# Resource Management and Admission Control for Tactile Internet in Next Generation of RAN

## TL;DR

This paper introduces a novel queuing model and resource management framework for the Tactile Internet in 5G C-RAN architectures, optimizing power, delay, and user admission through advanced convex approximation techniques.

## Contribution

It proposes a new queuing model for TI in C-RAN, along with an efficient resource allocation and admission control algorithm that dynamically adjusts fronthaul and access links.

## Key findings

- Dynamic delay adjustment reduces transmit power.
- Significant decrease in user rejection rates.
- More users are admitted compared to fixed approaches.

## Abstract

In this paper, a new queuing model for the Tactile Internet (TI) is proposed for the cloud radio access network (C-RAN) architecture of the next generation wireless networks, e.g., 5G, assisted via orthogonal frequency division multiple access (OFDMA) technology. This model includes both the radio remote head (RRH) and baseband processing unit (BBU) queuing delays and reliability for each end to end (E2E) connection between each pair of tactile users. For this setup, with the aim to minimize the transmit power of users subject to guaranteeing tolerable delay of users, and fronthaul and access limitations, we formulate a resource allocation problem. Since the proposed optimization problem is highly non-convex, to solve it in an efficient manner, we utilize diverse transformation techniques such as successive convex approximation (SCA) and difference of two convex functions (DC). In addition, we propose an admission control (AC) algorithm to make problem feasible. In our proposed system model, we dynamically adjust the fronthaul and access links to minimize the transmit power. Simulation results reveal that by dynamic adjustment of the access and fronthaul delays, transmit power can be saved compared to the case of fixed approach per each transmission session. Moreover, the number of rejected users in the network is significantly reduced and more users are accepted.