Multiple-Input Multiple-Output (MIMO) systems have recently been the subject of intensive consideration in modem wireless communications as they offer the potential of providing high capacity, thus unleashing a wide range of applications in the wireless domain. The main feature of MIMO systems is the use of space-time processing and Space-Time Codes (STCs). Among a variety of STCs, orthogonal Space-Time Block Codes (STBCs) have a much simpler decoding method, compared to other STCs
標簽： Orthogonal Space-Time Processing Complex
上傳時間： 2020-05-26
上傳用戶：shancjb
Multiuser MULTIPLE-Input-Multiple-Output (MU- MIMO) systems are known to be hindered by dimensionality loss due to channel state information (CSI) acquisition overhead. In this paper, we investigate user-scheduling in MU-MIMO systems on account of CSI acquisition overhead, where a base station dynamically acquires user channels to avoid choking the system with CSI overhead.
標簽： Acquisition Dynamic Channel
上傳時間： 2020-05-27
上傳用戶：shancjb
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.
標簽： Large-scale Antenna Systems
上傳時間： 2020-05-27
上傳用戶：shancjb
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.
標簽： Complexity Detection MIMO Low
上傳時間： 2020-05-27
上傳用戶：shancjb
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.
標簽： Technology System MIMO
上傳時間： 2020-05-28
上傳用戶：shancjb
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.
標簽： Multi-Functional Systems MIMO
上傳時間： 2020-05-31
上傳用戶：shancjb
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.
上傳時間： 2020-05-31
上傳用戶：shancjb
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.
標簽： Transceiver Design RF
上傳時間： 2020-06-01
上傳用戶：shancjb
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.
標簽： Space-Time Processing
上傳時間： 2020-06-01
上傳用戶：shancjb
5G通信系統中massive-MIMO-FBMC技術的結合概述摘要為了應對第五代移動通信（5G）中更高數據率和更低時延的需求，大規模MIMO （massive multiple-input multiple-output）技術已經被提出并被廣泛研究。大規模 MIMO技術能大幅度地提升多用戶網絡的容量。而在5G中的帶寬研究方面，特別 是針對碎片頻譜和頻譜靈活性問題，現有的正交頻分多址（Orthogonal Frequency Division Multiplexing, OFDM）技術不可能應對未來的挑戰，新的波形方案需要 被設計出來。基于此，FBMC（filter bank multicarrier）技術由于具有比OFDM低 得多的帶外頻譜泄露而被受到重視，并已被標準推進組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中波形設計方案（主要是FBMC調制）和大規模多天線系 統（即massive MIMO）的現有工作和主要挑戰。然后，簡要介紹了基于Massive MIMO的FBMC系統中的自均衡性質，該性質可以用于減少系統所需的子載波數 目。同時，FBMC中的盲信道跟蹤性質可以用于消除massive MIMO系統中的導頻 污染問題。盡管如此，如何將FBMC技術應用于massive MIMO系統中的誤碼率、 計算復雜度、線性需求等方面仍然不明確，未來更多的研究工作需要在massive MIMO-FBMC方面展開來。 關鍵詞：大規模MIMO；FBMC；自均衡；導頻污染；盲均衡
上傳時間： 2022-02-25
上傳用戶：
