Delay Performance of MISO Wireless Communications

TL;DR

This paper analyzes the delay performance of MISO wireless systems under URLLC constraints, providing mathematical models and insights for designing reliable low-latency communication networks.

Contribution

It offers closed-form delay bounds and compares different MISO transmission schemes under various channel knowledge and power conditions.

Findings

Transmit beamforming improves delay performance with perfect channel knowledge.

Finite blocklength coding impacts delay distribution significantly.

Design guidelines for ultra-reliable low-latency MISO systems are provided.

Abstract

Ultra-reliable, low latency communications (URLLC) are currently attracting significant attention due to the emergence of mission-critical applications and device-centric communication. URLLC will entail a fundamental paradigm shift from throughput-oriented system design towards holistic designs for guaranteed and reliable end-to-end latency. A deep understanding of the delay performance of wireless networks is essential for efficient URLLC systems. In this paper, we investigate the network layer performance of multiple-input, single-output (MISO) systems under statistical delay constraints. We provide closed-form expressions for MISO diversity-oriented service process and derive probabilistic delay bounds using tools from stochastic network calculus. In particular, we analyze transmit beamforming with perfect and imperfect channel knowledge and compare it with orthogonal space-time codes and antenna selection. The effect of transmit power, number of antennas, and finite blocklength channel coding on the delay distribution is also investigated. Our higher layer performance results reveal key insights of MISO channels and provide useful guidelines for the design of ultra-reliable communication systems that can guarantee the stringent URLLC latency requirements.