Sensing-Aided Near-Field Beam Tracking

TL;DR

This paper develops an analytical framework for near-field beamforming in wireless systems, addressing challenges like beam focusing, tracking, and robustness in dynamic scenarios with large antenna arrays and high frequencies.

Contribution

It introduces a comprehensive analytical model for near-field beamforming, including beam sensitivity, coherence time, and adaptive search methods, advancing understanding of near-field communication performance.

Findings

Derived closed-form expressions for beam correlation and sensitivity.

Proposed a dynamic polar coordinate grid for efficient beam search.

Validated the analysis and tracking strategies through extensive simulations.

Abstract

The interplay between large antenna apertures and high carrier frequencies in future wireless systems gives rise to near-field communications, where the curvature of spherical wavefronts renders traditional far-field beamforming models inadequate. This chapter addresses the following fundamental questions on near-field operation: (i) What is the maximum distance where far-field approximations remain effective for path gain prediction and beam design? (ii) What level of position resolution is needed for accurate near-field beam focusing? (iii) How frequently must channel state information be updated to maintain highly directive bweamforming in dynamic scenarios? We develop an analytical framework for assessing near-field beamforming gain degradation due to mismatches between the focusing point and the coordinates of a user. Closed-form expressions for beam correlation, beam sensitivity to user movement, and the direction of fastest beamforming gain degradation are derived. A dynamic polar coordinate grid is also proposed for low complexity and adaptive near-field beam search. Furthermore, we introduce the novel concept of beam coherence time, quantifying the temporal robustness of focused beams and enabling proactive sensing-aided beam tracking strategies. The effect of microstrip losses on the preceding derivations is also analyzed. Finally, extensive simulation results validate the presented theoretical analysis and beam tracking method over randomly generated user trajectories.