Statistical Eigenmode Transmission Over Jointly Correlated MIMO Channels
TLDR
A general jointly correlated MIMO channel model, which does not require separable spatial correlations at the transmitter and receiver is considered, and an iterative water-filling algorithm with guaranteed convergence is developed.Citations
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Journal ArticleDOI
Determinants and matrices. By A. C. Aitken. Pp. vii, 135. 4s. 6d. 1939. University Mathematical Texts, 1. (Oliver and Boyd)
TL;DR: In this paper, the authors show that if a is regular, then the ratio of 1.1 (n
(1.1) √ n (1)
√ 1.
Journal ArticleDOI
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues
TL;DR: In this article, the authors comprehensively survey the recent advances of C-RANs, including system architectures, key techniques, and open issues, and discuss the system architectures with different functional splits and the corresponding characteristics.
Journal ArticleDOI
Beam Division Multiple Access Transmission for Massive MIMO Communications
TL;DR: This work develops asymptotically necessary and sufficient conditions for optimal downlink transmission that require only statistical channel state information at the transmitter and proposes a beam division multiple access (BDMA) transmission scheme that simultaneously serves multiple users via different beams.
Book
Foundations of MIMO Communication
Robert W. Heath,Angel Lozano +1 more
TL;DR: Understand the fundamentals of wireless and MIMO communication with this accessible and comprehensive text, which provides a sound treatment of the key concepts underpinning contemporary wireless communication and M IMO, all the way to massive MIMo.
Journal ArticleDOI
An Overview on Resource Allocation Techniques for Multi-User MIMO Systems
TL;DR: In this paper, the authors provide a comprehensive overview of the various methodologies used to approach the aforementioned joint optimization task in the downlink of multiuser MIMO communication systems.
References
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Book
Convex Optimization
Stephen Boyd,Lieven Vandenberghe +1 more
TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI
Capacity of Multi‐antenna Gaussian Channels
TL;DR: In this paper, the authors investigate the use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading, and derive formulas for the capacities and error exponents of such channels, and describe computational procedures to evaluate such formulas.
Journal ArticleDOI
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
G. J. Foschini,M. J. Gans +1 more
TL;DR: In this article, the authors examined the performance of using multi-element array (MEA) technology to improve the bit-rate of digital wireless communications and showed that with high probability extraordinary capacity is available.
Book
Inequalities: Theory of Majorization and Its Applications
TL;DR: In this paper, Doubly Stochastic Matrices and Schur-Convex Functions are used to represent matrix functions in the context of matrix factorizations, compounds, direct products and M-matrices.
Book
Introduction to Space-Time Wireless Communications
TL;DR: This book is an accessible introduction to every fundamental aspect of space-time wireless communications and a powerful tool for improving system performance that already features in the UMTS and CDMA2000 mobile standards.