Multiple-Association Supporting HTC/MTC in Limited-Backhaul Capacity Ultra-Dense Networks

TL;DR

This paper proposes a multiple association scheme in ultra-dense networks to support both human and machine communications efficiently despite backhaul limitations, demonstrating improved spectral efficiency and device support.

Contribution

It introduces a novel multiple association scheme and a stochastic geometry-based framework to analyze and optimize UDN performance under backhaul constraints.

Findings

Optimal number of SCs for HTC users identified

Multiple association improves MTC support and ASE

Mathematical analysis matches simulation results

Abstract

Coexistence of Human-Type Communications (HTCs) and Machine-Type Communications (MTCs) is inevitable. Ultra-Dense Networks (UDNs) will be efficacious in supporting both types of communications. In a UDN, a massive number of low-power and low-cost Small Cells (SCs) are deployed with density higher than that of the HTC users. In such a scenario, the backhaul capacities constitute an intrinsic bottleneck for the system. Hence, we propose a multiple association scheme where each HTC user associates to and activates multiple SCs to overcome the backhaul capacity constraints. In addition, having more active cells allows for more MTC devices to be supported by the network. Using tools from stochastic geometry, we formulate a novel mathematical framework investigating the performance of the limited-backhaul capacity UDN in terms of Area Spectral Efficiency (ASE) for both HTC and MTC and the density of supported MTC devices. Extensive simulations were conducted to verify the accuracy of the mathematical analysis under different system parameters. Results show the existence of an optimum number of SCs to which an HTC user may connect under backhaul capacity constraints. Besides, the proposed multiple association scheme significantly improves the performance of MTC in terms of both ASE and density of supported devices.