An Analytic Hierarchy Process (AHP) Based QoS-aware Mode Selection Algorithm for D2D Enabled Heterogeneous Networks

TL;DR

This paper introduces an AHP-based mode selection algorithm for D2D-enabled NSA 5G networks that considers user service requirements and mobility, improving key performance indicators across multiple service slices.

Contribution

It proposes a novel two-level AHP mechanism for mode selection that incorporates service needs and mobility effects, reducing unnecessary handovers in D2D-enabled NSA 5G networks.

Findings

Outperforms existing methods in key performance indicators for all three slices.

Effectively considers user service requirements in mode selection.

Reduces handover frequency by accounting for UE mobility.

Abstract

Device-to-device (D2D) communication was proposed to enhance the coverage of cellular base stations. In a D2D enabled non-standalone fifth generation cellular network (NSA), service demand of a user equipment (UE) may be served in four \emph{modes}: through LTE only, through NR only, through LTE via D2D and through NR via D2D. Such mode selection should consider the service requirements of the UEs (e.g., high data rate, low latency, ultra-reliability, etc.) and the overhead incurred by handovers. In existing mode selection approaches for D2D enabled NSA, the service requirements of the UEs have been largely ignored. To address this, in this paper, we propose a mode selection algorithm for D2D enabled NSA based on a two-level Analytic Hierarchy Process (AHP). The proposed AHP-based mechanism considers the service requirements of the UEs in level 1; and mode selection options (i.e., LTE only, NR only, LTE via D2D and NR via D2D) in level 2. Thereafter, a novel mode selection algorithm is proposed by combining the static ranking computed by the proposed two-level AHP and the variation of Reference Signal Received Power (RSRP) in different modes, thus capturing the impact of UE mobility and reducing unnecessary handovers. Simulation results show that our proposed algorithm outperforms the best performing related work in terms of the major Key performance indicators (KPIs) for all three slices, i.e., enhanced mobile broadband (eMBB), ultra reliable low latency (uRLLc) and massive machine type communications (mMTc).