Homomorphic Directional Beamforming with Analog True Time Delay Arrays

TL;DR

This paper introduces a novel homomorphic algorithm for true-time-delay array beamforming that efficiently generates split beampatterns with low computational and memory costs, addressing beam-squint issues.

Contribution

The paper presents the Homomorphic Directional Beamforming (HDB) algorithm, leveraging a homomorphism between array configurations and beampatterns for efficient split-beampattern synthesis.

Findings

HDB achieves low memory and computational requirements.

HDB provides near-uniform beamforming gains across subbands.

The approach effectively addresses beam-squint effects in TTD arrays.

Abstract

Recently, true-time-delay (TTD) arrays, also referred to as joint phase-time arrays (JPTA), have been investigated for low-cost frequency-dependent beamforming capabilities to enable various applications, including beam-squint correction, fast beam training, and serving multiple user equipment (UE)s by frequency band to direction mapping, termed as split beampatterns. Several heuristics and optimization-based solutions have been proposed to determine TTD array parameters settings. However, they have practical limitations due to either computationally demanding optimization procedures, requirements for extremely large memory look-up tables, or degradations due to the beam-squint effect. In this article, we propose a novel split-beampattern generation algorithm based on the observed homomorphism between TTD array configuration matrices and corresponding beampatterns. First, we rigorously analyze the beampattern synthesis process and demonstrate the observed homomorphism and mathematical structure. Then, we propose the Homomorphic Directional Beamforming (HDB) algorithm to approximate the desired split beampatterns by utilizing a generator beampattern dictionary that requires a dictionary size orders of magnitude lower than existing approaches without ignoring the beam squint. With extensive simulations, we show that the proposed algorithm can provide a practical implementation with low memory and low computational cost requirements. In addition, HDB design provides close to uniform beamforming gains among UEs in different subbands, enabling fairness in power allocation.