓解农业物联网所面临的频谱资源紧张问题。分析了物联网频谱研究涉及的方面和频谱管理的现状,将认知无线电频谱感知技术应用到农业物联网环境中,研究基于认知的农业物联网的网络架构,提出了认知无线电技术在农业物联网中应用带来的挑战。     

基于生存系统模型的认知无线电网络频谱管理自治系统设计

针对动态频谱接入和认知无线电技术对频谱管理的新要求,采用分层的频谱管理理念,基于生存系统模型(Viable System Model,VSM)设计适合认知无线电网络的频谱管理自治系统,该系统通过节点参与频谱管理,网络自我约束等措施,实现认知无线电网络对频谱的自治。最后,将该系统应用于一种异构网络共存的频管案例设计中,仿真分析表明:本文提出的基于VSM的频谱管理自治系统响应时间大幅度降低;认证效率为O(1),较传统方式性能有很大提升。     

CRAHNs: Cognitive radio ad hoc networks

Cognitive radio (CR) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. CR networks, equipped with the intrinsic capabilities of the cognitive radio, will provide an ultimate spectrum-aware communication paradigm in wireless communications. CR networks, however, impose unique challenges due to the high fluctuation in the available spectrum as well as diverse quality-of-service (QoS) requirements. Specifically, in cognitive radio ad hoc networks (CRAHNs), the distributed multi-hop architecture, the dynamic network topology, and the time and location varying spectrum availability are some of the key distinguishing factors. In this paper, intrinsic properties and current research challenges of the CRAHNs are presented. First, novel spectrum management functionalities such as spectrum sensing, spectrum sharing, and spectrum decision, and spectrum mobility are introduced from the viewpoint of a network requiring distributed coordination. A particular emphasis is given to distributed coordination between CR users through the establishment of a common control channel. Moreover, the influence of these functions on the performance of the upper layer protocols, such as the network layer, and transport layer protocols are investigated and open research issues in these areas are also outlined. Finally, a new direction called the commons model is explained, where CRAHN users may independently regulate their own operation based on pre-decided spectrum etiquette.     

认知无线网络架构与关键技术研究

认知无线网络是一种开放性的智能网络,通过网络环境的学习分析,对网络状态进行规划、决策和响应。认知无线网络使网络从静态工作模式发展到动态自适应工作模式,从单一封闭式网络发展到异构融合网络,是解决网络容量受限,实现频谱高效利用和异构网络融合的有效途径之一。认知无线网络的相关研究在国家973项目的支持和项目组各单位的共同努力下取得了长远发展,主要讨论认知无线网络架构的理论模型、实现功能以及部署实现,然后分析了支撑架构的关键技术研究,主要包括多域主动认知方法、自主资源决策管理、无线自主传输机制以及体系结构适变技术等。     

应急通信网络的动态频谱接入方案研究

利用认知无线电的动态频谱接入技术,提高应急通信网络在突发事件中的反应效率已成为无线通信领域的研究热点。对认知无线电的几种动态频谱接入方案进行了探索及研究。由分析可知,选择合适的接入方案,将会形成认知用户间的良性竞争,降低CR业务的通信中断率,从而增大系统的吞吐量,提升整个系统的性能。     

A survey on spectrum management in cognitive radio networks [cognitive radio communications and networks]

Cognitive radio networks will provide high bandwidth to mobile users via heterogeneous wireless architectures and dynamic spectrum access techniques. However, CR networks impose challenges due to the fluctuating nature of the available spectrum, as well as the diverse QoS requirements of various applications. Spectrum management functions can address these challenges for the realization of this new network paradigm. To provide a better understanding of CR networks, this article presents recent developments and open research issues in spectrum management in CR networks. More specifically, the discussion is focused on the development of CR networks that require no modification of existing networks. First, a brief overview of cognitive radio and the CR network architecture is provided. Then four main challenges of spectrum management are discussed: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility.     

A Framework for Cognitive WiMAX With Frequency Agility

Cognitive radios have the ability to sense the radio spectrum environment and to switch dynamically to available frequency ranges. Mobile WiMax is an emerging wireless networking standard that could potentially benefit from cognitive radio technology. We develop a framework for applying cognitive radio technology to mobile WiMax networks to increase capacity and simplify network operations. In the proposed cognitive WiMax architecture, base stations are equipped with sensitive detectors and assign channels to subscriber stations dynamically based on spectrum availability. Power control is employed to increase frequency reuse in conjunction with spectrum sensing. Using computer simulation, we evaluate the performance of ldquocognitive channel assignmentrdquo relative to conventional dynamic channel assignment. Our numerical results show that cognitive radios can substantially increase the capacity of emerging WiMax networks by exploiting inherent spectrum hole opportunities. The key performance parameters determining the achievable capacity of cognitive WiMax networks are the detection and interference range, which depend in turn on characteristics of the radio propagation environment.     

Lightweight distributed geographical: a lightweight distributed protocol for virtual clustering in geographical forwarding cognitive radio sensor networks

Recent literature characterizes future wireless sensor networks (WSN) with dynamic spectrum capabilities. When cognitive radio is introduced as a main component of a network, a network management protocol is needed to ensure network connectivity and stability especially in highly dynamic environments. Implementing such protocols in WSN opens more challenges because of the resource constraints in sensor networks. We propose a distributed lightweight solution that fulfills this need for WSN. With this protocol, a node in a multichannel environment is quickly able to establish a control channel with neighboring nodes. Lightweight distributed geographical either increases or reduces the coverage area of the control channel based on perceived interference and adequately takes care of intersecting nodes with minimal overhead. By identifying local minima nodes, it also has the potentiality of reducing route failure by 70% further reducing the time and energy overhead incurred by switching to angle routing or maximum power transmission schemes usually used to solve the local minima issue. The work shows best operating values in terms of duty cycle and signal to noise ratio threshold frequencies and the lightweight nature of lightweight distributed geographical in terms of energy and communication overhead, which suits network management protocols for cognitive radio sensor networks. Copyright © 2013 John Wiley & Sons, Ltd.