URLLC-Enabled Full-Duplex Cell-Free Massive MIMO Systems With Mobility

Abstract

In the rapidly evolving domain of intelligent vehicular systems, reliable and instantaneous communication is paramount. This paper delves into the robustness of an ultra-reliable low-latency communication (URLLC)-enabled full-duplex cell-free massive multiple-input multiple-output (FD-CFm-MIMO) system, considering the unique challenges presented by mobile vehicular networks. Recognizing the constraints of real-world fronthaul links, we focus on a uniform fronthaul quantization strategy. Our primary contribution is deriving the cumulative distribution function (CDF) of the signal-to-interference-plus-noise ratio (SINR) at each receiver. We utilize the Welch-Satterthwaite approximation, taking into account the effects of imperfect channel state information (CSI) and the inherent mobility of vehicle communication units (VCUs). Building upon this, we present closed-form expressions of outage probability for both infinite and finite block-length transmission models. A comparative study using Monte Carlo simulations validates our analytical derivations. We consider the half-duplex CFm-MIMO system as a benchmark scheme. Our results underscore the significant influence of several system parameters, such as transmit power, VCU mobility, CSI accuracy, fronthaul link quality, residual interference (RI), and quantization nuances, Doppler power spectra models, pilot contamination on overall system performance.

Keywords

• Outage probability
• cell-free massive multiple-input and multiple-output (CFm-MIMO)
• confined fronthaul link
• ultra-reliable low latency communication (URLLC)
• vehicle communication
• mobility