THz RHS Transceiver for Low-Latency Multi-User VR Transmission with MEC

TL;DR

This paper presents a THz-enabled MEC-assisted VR system using reconfigurable holographic surfaces for efficient multi-user beamforming, optimizing content delivery and beam shaping to significantly reduce latency in resource-constrained environments.

Contribution

It introduces an end-to-end model for THz RHS-based VR transmission, including novel optimization strategies for prefetching, rendering, and beamforming under various FoV scenarios.

Findings

Significant latency reduction demonstrated in simulations.

Effective optimization of content prefetching and beamforming.

Robust performance under tight resource constraints.

Abstract

This paper investigates a Terahertz (THz)-enabled mobile edge computing (MEC)-assisted virtual reality (VR) system using reconfigurable holographic surfaces (RHS) as transceiver for multi-user beamforming and holographic-pattern division multiple access (HDMA). We develop an end-to-end model for the 3D field-of-view (FoV) generation pipeline and optimize content prefetching, rendering offloading under memory and power constraints, and beamforming accommodating user movement by adjusting holographic pattern weights for beamshaping and feeds power allocation for excitation amplitude adjustment. For homogeneous FoVs, we derive closed-form policies for prefetching 2D or 3D FoVs or direct transmission of 3D FoVs. For heterogeneous FoVs, we exploit the timescale separation between prefetching/rendering and fast RHS beamforming, decomposing the optimization into a rendering-prefetching combinatorial optimization problem and a short-timescale beamforming convex optimization problem. Simulations show significant latency reductions under tight resource constraints.