Effective RAT Selection Approach for 5G Dense Wireless Networks

TL;DR

This paper introduces a novel RAT selection algorithm for 5G Dense Networks that reduces unnecessary handovers and delays while maintaining high throughput and efficiency, based on a new RBSE metric.

Contribution

The work presents an innovative RAT selection method utilizing RBSE to optimize handover decisions in 5G Dense Networks, outperforming standard policies.

Findings

Significantly reduces handover frequency

Decreases end-to-end delay

Maintains high throughput and spectral efficiency

Abstract

Dense Networks (DenseNet) and Multi-Radio Access Technologies (Multi-RATs) are considered as key features of the emerging fifth generation (5G) wireless systems. A Multi-RAT DenseNet is characterized by a very dense deployment of low-power base stations (BSs) and by a multi-tier architecture consisting of heterogeneous radio access technologies. Such a network aims to guarantee high data-rates, low latency and low energy consumption. Although the usage of a Multi RAT DenseNet solves problems such as coverage holes and low performance at the cell edge, frequent and unnecessary RAT handovers may occur with a consequent high signaling load. In this work, we propose an effective RAT selection algorithm that efficiently manages the RAT handover procedure by \emph{(i)} choosing the most suitable RAT that guarantees high system and user performance, and \emph{(ii)} reducing unnecessary handover events. In particular, the decision to trigger a handover is based on a new system parameter named Reference Base Station Efficiency (RBSE). This parameter takes into account metrics related to both the system and the user: the BS transmitted power, the BS traffic load and the users' spectral efficiency. We compare, by simulation, the proposed scheme with the standardized 3GPP policies. Results show that the proposed RAT selection scheme significantly reduces the number of handovers and the end-to-end delay while maintaining high system throughput and user spectral efficiency.