Notwithstanding its infancy, wireless mesh networking (WMN) is a hot and growing field. Wireless mesh NetWorks began in the military, but have since become of great interest for commercial use in the last decade, both in local area NetWorks and metropolitan area NetWorks. The attractiveness of mesh NetWorks comes from their ability to interconnect either mobile or fixed devices with radio interfaces, to share information dynamically, or simply to extend range through multi-hopping.
標(biāo)簽： Multi-hop NetWorks WiMAX WiFi Mesh LTE and
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
Wireless networking is undergoing a transformation from what has been primarily a medium for supporting voice traffic between telephones, into what is increasingly becoming a medium for supporting traffic among a variety of digital devices transmitting media of many types (voice, data, images, video. etc.) Wireline networking underwent a similar transformation in the 1990s, which led to an enormous build-up in the capacity of such NetWorks, primarily through the addition of new optical fiber, switches and other infrastructure.
標(biāo)簽： Multiusers Detection Wireless NetWorks
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
Resource allocation is an important issue in wireless communication NetWorks. In recent decades, cognitive radio technology and cognitive radio-based NetWorks have obtained more and more attention and have been well studied to improve spectrum utilization and to overcomethe problem of spectrum scarcity in future wireless com- munication systems. Many new challenges on resource allocation appear in cogni- tive radio-based NetWorks. In this book, we focus on effective solutions to resource allocation in several important cognitive radio-based NetWorks, including a cogni- tive radio-basedopportunisticspectrum access network, a cognitiveradio-basedcen- tralized network, a cognitive radio-based cellular network, a cognitive radio-based high-speed vehicle network, and a cognitive radio-based smart grid.
標(biāo)簽： Cognitive NetWorks Radio
上傳時(shí)間： 2020-06-07
上傳用戶：shancjb
This book is the result of works dedicated to specific applications of metaheuristics in smart electrical grids. From electric transmission, distribution NetWorks to electric microgrids, the notion of intelligence refers to the ability to propose acceptable solutions in an increasingly more restrictive environment. Most often, it refers to decision-making assisting tools designed to support all human action.
標(biāo)簽： Metaheuristics Intelligent Electrical NetWorks for
上傳時(shí)間： 2020-06-07
上傳用戶：shancjb
Recent work has shown that convolutional NetWorks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convo- lutional Network (DenseNet), which connects each layer to every other layer in a feed-forward fashion.
標(biāo)簽： Convolutional Connected NetWorks Densely
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
近幾年來，OFDM(Orthogonal Frequency Division Multiplexing)技術(shù)引起了人們的廣泛注意，根據(jù)這項(xiàng)新技術(shù)，很多相關(guān)協(xié)議被提出來。其中WiMax(Wireless MetropolitanArea NetWorks)代表空中接口滿足IEEE 802.16標(biāo)準(zhǔn)的寬帶無線通信系統(tǒng)，IEEE標(biāo)準(zhǔn)在2004年定義了空中接口的物理層(PHY)，即802.16d協(xié)議。該協(xié)議規(guī)定數(shù)據(jù)傳輸采用突發(fā)模式，調(diào)制方式采用OFDM技術(shù)，傳輸速率較高且實(shí)現(xiàn)方便、成本低廉，已經(jīng)成為首先推廣應(yīng)用的商業(yè)化標(biāo)準(zhǔn)。 本文主要對IEEE802.16d OFDM系統(tǒng)物理層進(jìn)行研究，并在XILINX公司的Virtexpro II芯片上實(shí)現(xiàn)了基帶算法。 首先討論了OFDM基本原理及其關(guān)鍵技術(shù)。根據(jù)IEEE802.16d OFDM系統(tǒng)的物理層發(fā)送端流程搭建了基帶仿真鏈路，利用MATLAB/SIMULINK仿真了OFDM系統(tǒng)在有無循環(huán)前綴(CP)、多徑數(shù)目不同等情況下的性能變化。由于同步算法和信道估計(jì)算法計(jì)算量都很大，為了找到適合采用FPGA實(shí)現(xiàn)的算法，分析了同步誤差和不同信道估計(jì)算法對接收信號的影響，并結(jié)合計(jì)算量的大小提出了一種新的聯(lián)合同步算法，以及得出了LS信道估計(jì)算法最適合802.16d系統(tǒng)的結(jié)論。 其次，完成了基帶發(fā)射機(jī)和接收機(jī)的FPGA硬件電路實(shí)現(xiàn)。為了使系統(tǒng)的時(shí)鐘頻率更高，采用了流水線的結(jié)構(gòu)。設(shè)計(jì)中采用編寫Verilog程序和使用IP核相結(jié)合的辦法，實(shí)現(xiàn)了新的聯(lián)合同步算法，并且通過簡化結(jié)構(gòu)，避免了信道估計(jì)算法中的繁瑣除法。利用ISE9. 2i和Modelsim6.Oc軟件平臺(tái)對程序進(jìn)行設(shè)計(jì)、綜合和仿真，并將仿真結(jié)果和MATLAB軟件計(jì)算結(jié)果相對比。結(jié)果表明，采用16位數(shù)據(jù)總線可達(dá)到理想的精度。 最后，采用串口通信的方式對基帶系統(tǒng)進(jìn)行了驗(yàn)證。通過串口通信從功能上表明該系統(tǒng)確實(shí)可行。 關(guān)鍵詞：IEEE802. 16d； OFDM； 同步；信道估計(jì)；基帶系統(tǒng)
