Coexistence of Energy-Minimizing URLLC and eMBB in Power IoT via NOMA-Based Collaborative MEC Heterogeneous Network

As the power Internet of Things (PIoT) are widely connected and intelligent, the coexistence of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services in power grids is becoming increasingly necessary for precise sensing and control. Specifically, eMBB mainly pursues high data rates, while URLLC requires low-latency and ultra-reliable communications. Since network resources are limited, high throughput eMBB users in a shared environment can adversely affect the ability of URLLC users to achieve low latency and high reliability due to resource contention and interference. Therefore it is particularly difficult to overcome the coexistence challenges in PIoT. In this paper, we propose a non-orthogonal multiple access (NOMA)-based collaborative mobile edge computing (C-MEC) heterogeneous network model for PIoT (PNCM-HetNets). The main objective is to minimize the total energy consumption while while satisfying URLLC and eMBB offload requests. We develop an alternating optimization-based energy-minimizing resource allocation (AOEMRA) algorithm for PNCM-HetNets, which decomposes the joint optimization problem into subproblems of subchannel allocation, power control and collaborative computing resource allocation. Numerous simulation results show that our algorithm achieves approximated optimal performance with reduced complexity and outperforms benchmark methods in terms of energy savings for users.

I. Introduction

With the transformation of the power industry from traditional centralized power generation to a distributed, intelligent, and highly interconnected network, advanced power systems necessitate a greater degree of integration among power equipment, users, and services [1], [2]. As node data grows exponentially and the number of terminals proliferates, the power Internet of Things (PIoT) faces the challenge of ensuring the coexistence of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services, which imposes higher data rates and low latency in communication networks [3]. Typical eMBB power services, including high-definition video surveillance and robot inspection, require extremely high data rates, while URLLC power services, such as telemetry, remote sensing, and precise load control and remote control services, demand high immediacy in response and stability in communication. Consequently, communication and computation resource allocation during the coexistence of these two services in PIoT are notably challenging due to the inherent trade-offs [4], [5].