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Beamforming Design for Active-RIS-Aided Cell-Free Massive MIMO Networks Under Imperfect CSI. [PDF]
Sensors (Basel)Ma Q, Fang H, Yang L.
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Multiple Input Multiple Output (MIMO) Antennas
2023The advancement of antennas that can access high data speeds, and have higher gain, is largely responsible for the advancements in wireless technology. One such antenna called the multiple input multiple output (MIMO). This antenna has attracted the utmost attention of the researchers owing to its features like higher capacity, increased data rate, low
Anindita Bhattacharjee +2 more
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Guest Editorial for the Special Issue on Multiple-Input Multiple-Output (MIMO)
IEEE Transactions on Antennas and Propagation, 2012The 27 papers in this special issue focus on multiple-input multiple-output. There are three main sections to this issue: 1) antenna design, modeling, and analysis, 2) channel sounding and modeling, and 3) system performance evaluation.
JON W. WALLACE +4 more
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Statistical characterization of multiple-input multiple-output (MIMO) channel capacity
2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609), 2003We derive precise as well as good approximate statistical characterizations, such as probability density functions and statistical moments of capacity, for different MIMO wireless channels. The characterizations help us to understand and predict the capacity gain expected from the MIMO technique, in terms of system parameters and channel dimension.
Hongya Ge +3 more
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An energy-efficient multiple-input multiple-output (MIMO) detector architecture
2011 IEEE Workshop on Signal Processing Systems (SiPS), 2011In this paper, a novel low complexity energy efficient recon-figurable reduced dimension maximum likelihood (RRDML) multiple-input multiple-output (MIMO) detector is proposed. RRDML is based on RDML [1], in which maximum likelihood (ML) is applied to detect a sub-dimension of the received vector and linear detection is used for the remaining dimension.
Eric P. Kim, Naresh R. Shanbhag
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Fundamental limits in sensitivity minimization: multiple-input-multiple-output (MIMO) plants
IEEE Transactions on Automatic Control, 2001The paper deals with the problem of the smallest achievable \(H_{\infty}\) norm of various weighted sensitivity functions subject to internal closed-loop stability. These values represent fundamental limits because they are the best achievable under a minimal requirement of stability.
Thomas S. Brinsmead, Graham C. Goodwin
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Multiple-input multiple-output (MIMO) radar: performance issues
Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005The application of multiple-input multiple-output (MIMO) techniques to multistage radar offers a number of advantages, including improved resolution and sensitivity. Depending upon the radar's mode of operation, the array design and the environment, these advantages may or may not be significant. In this paper, a simple analytic model for ground moving
K.W. Forsythe, D.W. Bliss, G.S. Fawcett
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Multiple-Input Multiple-Output (MIMO) Antenna Systems
2004Since the late 1990’s MIMO (Multiple-Input Multiple-Output) antenna systems are the subject of the enormous interest among engineers and researchers. The reason is that the theoretical capacity offered by these systems significantly exceeds the Shannon bound.
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Mutual Information of Multiple-Input Multiple-Output (MIMO) Transmission Schemes
International Journal of Wireless Information Networks, 2005We analyze the mutual information of some common multiple-input multiple-output (MIMO) transmission schemes. Whereas most capacity evaluations are done under the assumption of Gaussian transmit symbols, we take into account restrictions on the transmit symbol alphabet and analyze real world signal constellations.
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