Beamformed Energy Detection in the Presence of an Interferer for Cognitive mmWave Network

TL;DR

This paper introduces beamformed energy detection schemes for mmWave cognitive radios, leveraging sparse channel characteristics and DoA information to improve primary user detection amid interference, with analytical performance bounds.

Contribution

It proposes novel BFED schemes utilizing full CSI and DoA estimates, enhancing detection performance in mmWave cognitive networks compared to traditional methods.

Findings

Analytical bounds for BFED with full CSI are derived.

BFED schemes outperform traditional energy detectors in simulations.

Performance depends on accuracy of DoA estimates.

Abstract

In this paper, we propose beamformed energy detection (BFED) spectrum sensing schemes for a single secondary user (SU) or a cognitive radio to detect a primary user (PU) transmission in the presence of an interferer. In the millimeter wave (mmWave) band, due to high attenuation, there are fewer multipaths, and the channel is sparse, giving rise to fewer directions of arrivals (DoAs). Sensing in only these paths instead of blind energy detection can reap significant benefits. An analog beamforming weight vector is designed such that the beamforming gain in the true DoAs of the PU signal is maximized while minimizing interference from the interferer. To demonstrate the bound on the system performance, the proposed sensing scheme is designed under the knowledge of full channel state information (CSI) at the SU for the PU-SU and Interferer-SU channels. However, as the CSI may not be available at the SU, another BFED sensing scheme is proposed, which only utilizes the estimate the DoAs. To model the estimates of DoAs, perturbations are added to the true DoAs. The distribution of the test statistic for BFED with full CSI schemes is derived under the null hypothesis so that the threshold of the Neyman-Pearson detector can be found analytically. The performance of both schemes is also compared with the traditional energy detector for multi-antenna systems.