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.
Brinsmead, Thomas S., Goodwin, Graham C.
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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.
H. Ge +3 more
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Multiple Input Multiple Output (MIMO), Orthogonal Frequency Division Multiplexing
2021Multi-user Massive MIMO, OFDM and other related techniques like Spatial diversity, Spatial decoupling, Ray tracing model, Beam forming, OFDM, and CDMA are discussed in this chapter.
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Dielectric Resonator-Based Multiple-Input Multiple-Output (MIMO) Antennas
2020This chapter discusses dielectric resonator antenna (DRA)-based multiple-input multiple-output (MIMO) antenna systems for various wireless applications with several antenna examples. A DRA supports several unique features, which makes it different from other radiating structures. The antenna acts as a backbone of a wireless communication system.
Gourab Das, Ravi Kumar Gangwar
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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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A review on massive Multiple-Input Multiple-Output (MIMO) system’s combiners
2021Massive multiple-input multiple-output (MIMO) technology for wireless communication is considered a key technology for the future fifth-generation (5G) communication networks. To reduce the propagation loss of channel, MIMO systems with analog or digital hybrid precoders and ...
Garima Kulshreshtha, Usha Chauhan
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Multiple input multiple output (MIMO) radio channel models
Third International Conference on 3G Mobile Communication Technologies, 2002In this paper we present a geometrically based stochastic model implementation of a MIMO radio channel model. This is based on a 3D two bounce model. The model is designed to be dependent on parameters associated with the deployment scenario rather than being based on any stochastic radio channel information.
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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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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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Multiple-input multiple-output (MIMO) receiver for wideband space-time communications
12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598), 2002A new receiver structure able to deliver high data rates in a multiple-input multiple-output (MIMO) frequency selective wireless environment is proposed and investigated. The optimal solution for the finite length MIMO decision feedback equalizer (DFE) with cancellation is derived and used to illustrate the potential of this architecture for space-time
J.-F. Frigon, B. Daneshrad
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