Difference Antenna Selection and Power Allocation for Wireless Cognitive Systems

TL;DR

This paper introduces a novel antenna selection method called difference selection for wireless cognitive radio systems, optimizing mutual information and outage probability under practical power constraints, and demonstrating its advantages over existing ratio selection methods.

Contribution

It proposes a new antenna selection technique with optimized parameters for improved performance in cognitive radio systems under real-world power constraints.

Findings

Difference selection can outperform ratio selection under certain conditions.

Optimized parameters improve mutual information and outage probability.

Practical constraints significantly influence system performance.

Abstract

In this paper, we propose an antenna selection method in a wireless cognitive radio (CR) system, namely difference selection, whereby a single transmit antenna is selected at the secondary transmitter out of $M$ possible antennas such that the weighted difference between the channel gains of the data link and the interference link is maximized. We analyze mutual information and outage probability of the secondary transmission in a CR system with difference antenna selection, and propose a method of optimizing these performance metrics of the secondary data link subject to practical constraints on the peak secondary transmit power and the average interference power as seen by the primary receiver. The optimization is performed over two parameters: the peak secondary transmit power and the difference selection weight $\delta\in [0, 1]$. We show that, difference selection using the optimized parameters determined by the proposed method can be, in many cases of interest, superior to a so called ratio selection method disclosed in the literature, although ratio selection has been shown to be optimal, when impractically, the secondary transmission power constraint is not applied. We address the effects that the constraints have on mutual information and outage probability, and discuss the practical implications of the results.