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Majorization and Matrix-Monotone Functions in Wireless Communications
Author(s): Eduard Jorswieck;Holger Boche
Source: Journal:Foundations and Trends® in Communications and Information Theory ISSN Print:1567-2190, ISSN Online:1567-2328 Publisher:Now Publishers Volume 3 Number 6,
Document Type: Article Pages: 149(553-701) DOI: 10.1561/0100000026
Abstract: This short tutorial presents two mathematical techniques namely
Majorization Theory
and
Matrix-Monotone Functions
, reviews their basic definitions and describes their concepts clearly with many illustrative examples. In addition to this tutorial, new results are presented with respect to Schur-convex functions and regarding the properties of matrix-monotone functions.
The techniques are applied to solve communication and information theoretic problems in wireless communications. The impact of spatial correlation in multiple antenna systems is characterized for many important performance measures, e.g., average mutual information, outage probability, error performance, minimum
and wideband slope, zero-outage capacity, and capacity region. The impact of user distribution in cellular systems is characterized for different scenarios including perfectly informed transmitters and receivers, regarding, e.g., the average sum rate, the outage sum rate, maximum throughput. Finally, a unified framework for the performance analysis of multiple antenna systems is developed based on matrix-monotone functions. The optimization of transmit strategies for multiple antennas is carried out by optimization of matrix-monotone functions. The results within this framework resemble and complement the various results on optimal transmit strategies in single-user and multiple-user multiple-antenna systems.
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