On the Age of Information for AMP based Grant-Free Random Access

TL;DR

This paper investigates the Age of Information in AMP-based grant-free random access for IoT, proposing a user scheduling strategy to improve information freshness and demonstrating its efficiency and robustness through numerical analysis.

Contribution

It introduces a novel user scheduling strategy with sleep and active thresholds to enhance AoI in AMP-based grant-free access, outperforming traditional schemes.

Findings

AMP-based grant-free scheme reduces pilot resource usage

Scheme maintains low AAoI despite user number fluctuations

Threshold strategy significantly improves information freshness

Abstract

With the rapid development of Internet of Things (IoT), massive devices are deployed, which poses severe challenges on access networks due to limited communication resources. When massive users contend for access, the information freshness gets worse caused by increasing collisions. It could be fatal for information freshness sensing scenarios, such as remote monitoring systems or self-driving systems, in which information freshness plays a critical part. In this paper, by taking the Age of Information (AoI) as the primary performance indicator, the information freshness using AMP-based grant-free scheme is investigated and compared with grant-based scheme. Base on the analysis, a user scheduling strategy with sleep threshold and forcing active threshold is proposed to further reduce average AoI (AAoI). Numerical results reveal that the AMP-based grant-free scheme can provide sufficient access capability with less pilot resources, and it is robust to the fluctuation of the number of active users. That ensures that the AMP-based grant-free scheme can keep the AAoI at a low level. It is also shown that the proposed threshold strategy can effectively improve the information freshness.