JPUSA in Coexistence of eMBB and URLLC Services in Multi-Cell IRS-Assisted Terahertz Networks

In this paper, we examine coexistence of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services within an intelligent reconfigurable surface (IRS)-assisted terahertz multi-cell network. The simultaneous operation of eMBB and URLLC services in the same network poses significant resource management (RM) challenges. To address this concern, we propose a joint power, user, and service allocation (JPUSA) framework. This optimization, which is a multi-objective optimization problem, aims to maximize the eMBB data rate while ensuring URLLC reliability. It is a challenging NP-hard mixed-integer nonlinear programming problem. We propose a weighted sum method to convert it into a single-objective optimization problem, decomposing it into eMBB and URLLC RM sub-problems. Specifically, a one-to-many matching game is introduced to allocate IRSs to eMBB users, and a puncturing technique is used to assign eMBB resources to URLLC users. Simulation results reveal a superior performance of the proposed scheme over baseline methods, particularly in terms of the eMBB sum data rates and URLLC reliability. Additionally, the proposed algorithm’s sum rate for eMBB users closely approximates that of an exhaustive search (ES) method. The results of our complexity analysis demonstrate that the proposed scheme has a lower computational complexity as compared to the ES scheme.