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Multiple-Input-m

  • Large-scale+Antenna+Systems

    To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation (4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing of multiple antennas. In the last twenty years, multiple-input multiple-output (MIMO) antenna techniques have been considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale antenna array (which is also called massive MIMO) is equipped in a base-station, or a large number of distributed antennas (which is also called large-scale distributed MIMO) are deployed, the spectral and energy efficiencies can be further improved by using spatial domain multiple access. This paper provides an overview of massive MIMO and large-scale distributed MIMO systems, including spectral efficiency analysis, channel state information (CSI) acquisition, wireless transmission technology, and resource allocation.

    標(biāo)簽: Large-scale Antenna Systems

    上傳時(shí)間: 2020-05-27

    上傳用戶(hù):shancjb

  • Low Complexity MIMO Detection

    In order to improve the spectral efficiency in wireless communications, multiple antennas are employed at both transmitter and receiver sides, where the resulting system is referred to as the multiple-input multiple-output (MIMO) system. In MIMO systems, it is usually requiredto detect signals jointly as multiple signals are transmitted through multiple signal paths between the transmitter and the receiver. This joint detection becomes the MIMO detection.

    標(biāo)簽: Complexity Detection MIMO Low

    上傳時(shí)間: 2020-05-27

    上傳用戶(hù):shancjb

  • MIMO+System+Technology

    Use of multiple antennas at both ends of wireless links is the result of the natural progression of more than four decades of evolution of adaptive antenna technology. Recent advances have demonstrated that multiple- input-multiple-output (MIMO) wireless systems can achieve impressive increases in overall system performance. 

    標(biāo)簽: Technology System MIMO

    上傳時(shí)間: 2020-05-28

    上傳用戶(hù):shancjb

  • Multi-Functional MIMO Systems

    The family of recent wireless standards included the optional employment of Multiple-Input Multiple-Output(MIMO)techniques.This was motivatedby the observationaccordingto the classic Shannon–Hartley law that the achievable channel capacity increases logarithmically with the transmit power. In contrast, the MIMO capacity increases linearly with the number of transmit antennas, provided that the number of receive antennas is equal to the number of transmit antennas. With the further proviso that the total transmit power is increased in proportion to the number of transmit antennas, a linear capacity increase is achieved upon increasing the transmit power, which justifies the spectacular success of MIMO systems.

    標(biāo)簽: Multi-Functional Systems MIMO

    上傳時(shí)間: 2020-05-31

    上傳用戶(hù):shancjb

  • Multi-point Cooperative Communication Systems

    This book is about multipoint cooperative communication, a key technology to overcome the long-standing problem of limited transmission rate caused by inter- point interference. However, the multipoint cooperative communication is not an isolated technology. Instead, it covers a vast range of research areas such as the multiple-input multiple-outputsystem, the relay network, channel state information issues, inter-point radio resource management operations, coordinated or joint transmissions, etc. We suppose that any attempt trying to thoroughly analyze the multipoint cooperative communication technology might end up working on a cyclopedia for modern communication systems and easily get lost in discussing all kinds of cooperative communication schemes as well as the associated models and their variations. 

    標(biāo)簽: Communication Multi-point Cooperative Systems

    上傳時(shí)間: 2020-05-31

    上傳用戶(hù):shancjb

  • Practical+Guide+to+MIMO

    The purpose of this book is to introduce the concept of the Multiple Input Multiple Output (MIMO) radio channel, which is an intelligent communication method based upon using multiple antennas. The book opens by explaining MIMO in layman’s terms to help stu- dents and people in industry working in related areas become easily familiarised with the concept. Therefore the structure of the book will be carefully arranged to allow a user to progress steadily through the chapters and understand the fundamental and mathematical principles behind MIMO through the visual and explanatory way in which they will be written. It is the intention that several references will also be provided, leading to further reading in this highly researched technology.

