认知无线电系统中频谱分配技术的研究及应用

随着无线通信技术的快速发展,无线用户的数量急剧增加,频谱资源越来越紧张,如何提高频谱的利用率成为亟待解决的问题。认知无线电系统中的频谱分配技术,使这一问题得到了有效解决。文章简要介绍了认知无线电频谱分配的背景、研究现状,对认知无线电频谱分配的模型进行了分析,介绍了频谱分配发展过程中存在的问题,最后简要论述了频谱分配技术的一些应用。     

认知无线电中一种基于OFDM技术的频谱资源控制方法研究

随着无线通信技术的迅速发展,频谱资源变得越来越紧张,如何充分利用频谱资源成为热点问题。认知无线电技术是解决这一问题的新方法,而OFDM(正交频分复用)技术灵活的选频方案为实现认知无线电系统提供了良好的平台。文章提出了一种基于OFDM的认知无线电系统,并从三个方面阐述了OFDM技术在认知无线电中是如何实现频谱资源控制的,研究表明OFDM技术进一步提高了认知无线电系统的频谱利用率。     

基于博弈论的认知无线电频谱分配技术探讨

在无线通信技术发展过程中,越来越频繁的使用频谱资源,几乎无剩余的无线电频谱空间,造成频谱资源缺乏的原因中,不合理分配频谱为主要原因,为解决这一问题,研究出了认知无线电技术,此种技术可对频谱使用情况主动监测,自身通信参数自适应式的改变,可有效的提高频率的利用效率.但由于应用频率时具有较强的灵活性,要求认知无线电技术可准确检测出频谱资源,并进行动态分配,基于此,本文在博弈论的基础上,探讨了认知无线电频谱分配技术.     

认知无线电:原理、技术与发展趋势

认知无线电是指具有自主寻找和使用空闲频谱资源能力的智能无线电技术。认知无线电技术的提出,为解决不断增长的无线通信应用需求与日益紧张的无线频谱资源之间的矛盾提供了一种有效的解决途径。当前,认知无线电技术从理论到实践都面临很多困难。文章简述了认知无线电的基本原理,对认知无线电涉及的射频、频谱感知和数据传输等物理层核心关键技术进行了总结分析,并结合当前的发展状况对该技术未来的发展趋势进行了预测。     

基于认知无线电技术及其运用研究

随着科技的发展,人们生活水平的提高,无线用户逐渐增多,这使得原本宽松的频谱资源越来越紧张。而认知无线电技术给出一种全新的频率资源综合利用思路,大大提高频谱资源的利用率。首先介绍认知无线电技术的基本概念,接着分析认知无线电技术的关键技术和目前的运用情况。     

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。     

认知无线电技术及其典型应用

随着无线通信技术的发展,无线用户数量急剧增加,使频谱资源变得越来越紧张．如何充分提高无线频谱的利用率成为亟待解决的技术问题。认知无线电技术提出了一种新的频率资源综合利用思路。其核心思想就是使无线通信设备具有发现“频谱空洞”并合理利用的能力。文章简要介绍认知无线电技术的概念,详细分析其关键技术、组网方式及典型的应用领域。     

认知无线电技术

随着无线通信技术的发展。无线用户的数量急剧增加，使得频谱资源变得越来越紧张，如何充分提高无线频谱的利用率成为亟待解决的技术问题。认知无线电技术提出了一种新的解决思路。其核心思想就是使无线通信设备具有发现“频谱空洞”并合理利用所发现的“空洞”的能力。虽然认知无线电技术能以更为灵活的方式来管理有限的频谱资源，但要真正将其应用于实际通信系统还需解决包括频谱检测、自适应频谱资源分配和无线频谱管理等关键技术问题。     

认知无线电技术及频谱管理

随着各种无线通信新技术和新业务的广泛应用,频谱资源日益紧张,如何充分提高频谱资源的利用率便成为亟待解决的问题。应运而生的认知无线电技术,是一种能够主动检测可用频谱资源并能充分利用频谱的新一代无线电技术,这种技术使得无线通信设备具有发现＂频谱空洞＂并合理利用所发现的＂空洞＂的能力。认知无线电技术的出现,对解决频谱资源不足、实现频谱动态管理和提高频谱利用率都具有十分重要的意义。     

认知无线电技术研究

人们对于无线通信数据传输速率的要求越来越高,这必然会导致各种通信系统更加依赖于频谱资源,让本就供不应求的频谱资源变得日益紧张起来,从而对通信技术产生不利影响。不过,频谱资源在使用过程当中,却存在着严重的浪费现象,很多需要频谱资源的无线系统却不能得到频谱资源,让大量频谱资源出现了闲置的现象。对此,如何解决这一问题,关系到了通信系统的发展。文章主要分析了认知无线电技术对于频谱资源的有效利用,从而解决了频谱资源供求紧张问题,以及频谱资源大量浪费的问题,使频谱资源得到了优化配置和有效利用。     

