Monopulse-based THz Beam Tracking for Indoor Virtual Reality Applications

TL;DR

This paper proposes a monopulse-based beam tracking method for indoor THz VR applications, utilizing RSSI feedback to efficiently track limited mobility users in sparse MIMO channels, with a flexible Matlab implementation.

Contribution

It introduces a novel monopulse-based beam tracking technique using RSSI that reduces feedback overheads for THz VR links, with a general-purpose Matlab implementation.

Findings

Effective beam tracking in sparse MIMO channels demonstrated.

Reduced feedback overhead achieved with RSSI-based method.

Flexible Matlab code allows easy adaptation to different scenarios.

Abstract

Terahertz spectrum is being researched upon to provide ultra-high throughput radio links for indoor applications, e.g., virtual reality (VR), etc. as well as outdoor applications, e.g., backhaul links, etc. This paper investigates a monopulse-based beam tracking approach for limited mobility users relying on sparse massive multiple input multiple output (MIMO) wireless channels. Owing to the sparsity, beamforming is realized using digitally-controlled radio frequency (RF) / intermediate-frequency (IF) phase shifters with constant amplitude constraint for transmit power compliance. A monopulse-based beam tracking technique, using received signal strength indi-cation (RSSI) is adopted to avoid feedback overheads for obvious reasons of efficacy and resource savings. The Matlab implementation of the beam tracking algorithm is also reported. This Matlab implementation has been kept as general purpose as possible using functions wherein the channel, beamforming codebooks, monopulse comparator, etc. can easily be updated for specific requirements and with minimum code amendments.