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.