上傳時(shí)間： 2013-07-31
上傳用戶：1757122702
無線傳感器網(wǎng)絡(luò)（Wireless Sensor NetWorks，WSN）是由大量傳感器節(jié)點(diǎn)組成，這些節(jié)點(diǎn)部署在監(jiān)測區(qū)域內(nèi)通過無線通信方式，形成的一個(gè)多跳自組織的網(wǎng)絡(luò)。整個(gè)網(wǎng)絡(luò)的作用是協(xié)作地感知、采集和處理網(wǎng)絡(luò)覆蓋區(qū)域中監(jiān)測對象的信息，并發(fā)送給觀察者，可廣泛應(yīng)用于環(huán)境監(jiān)測、醫(yī)療護(hù)理、軍事、商業(yè)等多個(gè)領(lǐng)域。 媒體訪問控制（Medium Access Control，MAC）協(xié)議處于無線傳感器網(wǎng)絡(luò)協(xié)議的物理層和路由層之間，用于在傳感器節(jié)點(diǎn)間公平有效地共享通信媒介，對傳感器網(wǎng)絡(luò)的性能有較大影響。與傳統(tǒng)無線網(wǎng)絡(luò)不同，提高能量效率和可擴(kuò)展性是無線傳感器網(wǎng)絡(luò)MAC協(xié)議設(shè)計(jì)的主要目標(biāo)。 本文主要闡述基于FPGA對IEEE802．15．4 MAC層功能的實(shí)現(xiàn)。首先介紹了無線傳感器網(wǎng)絡(luò)的體系結(jié)構(gòu)、MAC協(xié)議的設(shè)計(jì)要求以及已有的MAC層協(xié)議，討論了無線傳感器網(wǎng)絡(luò)MAC層的主要要求和功能。然后詳細(xì)介紹和分析了IEEE802．15．4的MAC協(xié)議，并在此基礎(chǔ)上，通過NS2平臺(tái)對MAC層協(xié)議進(jìn)行了仿真，研究不同網(wǎng)絡(luò)負(fù)荷下信道訪問機(jī)制的各個(gè)參數(shù)對吞吐量，丟包率，傳輸延時(shí)的影響，分析了隱蔽站問題、確認(rèn)幀機(jī)制。 本文對MAC層中的主要功能，諸如數(shù)據(jù)收發(fā)、幀處理、信道接入方式以及幀檢驗(yàn)等提出了基于FPGA的硬件解決方法。設(shè)計(jì)選用硬件描述語言VerilogHDL，在QuartusⅡ中完成模塊的綜合和布局布線，在QuartusⅡ和Modelsim中進(jìn)行時(shí)序仿真驗(yàn)證，最終下載到自主設(shè)計(jì)Altera公司的Cyclone開發(fā)板中。 對設(shè)計(jì)的驗(yàn)證采取的是由里及外的方式，先對系統(tǒng)主模塊的功能進(jìn)行驗(yàn)證，然后下載到與CC2430開發(fā)板相連接的FPGA中對設(shè)計(jì)進(jìn)行驗(yàn)證測試。驗(yàn)證流程是功能仿真、時(shí)序仿真和板級調(diào)試，最終通過測試，驗(yàn)證了該設(shè)計(jì)的功能。測試結(jié)果表明，該模塊能滿足無線傳感器網(wǎng)絡(luò)低速率應(yīng)用環(huán)境的需要，具有優(yōu)良的擴(kuò)展性能，達(dá)到了預(yù)期的設(shè)計(jì)目標(biāo)。
標(biāo)簽： FPGA MAC 無線傳感器網(wǎng)絡(luò)
上傳時(shí)間： 2013-06-14
上傳用戶：竺羽翎2222
Abstract: It may sound trite, but it is definitely true: the smart grid has the potential to completely transform the energyindustry. However, smart meters and grid management alone will not ensure the success of the smart grid. Unliketraditional IT NetWorks, smart grids require consideration of energy measurement and security. To completely optimize thistechnology, smart grid designs must focus on energy measurement and security. This tutorial considers the benefits ofboth energy measurement and security and how they make machine-to-machine NetWorks different from traditional IT.
標(biāo)簽： 電能計(jì)量 安全性 智能電網(wǎng)
上傳時(shí)間： 2013-10-29
上傳用戶：皇族傳媒
本指南包含有關(guān)移除和安裝Secure Access 6000機(jī)柜中的現(xiàn)場置換單元的信息。 有關(guān)Secure Access 6000的安全信息，請參閱Juniper NetWorks支持站點(diǎn)上的Juniper NetWorks Security Products Safety Guide。以下各部分將介紹有關(guān)組件的移除和安裝的詳細(xì)過程。
上傳時(shí)間： 2014-01-25
上傳用戶：shenlan
Single-Ended and Differential S-Parameters Differential circuits have been important incommunication systems for many years. In the past,differential communication circuits operated at lowfrequencies, where they could be designed andanalyzed using lumped-element models andtechniques. With the frequency of operationincreasing beyond 1GHz, and above 1Gbps fordigital communications, this lumped-elementapproach is no longer valid, because the physicalsize of the circuit approaches the size of awavelength.Distributed models and analysis techniques are nowused instead of lumped-element techniques.Scattering parameters, or S-parameters, have beendeveloped for this purpose [1]. These S-parametersare defined for single-ended NetWorks. S-parameterscan be used to describe differential NetWorks, but astrict definition was not developed until Bockelmanand others addressed this issue [2]. Bockelman’swork also included a study on how to adapt single-ended S-parameters for use with differential circuits[2]. This adaptation, called “mixed-mode S-parameters,” addresses differential and common-mode operation, as well as the conversion betweenthe two modes of operation.This application note will explain the use of single-ended and mixed-mode S-parameters, and the basicconcepts of microwave measurement calibration.
上傳時(shí)間： 2014-03-25
上傳用戶：yyyyyyyyyy
蟲蟲下載站版權(quán)所有 京ICP備2021023401號-1
