# D2D-Based Grouped Random Access to Mitigate Mobile Access Congestion in 5G Sensor Networks

## TL;DR

This paper investigates a D2D-based grouped random access scheme to reduce congestion in 5G sensor networks, analyzing the impact of D2D link reliability and leveraging geolocation databases to improve access delay.

## Contribution

It introduces a novel D2D-based grouping approach for random access in 5G sensor networks, incorporating GDBs for optimized grouping and demonstrating significant delay reduction.

## Key findings

- D2D link reliability greatly affects group access performance.
- GDB-assisted grouping improves access delay.
- The proposed method outperforms traditional random access schemes.

## Abstract

The Fifth Generation (5G) wireless service of sensor networks involves significant challenges when dealing with the coordination of ever-increasing number of devices accessing shared resources. This has drawn major interest from the research community as many existing works focus on the radio access network congestion control to efficiently manage resources in the context of device-to-device (D2D) interaction in huge sensor networks. In this context, this paper pioneers a study on the impact of D2D link reliability in group-assisted random access protocols, by shedding the light on beneficial performance and potential limitations of approaches of this kind against tunable parameters such as group size, number of sensors and reliability of D2D links. Additionally, we leverage on the association with a Geolocation Database (GDB) capability to assist the grouping decisions by drawing parallels with recent regulatory-driven initiatives around GDBs and arguing benefits of the suggested proposal. Finally, the proposed method is approved to significantly reduce the delay over random access channels, by means of an exhaustive simulation campaign.