Admission Control in 5G Networks for the Coexistence of eMBB-URLLC Users

TL;DR

This paper addresses admission control in 5G networks, proposing an approximation algorithm to maximize eMBB user admission while prioritizing URLLC users, ensuring reliable low-latency and high data rate coexistence.

Contribution

It introduces a novel approximation method for the NP-hard admission control problem in 5G, balancing eMBB and URLLC requirements effectively.

Findings

Proposed algorithm achieves near-optimal performance.

Maximizes admitted eMBB users with guaranteed data rates.

Ensures priority for URLLC users in resource allocation.

Abstract

In this paper, we consider the problem of admission control in 5G networks where enhanced mobile broadband (eMBB) users and ultra-reliable low-latency communication (URLLC) users are coexisting. URLLC users require low latency and high reliability while eMBB users require high data rates. Thus, it is essential to control the admission of eMBB users while giving priority to all URLLC users in a network where both types of users are coexisting. Our aim is to maximize the number of admitted eMBB users to the system with a guaranteed data rate while allocating resources to all URLLC users. We formulated this as an l_0 minimization problem. Since it is an NP-hard problem we have used approximation methods and sequential convex programming to obtain a suboptimal solution. Numerically we have shown that the proposed algorithm achieves near-optimal performance. Our algorithm is able to maximize the number of admitted eMBB users with an optimal allocation of resources while giving priority to all URLLC users.