Wireless channel models

Xem 1-14 trên 14 kết quả Wireless channel models
  • Past decade has seen a surge of research activities in the field of wireless communication. Emerging from this research thrust are new points of view on how to communicate effectively over wireless channels. The goal of this course is to study in a unified way the fundamentals as well as the new research developments. The concepts are illustrated using examples from several modern wireless systems (GSM, IS-95, CDMA 2000 1x EV-DO, Flarion's Flash OFDM, ArrayComm systems.)

    ppt76p nhq_khtn 12-03-2011 50 13   Download

  • Wireless communications is one of the most active areas of research over the past and the current decades. In fact, the demand for wireless services has been changing from the regular voice telephony services to mixed voice, data, and multimedia services over the wireless media. Since the mid-1990s, the wireless industry has been advancing at an incredible speed. For example, the 2G cellular systems (such as GSM, D-AMPS, and IS-95) have significantly improved the spectral efficiency and network capacity to support wireless telephony services....

    pdf544p gian_anh 18-10-2012 19 5   Download

  • So far we have only considered single-input multi-output (SIMO) and multi-input single-output (MISO) channels. They provide diversity and power gains but no degree-offreedom (d.o.f.) gain. D.o.f gain is most useful in the high SNR regime. MIMO channels have a potential to provide d.o.f gain. We would like to understand how the d.o.f gain depends on the physical environment and come up with statistical models that capture the properties succinctly.

    ppt34p nhq_khtn 12-03-2011 42 6   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Modified Spatial Channel Model for MIMO Wireless Systems

    pdf7p sting10 24-02-2012 20 3   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Space-Time Channel Modeling for Wireless Communications

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  • Electronic and wireless technologies have changed the way we do businessforever. We have seen fast paced change in the last decade not only in information technology advancement but also in business model design and strategic direction. Technology has become central to company operations as well as strategy.

    pdf286p vutrung 07-09-2009 341 109   Download

  • In the nineteenth century, scientists, mathematician, engineers and innovators started investigating electromagnetism. The theory that underpins wireless communications was formed by Maxwell. Early demonstrations took place by Hertz, Tesla and others. Marconi demonstrated the first wireless transmission. Since then, the range of applications has expanded at an immense rate, together with the underpinning technology. The rate of development has been incredible and today the level of technical and commercial maturity is very high.

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  • As the growing demand formobile communications is constantly increasing, the need for better coverage, improved capacity and higher transmission quality rises. Thus, a more efficient use of the radio spectrum is required. Smart antenna systems are capable of efficiently utilizing the radio spectrum and, thus, is a promise for an effective solution to the present wireless systems’ problems while achieving reliable and robust high-speed high-data-rate transmission. The purpose of this book is to provide the reader a broad viewof the systemaspects of smart antennas.

    pdf180p kuckucucu 15-05-2012 47 9   Download

  • This book follows from my first edition and is intended to provide a thorough, up to date, treatment of wireless physical communications. The book is derived from a compilation of course material that I have taught in a graduatelevel course on physical wireless communications at Georgia Tech over the past decade. This textbook differs from others on the subject by stressing mathematical modeling and analysis. My approach is to include detailed derivations from first principles.

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  • This project explores the development of a multiple input multiple output (MIMO) simulator using ray tracing techniques. This project gives an overview of ray tracing techniques, beamforming, MIMO channel models and MIMO systems. It explains the ability of MIMO systems to offer significant capacity increases over traditional wireless systems, by exploiting the phenomenon of multipath. By modelling high frequency radio waves as travelling along localized linear trajectory paths, they can be approximated as rays, just as in optics....

    pdf73p vankent 19-07-2010 39 7   Download

  • The most thorough, up-to-date reference on channel equalization—from basic concepts to complex modeling techniques In today's instant-access society, a high premium is placed on information that can be stored and communicated effectively. As a result, storage densities and communications rates are being pushed to capacity, causing information symbols to interfere with one another.

    pdf244p namde01 11-04-2013 12 4   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Survey of Channel and Radio Propagation Models for Wireless MIMO System

    pdf19p sting11 09-03-2012 12 2   Download

  • Communication PART E over Fading Channels Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing Heinrich Meyr, Marc Moeneclaey, Stefan A. Fechtel Copyright  1998 John Wiley & Sons, Inc. Print ISBN 0-471-50275-8 Online ISBN 0-471-20057-3 Chapter 11 Characterization, Modeling, and Simulation of Linear Fading Channels 11 .

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  • Resource management and access control 10.1 POWER CONTROL AND RESOURCE MANAGEMENT FOR A MULTIMEDIA CDMA WIRELESS SYSTEM 10.1.1 System model and analysis In this section we assume N different classes of users in the system characterized by the following set of parameters [1] Transmitted power vector Vector of rates Vector of required Eb /N0 s Power limits Rate limits Channel gains vector h P = [P1 , P2 , . . . , PN ] R = [R1 , R2 , . . . , RN ] = [γ1 , γ2 , . . . , γN ] p = [p1 ,...

    pdf74p khinhkha 30-07-2010 47 8   Download

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