    標(biāo)簽: Practical Guide MIMO to

    上傳時(shí)間: 2020-05-31

    上傳用戶(hù):shancjb

  • RF+Transceiver+Design

    The multiple-input multiple-output (MIMO) technique provides higher bit rates and better reliability in wireless systems. The efficient design of RF transceivers has a vital impact on the implementation of this technique. This first book is com- pletely devoted to RF transceiver design for MIMO communications. The book covers the most recent research in practical design and applications and can be an important resource for graduate students, wireless designers, and practical engineers.

    標(biāo)簽: Transceiver Design RF

    上傳時(shí)間: 2020-06-01

    上傳用戶(hù):shancjb

  • Space-Time+Processing

    Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Excit- ing theoretical advances, complemented by rapid transition of research results to industry products and services, have created a vibrant and growing area that is already established by all counts. This offers a good opportunity to reflect on key developments in the area during the past decade and also outline emerging trends.

    標(biāo)簽: Space-Time Processing

    上傳時(shí)間: 2020-06-01

    上傳用戶(hù):shancjb

  • 5G通信系統(tǒng)中massive-MIMO-FBMC技術(shù)的結(jié)合概述

    5G通信系統(tǒng)中massive-MIMO-FBMC技術(shù)的結(jié)合概述摘要為了應(yīng)對(duì)第五代移動(dòng)通信(5G)中更高數(shù)據(jù)率和更低時(shí)延的需求,大規(guī)模MIMO (massive multiple-input multiple-output)技術(shù)已經(jīng)被提出并被廣泛研究。大規(guī)模 MIMO技術(shù)能大幅度地提升多用戶(hù)網(wǎng)絡(luò)的容量。而在5G中的帶寬研究方面,特別 是針對(duì)碎片頻譜和頻譜靈活性問(wèn)題,現(xiàn)有的正交頻分多址(Orthogonal Frequency Division Multiplexing, OFDM)技術(shù)不可能應(yīng)對(duì)未來(lái)的挑戰(zhàn),新的波形方案需要 被設(shè)計(jì)出來(lái)?;诖耍現(xiàn)BMC(filter bank multicarrier)技術(shù)由于具有比OFDM低 得多的帶外頻譜泄露而被受到重視,并已被標(biāo)準(zhǔn)推進(jìn)組IMT-2020列為5G物理層 的主要備選方案之一。 本文首先回顧了5G中波形設(shè)計(jì)方案(主要是FBMC調(diào)制)和大規(guī)模多天線(xiàn)系 統(tǒng)(即massive MIMO)的現(xiàn)有工作和主要挑戰(zhàn)。然后,簡(jiǎn)要介紹了基于Massive MIMO的FBMC系統(tǒng)中的自均衡性質(zhì),該性質(zhì)可以用于減少系統(tǒng)所需的子載波數(shù) 目。同時(shí),F(xiàn)BMC中的盲信道跟蹤性質(zhì)可以用于消除massive MIMO系統(tǒng)中的導(dǎo)頻 污染問(wèn)題。盡管如此,如何將FBMC技術(shù)應(yīng)用于massive MIMO系統(tǒng)中的誤碼率、 計(jì)算復(fù)雜度、線(xiàn)性需求等方面仍然不明確,未來(lái)更多的研究工作需要在massive MIMO-FBMC方面展開(kāi)來(lái)。 關(guān)鍵詞:大規(guī)模MIMO;FBMC;自均衡;導(dǎo)頻污染;盲均衡

    標(biāo)簽: 5G 通信系統(tǒng)

    上傳時(shí)間: 2022-02-25

    上傳用戶(hù):

  • IDCT-M is a medium speed 1D IDCT core -- it can accept a continous stream of 12-bit input words at

    IDCT-M is a medium speed 1D IDCT core -- it can accept a continous stream of 12-bit input words at a rate of -- 1 bit/ck cycle, operating at 50MHz speed, it can process MP@ML MPEG video -- the core is 100% synthesizable

    標(biāo)簽: continous IDCT-M accept medium

    上傳時(shí)間: 2015-07-07

    上傳用戶(hù):1583060504

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