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Multiple input multiple output (MIMO) systems channel modeling and analysis
, 2007 openaire +1 more source
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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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Measurement of keyhole effect in a wireless multiple-input multiple-output (MIMO) channel
IEEE Communications Letters, 2003 It has been predicted theoretically that for some environments, the capacity of wireless multiple-input multiple-output systems can become very low even for uncorrelated signals; this effect has been termed "keyhole" or "pinhole." In this letter, we present the (to our knowledge) first measurement of this effect.
P Almers +2 more
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A Generalized Space–Time Multiple-Input Multiple-Output (MIMO) Channel Model
IEEE Transactions on Wireless Communications, 2004This paper presents a generalized multiple-input multiple-output (MIMO) channel modeling technique for link level and system level simulations. The model combines the correlation approach and wave superposition approach to achieve both accuracy and efficiency.
Hao Xu, D Chizhik
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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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