# Cloud-based Queuing Model for Tactile Internet in Next Generation of RAN

## TL;DR

This paper proposes a cloud-based queuing model for the Tactile Internet in next-generation wireless networks, optimizing resource allocation to reduce power consumption while ensuring ultra-low latency.

## Contribution

It introduces a novel queuing model for TI in CRAN architecture using PD-NOMA, with a dynamic resource allocation approach to minimize power under delay constraints.

## Key findings

- Dynamic delay adjustment reduces transmit power.
- Energy efficiency comparison between OFDMA and PD-NOMA.
- Resource allocation effectively balances power and latency.

## Abstract

Ultra-low latency is the most important requirement of the Tactile Internet (TI), which is one of the proposed services for the next-generation wireless network (NGWN), e.g., fifth generation (5G) network. In this paper, a new queuing model for the TI is proposed for the cloud radio access network (CRAN) architecture of the NGWN by applying power domain non-orthogonal multiple access (PD-NOMA) technology. In this model, we consider both the radio remote head (RRH) and baseband processing unit (BBU) queuing delays for each end-to-end (E2E) connection between a pair of tactile users. In our setup, to minimize the transmit power of users subject to guaranteeing an acceptable delay of users, and fronthaul and access constraints, we formulate a resource allocation (RA) problem. Furthermore, we dynamically set the fronthaul and access links to minimize the total transmit power. Given that the proposed RA problem is highly non-convex, in order to solve it, we utilize diverse transformation techniques such as successive convex approximation (SCA) and difference of two convex functions (DC). Numerical results show that by dynamic adjustment of the access and fronthaul delays, transmit power reduces in comparison with the fixed approach per each connection. Also, energy efficiency of orthogonal frequency division multiple access (OFDMA) and PD-NOMA are compared for our setup.