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Books on the topic 'Third generation cell networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Nanda, Sanjiv. Third Generation Wireless Information Networks. Springer US, 1992.

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2

Nanda, Sanjiv, and David J. Goodman, eds. Third Generation Wireless Information Networks. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4012-0.

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3

Swarts, Francis. CDMA Techniques for Third Generation Mobile Systems. Springer US, 1999.

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4

Rümmler, Robert. Multicast in third-generation mobile networks: Services, mechanisms, and performance. Wiley, 2009.

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5

Penttinen, Jyrki T. J. The LTE-advanced deployment handbook: The planning guidelines for the fourth generation networks. John Wiley & Sons Inc., 2016.

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6

Blogh, J. S. Third-generation systems and intelligent wireless networking: Smart antennas and adaptive modulation. John Wiley & Sons, Ltd., 2002.

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7

Yalin, Lu, and Materials Research Society Meeting, eds. Third-generation and emerging solar-cell technologies: Symposium held April 25-29, 2011, San Francisco, California, U.S.A. Materials Research Society, 2011.

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8

Wendling, Fabrice, and Fernando H. Lopes da Silva. Dynamics of EEGs as Signals of Neuronal Populations. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0003.

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This chapter gives an overview of approaches used to understand the generation of electroencephalographic (EEG) signals using computational models. The basic concept is that appropriate modeling of neuronal networks, based on relevant anatomical and physiological data, allows researchers to test hypotheses about the nature of EEG signals. Here these models are considered at different levels of complexity. The first level is based on single cell biophysical properties anchored in classic Hodgkin-Huxley theory. The second level emphasizes on detailed neuronal networks and their role in generatin

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9

1961-, Nanda Sanjiv, and Goodman David J. 1939-, eds. Third generation wireless information networks. Kluwer Academic Publishers, 1992.

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10

Black, Uyless. Optical Networks: Third Generation Transport Systems. Prentice Hall PTR, 2002.

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11

Optical Networks: Third Generation Transport Systems. Prentice Hall PTR, 2002.

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12

GPRS: Gateway to Third Generation Mobile Networks. Artech House Publishers, 2003.

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13

N.M. Rothschild & Sons. and Great Britain. Dept. of Trade and Industry. Radiocommunications Agency., eds. United Kingdom spectrum auction: Third generation, the next generation of mobile communications. N.M. Rothschild & Sons, 1999.

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14

1970-, Adibi Sasan, Mobasher Amin 1978-, and Tofigh Tom 1955-, eds. Fourth-generation wireless networks: Applications and innovations. Information Science Reference, 2010.

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15

CDMA Techniques for Third Generation Mobile Systems. Springer, 2011.

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16

1970-, Adibi Sasan, Mobasher Amin 1978-, and Tofigh Tom 1955-, eds. Fourth-generation wireless networks: Applications and innovations. Information Science Reference, 2010.

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17

The Future of Mobile Communications: Awaiting the Third Generation. Palgrave Macmillan, 2002.

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18

Wei, Li, and Pan Yi 1960-, eds. Resource allocation in next generation wireless networks. Nova Science Publishers, 2005.

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19

Penttinen, Jyrki T. J. LTE-Advanced Deployment Handbook: The Planning Guidelines for the Fourth Generation Networks. Wiley & Sons, Incorporated, John, 2015.

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20

Penttinen, Jyrki T. J. LTE-Advanced Deployment Handbook: The Planning Guidelines for the Fourth Generation Networks. Wiley & Sons, Incorporated, John, 2015.

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21

Mobile radio communications: Second and third generation cellular and WATM systems. 2nd ed. Wiley, 1999.

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22

Cognitive Radio And Its Application For Next Generation Cellular And Wireless Networks. Springer, 2012.

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23

(Editor), David J. Goodman, and Sanjiv Nanda (Editor), eds. Third Generation Wireless Information Networks (The International Series in Engineering and Computer Science). Springer, 1991.

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24

Raymond, Steele, and Hanzo Lajos 1952-, eds. Mobile radio communications: Second and third-generation cellular and WATM systems. 2nd ed. J. Wiley, 2000.

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25

Blogh, J. S., and Lajos Hanzo. Third-Generation Systems and Intelligent Wireless Networking: Smart Antennas and Adaptive Modulation. Wiley & Sons, Incorporated, John, 2003.

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26

Hanzo, Lajos, and J. S. Blogh. Third Generation Systems and Intelligent Wireless Networking: Smart Antennas and Adaptive Modulation. Wiley-IEEE Press, 2002.

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27

Future Generation Information Technology Third International Conference Fgit 2011 Jeju Island December 810 2011 Proceedings. Springer, 2012.

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28

Kim, Tai-hoon, Dominik Slezak, and Hojjat Adeli. Future Generation Information Technology: Third International Conference, FGIT 2011, Jeju Island, December 8-10, 2011. Proceedings. Springer, 2012.

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29

(Contributor), Rock the Vote, ed. Mobilizing Generation 2.0: A Practical Guide to Using Web2.0 Technologies to Recruit, Organize and Engage Youth . Jossey-Bass, 2008.

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30

Hong, Yu. Making a Home-Base Strategy. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040917.003.0005.

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This chapter traces the evolution of mobile communications as a site of China’s “home-base” industrial strategy and, after the 2008 global economic crisis, as part of intensified geopolitical struggle in the techno-economic realm. This chapter, first, historicizes telecom development through successive network generations, starting from fixed-line networks to second-generation and then third-generation mobile networks. As the business ecosystem includes network-equipment production, handset production, and content development and distribution, this chapter, then, explores market-specific traje

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31

Coolen, A. C. C., A. Annibale, and E. S. Roberts. Applications of random graphs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0011.

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This chapter reviews graph generation techniques in the context of applications. The first case study is power grids, where proposed strategies to prevent blackouts have been tested on tailored random graphs. The second case study is in social networks. Applications of random graphs to social networks are extremely wide ranging – the particular aspect looked at here is modelling the spread of disease on a social network – and how a particular construction based on projecting from a bipartite graph successfully captures some of the clustering observed in real social networks. The third case stu

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32

Dudoignon, Stéphane A. Conclusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190655914.003.0007.

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The conclusion underlines, first, how Deobandi Sunni ulama in Easternmost Iran have promoted a staunch nationalisation of Hanafi Sunni Islam. Their adjustment to Iranian realities, the advantage they took from the eclipse of tribal might in the country, combined with the pragmatism of the Islamic Republic, permitted them to negotiate civil contracts reformulated since 1993, at every general election. At the same time, the conclusion also suggests that since the turn of the century, the Sarbaz nexus has had to confront several challenges: First came a new counter-elite of Baluch tribal backgrou

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