Massive MIMO With Spatially Correlated Rician Fading Channels
Ozgecan Ozdogan,Emil Björnson,Erik G. Larsson +2 more
- Vol. 67, Iss: 5, pp 3234-3250
TLDR
The statistical properties of the minimum mean squared error (MMSE), element-wise MMSE, and least-square channel estimates for this model, where the channels are spatially correlated Rician fading, are derived and analyzed.Citations
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On Capacity of Large-Scale MIMO Multiple Access Channels with Distributed Sets of Correlated Antennas
TL;DR: In this article, a deterministic equivalent of ergodic sum rate and an algorithm for evaluating the capacity-achieving input covariance matrices for the uplink large-scale multiple-input multiple-output (MIMO) antenna channels are proposed.
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Design, Analysis, and Optimization of a Large Intelligent Reflecting Surface-Aided B5G Cellular Internet of Things
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Spectral and Energy Efficiency in Cell-Free Massive MIMO Systems Over Correlated Rician Fading
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Massive MIMO with Imperfect Channel Covariance Information
TL;DR: It is shown that having covariance information is not critical, but that it is relatively easy to acquire it and to achieve SE close to the ideal case of having perfect statistical information.
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Energy-Efficient Access-Point Sleep-Mode Techniques for Cell-Free mmWave Massive MIMO Networks With Non-Uniform Spatial Traffic Density
TL;DR: Numerical results show that the use of properly designed GoF-based ASO strategies under a non-uniform spatial traffic distribution can serve to considerably improve the achievable energy efficiency.
References
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Fundamentals of statistical signal processing: estimation theory
TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
Journal ArticleDOI
Massive MIMO for next generation wireless systems
TL;DR: While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly joined terminals, the exploitation of extra degrees of freedom provided by the excess of service antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
Journal ArticleDOI
Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
TL;DR: How many antennas per UT are needed to achieve η% of the ultimate performance limit with infinitely many antennas and how many more antennas are needed with MF and BF to achieve the performance of minimum mean-square error (MMSE) detection and regularized zero-forcing (RZF), respectively are derived.
Book
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency
TL;DR: This monograph summarizes many years of research insights in a clear and self-contained way and providest the reader with the necessary knowledge and mathematical toolsto carry out independent research in this area.
Journal ArticleDOI
A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems
TL;DR: In this article, the problem of channel estimation in multi-cell interference-limited cellular networks is addressed by enabling a low-rate coordination between cells during the channel estimation phase itself.