Trade-off Between Optimal Efficiency and Envelope Correlation Coefficient for Antenna Clusters

TL;DR

This paper develops a convex optimization framework to analyze and balance the trade-off between efficiency and channel correlation in multi-port antenna clusters, enabling improved MIMO performance.

Contribution

It introduces a novel convex optimization method with constraints to control power distribution, allowing simultaneous optimization of efficiency and correlation.

Findings

Channel correlation, efficiency, and power allocation are mutually conflicting.

The method effectively demonstrates trade-offs on a four-element array.

Optimizing these parameters enhances MIMO antenna performance.

Abstract

This paper introduces a theory for assessing and optimizing the multiple-input-multiple-output performance of multi-port cluster antennas in terms of efficiency, channel correlation, and power distribution. A method based on a convex optimization of feeding coefficients is extended with additional constraints allowing the user to control a ratio between the power radiated by the clusters. The formulation of the problem makes it possible to simultaneously optimize total efficiency and channel correlation with a fixed ratio between power radiated by the clusters, thus examining a trade-off between these parameters. It is shown that channel correlation, total efficiency, and allocation of radiated power are mutually conflicting parameters. The trade-offs are shown and discussed. The theory is demonstrated on a four-element antenna array and on a mobile terminal antenna.