认知无线电技术及其政策影响和市场前景预测

认知无线电是在软件无线电的基础上发展而来的能够自适应外界环境变化的无线通信技术。认知无线电的网络结构有3种类型:集中式,分布式和集中 分布式。它通过频谱自适应技术来实现动态频谱分配,相关技术包括频谱检测技术,信道估计与预测技术、数据传输技术和多天线通信技术。随着认知无线电技术的发展,各国际标准组织和行业联盟纷纷开展相关的研究,并着手制定认知无线电的标准和协议。目前,认知无线电的推广仍面临着政策问题,但其市场需求日益扩大。总而言之,此技术的产业化发展还有很长的路需要走。     

无线通信领域的“下一个大事件”——认知无线电

认知无线电是在软件无线电基础上发展而来的能够自适应外界环境变化的智能无线通信系统,其核心思想是使无线通信设备具有发现"频谱空穴"并合理利用所发现的"频谱空穴"的能力。认知无线电的提出为从根本上解决日益增长的无线通信需求与有限的无线频谱资源之间的矛盾开辟了一条行之有效的新途径。从认知无线电技术的研究背景入手,综合阐述了认知无线电的定义及其特点、实现认知无线电的关键技术以及超宽带与认知无线电相结合的认知超宽带通信技术。     

Performance Analysis of Different Channel Allocation Schemes of Random Access (RA) MAC Protocol with Back-Off Algorithm (BOA)

Wireless Personal Communications - Cognitive radio technology is an effective method to improve the utilization and efficiency of radio spectrum. Cognitive radio technology solves spectrum scarcity...     

Experimental Validation of Spectrum Sensing on Various Transceivers Using Software Defined Radio

Wireless Personal Communications - Cognitive radio (CR) and software-defined radio (SDR) system technologies provide added flexibility and offer improved spectrum efficiency. Cognitive radio is an...     

Cooperative Communications for Cognitive Radio Networks

Cognitive radio is an exciting emerging technology that has the potential of dealing with the stringent requirement and scarcity of the radio spectrum. Such revolutionary and transforming technology represents a paradigm shift in the design of wireless systems, as it will allow the agile and efficient utilization of the radio spectrum by offering distributed terminals or radio cells the ability of radio sensing, self-adaptation, and dynamic spectrum sharing. Cooperative communications and networking is another new communication technology paradigm that allows distributed terminals in a wireless network to collaborate through some distributed transmission or signal processing so as to realize a new form of space diversity to combat the detrimental effects of fading channels. In this paper, we consider the application of these technologies to spectrum sensing and spectrum sharing. One of the most important challenges for cognitive radio systems is to identify the presence of primary (licensed) users over a wide range of spectrum at a particular time and specific geographic location. We consider the use of cooperative spectrum sensing in cognitive radio systems to enhance the reliability of detecting primary users. We shall describe spectrum sensing for cognitive radios and propose robust cooperative spectrum sensing techniques for a practical framework employing cognitive radios. We also investigate cooperative communications for spectrum sharing in a cognitive wireless relay network. To exploit the maximum spectrum opportunities, we present a cognitive space–time–frequency coding technique that can opportunistically adjust its coding structure by adapting itself to the dynamic spectrum environment.      

Comparison of Mamdani and Sugeno Inference Systems for Dynamic Spectrum Allocation in Cognitive Radio Networks

Dynamic spectrum access and cognitive radio are emerging technologies to utilize the scarce frequency spectrum in an efficient and opportunistic manner. Cognitive radio, built on software defined radio, is an intelligent radio technology that updates its operating parameters to locate the unused spectrum segments. To assign these vacant bands to unlicensed users without causing harmful interference to licensed users, a novel approach is proposed in this article based on fuzzy logic. Two different fuzzy inference system models i.e. Mamdani and Sugeno systems are developed that compute spectrum access decision based on the secondary user parameters such as signal strength, distance between the primary and secondary user, spectrum utilization efficiency and degree of mobility. 81 fuzzy rules are used to obtain the output of proposed system stating the possibilities of allotment of white spaces to secondary users.     

Capacity Analysis in Multi-Radio Multi-Channel Cognitive Radio Networks: A Small World Perspective

Cognitive radio (CR) has emerged as a promising technology to improve spectrum utilization. Capacity analysis is very useful in investigating the ultimate performance limits for wireless networks. Meanwhile, with increasing potential future applications for the CR systems, it is necessary to explore the limitations on their capacity in dynamic spectrum access environment. However, due to spectrum sharing in cognitive radio networks (CRNs), the capacity of the secondary network (SRN) is much more difficult to analyze than that of traditional wireless networks. To overcome this difficulty, in this paper we introduce a novel solution based on small world model to analyze the capacity of SRN. First, we propose a new method of shortcut creation for CRNs, which is based on connectivity ratio. Also, a new channel assignment algorithm is proposed, which jointly considers the available time and transmission time of the channels. And then, we derive the capacity of SRN based on small world model over multi-radio multi-channel (MRMC) environment. The simulation results show that our proposed scheme can obtain a higher capacity and smaller latency compared with traditional schemes in MRMC CRNs.     

认知无线电中的频谱接入技术

认知无线电是一种基于软件无线电的智能通信系统,它能够认知周围环境,并能通过一定的方法相应地改变某些工作参数来实时地适应环境,从而达到提高频谱利用率、缓解频谱资源紧张的目的.授权频段的频谱利用问题是认知无线电实现的关键技术之一.研究了授权频段的两种频谱利用方法:动态频谱接入和基于动态频谱接入模型之一的机会频谱接入.