Power Loading based on Portfolio Theory for Densified Millimeter-Wave Small-Cell Communications
Shuyi Shen, Bernardo A. Huberman, Lin Cheng, and Gee-Kung Chang
TL;DR
This paper introduces a power loading scheme based on portfolio theory for millimeter-wave small-cell networks, significantly enhancing throughput and reducing interference variability through statistical interference analysis.
Contribution
It presents a novel power loading method leveraging portfolio theory tailored for millimeter-wave small-cell densification, improving network performance.
Findings
Average throughput increased by 91%
Variance of interference reduced
Effective interference management achieved
Abstract
We experimentally demonstrate a novel scheme of power loading based on portfolio theory for millimeter-wave small-cell densification. By exploiting the statistical characteristics of interference, this approach improves the average throughput by 91% and reduces the variance.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Microwave Engineering and Waveguides