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MIMO-OFDM

About: MIMO-OFDM is a research topic. Over the lifetime, 9037 publications have been published within this topic receiving 157233 citations. The topic is also known as: Multiple input, multiple output-orthogonal frequency division multiplexing.


Papers
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Book
17 Nov 2016
TL;DR: This is the first complete guide to the physical and engineering principles of Massive MIMO and will guide readers through key topics in multi-cell systems such as propagation modeling, multiplexing and de-multiplexing, channel estimation, power control, and performance evaluation.
Abstract: "Written by the pioneers of the concept, this is the first complete guide to the physical and engineering principles of Massive MIMO. Assuming only a basic background in communications and statisti ...

1,115 citations

Journal ArticleDOI
TL;DR: Classic results on selection diversity, followed by a discussion of antenna selection algorithms at the transmit and receive sides, and extensions of classical results to antenna subset selection are presented.
Abstract: Multiple-antenna systems, also known as multiple-input multiple-output radio, can improve the capacity and reliability of radio communication. However, the multiple RF chains associated with multiple antennas are costly in terms of size, power, and hardware. Antenna selection is a low-cost low-complexity alternative to capture many of the advantages of MIMO systems. This article reviews classic results on selection diversity, followed by a discussion of antenna selection algorithms at the transmit and receive sides. Extensions of classical results to antenna subset selection are presented. Finally, several open problems in this area are pointed out.

1,005 citations

Journal ArticleDOI
TL;DR: In this article, an overview of MIMO systems with antenna selection is presented, where the antenna diversity is used to increase the capacity of the system and the use of the multiple antennas for the transmission of parallel data streams is discussed.
Abstract: Multiple-input-multiple-output (MIMO) wireless systems are those that have multiple antenna elements at both the transmitter and receiver. They were first investigated by computer simulations in the 1980s. Since that time, interest in MIMO systems has exploded. They are now being used for third-generation cellular systems (W-CDMA) and are discussed for future high-performance modes of the highly successful IEEE 802.11 standard for wireless local area networks. MIMO-related topics also occupy a considerable part of today's academic communications research. The multiple antennas in MIMO systems can be exploited in two different ways. One is the creation of a highly effective antenna diversity system; the other is the use of the multiple antennas for the transmission of several parallel data streams to increase the capacity of the system. This article presented an overview of MIMO systems with antenna selection. The transmitter, the receiver, or both use only the signals from a subset of the available antennas. This allows considerable reductions in the hardware expense.

931 citations

Journal ArticleDOI
TL;DR: This article reviews several algorithms that have been proposed with the potential to combine the high capacity achievable with MIMO processing with the benefits of space-division multiple access and describes two classes of solutions.
Abstract: Multiple-input multiple-output (MIMO) communication techniques have been an important area of focus for next-generation wireless systems because of their potential for high capacity, increased diversity, and interference suppression. For applications such as wireless LANs and cellular telephony, MIMO systems will likely be deployed in environments where a single base must communicate with many users simultaneously. As a result, the study of multi-user MIMO systems has emerged recently as an important research topic. Such systems have the potential to combine the high capacity achievable with MIMO processing with the benefits of space-division multiple access. In this article we review several algorithms that have been proposed with this goal in mind. We describe two classes of solutions. The first uses a signal processing approach with various types of transmitter beamforming. The second uses "dirty paper" coding to overcome the interference a user sees from signals intended for other users. We conclude by describing future areas of research in multi-user MIMO communications.

914 citations

Journal ArticleDOI
TL;DR: This letter investigates the MIMO channel capacity in correlated channels using the exponential correlation matrix model and proves that, for this model, an increase in correlation is equivalent to a decrease in signal-to-noise ratio (SNR).
Abstract: Multiple-input multiple output (MIMO) communication architecture has recently emerged as a new paradigm for wireless communications in rich multipath environment, which has spectral efficiencies far beyond those offered by conventional techniques. The channel capacity of the MIMO architecture in independent Rayleigh channels scales linearly as the number of antennas. However, the correlation of a real-world wireless channel may result in a substantial degradation of the MIMO architecture performance. In this letter, we investigate the MIMO channel capacity in correlated channels using the exponential correlation matrix model. We prove that, for this model, an increase in correlation is equivalent to a decrease in signal-to-noise ratio (SNR). For example, r=0.7 is the same as 3-dB decrease in SNR.

842 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202358
2022176
2021163
2020199
2019197
2018231