Outage Probability of Millimeter Wave Cellular Uplink with Truncated Power Control

TL;DR

This paper models the uplink outage probability in millimeter wave cellular networks using stochastic geometry, accounting for power control, blockage, and maximum power constraints, providing insights into network performance.

Contribution

It introduces a tractable analytical framework for uplink outage probability in multi-tier mmWave networks with truncated power control and maximum power limits.

Findings

Maximum power constraints significantly impact outage probability.

Closed-form expressions for SINR outage probability are derived.

Dense network analysis uses a simplified LOS region model.

Abstract

In this paper, using the stochastic geometry, we develop a tractable uplink modeling framework for the outage probability of both the single and multi-tier millimeter wave (mmWave) cellular networks. Each tier's mmWave base stations (BSs) are randomly located and they have particular spatial density, antenna gain, receiver sensitivity, blockage parameter and pathloss exponents. Our model takes account of the maximum power limitation and the per-user power control. More specifically, each user, which could be in line-of-sight (LOS) or non-LOS to its serving mmWave BS, controls its transmit power such that the received signal power at its serving BS is equal to a predefined threshold. Hence, a truncated channel inversion power control scheme is implemented for the uplink of mmWave cellular networks. We derive closed-form expressions for the signal-to-interference-and-noise-ratio (SINR) outage probability for the uplink of both the single and multi-tier mmWave cellular networks. Furthermore, we analyze the case with a dense network by utilizing the simplified model, where the LOS region is approximated as a fixed LOS disc. The results show that imposing a maximum power constraint on the user significantly affects the SINR outage probability in the uplink of mmWave cellular networks.