An Accurate Approximation of Resource Request Distributions in Millimeter Wave 3GPP New Radio Systems

TL;DR

This paper develops an accurate approximation method for modeling resource request distributions in millimeter wave 3GPP New Radio systems, considering channel conditions, system parameters, and shadow fading effects.

Contribution

It introduces a novel approximation of the resource request pmf using Normal distribution and error functions, accounting for shadow fading effects.

Findings

Normal distribution accurately approximates the SNR CDF in millimeter wave systems

The approximation effectively models resource request pmf under various system parameters

Shadow fading significantly impacts resource request distribution

Abstract

The recently standardized millimeter wave-based 3GPP New Radio technology is expected to become an enabler for both enhanced Mobile Broadband (eMBB) and ultra-reliable low latency communication (URLLC) services specified to future 5G systems. One of the first steps in mathematical modeling of such systems is the characterization of the session resource request probability mass function (pmf) as a function of the channel conditions, cell size, application demands, user location and system parameters including modulation and coding schemes employed at the air interface. Unfortunately, this pmf cannot be expressed via elementary functions. In this paper, we develop an accurate approximation of the sought pmf. First, we show that Normal distribution provides a fairly accurate approximation to the cumulative distribution function (CDF) of the signal-to-noise ratio for communication systems operating in the millimeter frequency band, further allowing evaluating the resource request pmf via error function. We also investigate the impact of shadow fading on the resource request pmf.