Reliability-Oriented Design Framework in NOMA-Assisted Mobile Edge Computing

In this paper, we consider mission-critical task offloading in the non-orthogonal multiple access (NOMA)-assisted mobile edge computing (MEC) networks, where local information collected from multiple local devices are processed at the MEC node. The process of the MEC service contains a NOMA-assisted communication phase and a computation phase, which is required to be reliable and low-latency. For such network, we derive the overall reliability of the service. On the one hand, we characterize the communication behavior in the finite blocklength (FBL) regime, where the impact of imperfect successive interference cancellation in the NOMA scheme is considered. On the other hand, we exploit the extreme value theory (EVT) to study the delay violation error of the computation phase. Following the characterizations, we provide an optimal design framework minimizing the overall error probability via a joint time and power allocation. To address the formulated non-convex problem, a modified block coordinate descent method is proposed, with which the original problem is decomposed into two sub-problems that can be solved optimally after conducting a set of analytical results. We validate our analytical model via simulations and demonstrate the proposed design's improved performance in comparison to benchmarks.

Duke Scholars

Author Peng Sun DKU Faculty