I. Introduction
The drastically increasing popularity of new computation-demanding and delay-sensitive mobile applications have been enabled by the increasing popularity of smart mobile devices. These applications bring numerous computation tasks that cannot be tackled easily by the mobile devices owing to their limited processing capabilities. Mobile edge computing (MEC) has emerged as a promising computing paradigm to deal with this problem in future networks, which allows MEC users (MUs) to offload partial tasks to the edge of networks, i.e., MEC servers [1]. MEC is a type of distributed computing architecture that allocates computation resources to the small computing servers deployed at the edge of the network to provide better quality of service (QoS) for delay-sensitive applications [2]. Despite the promising benefits, the MEC network would potentially result in additional interference supposing that the available spectrum resources are reused for MEC offloading [3]. The interference would significantly deteriorate the QoS of the MEC network and reduce the computation efficiency. As a key metric for modern large-scale networks, end-to-end (E2E) delay for MEC networks is easy to be illustrated while hard to be evaluated, considering the randomness of the network architecture and the complex transmission environment. Thus, it is crucial to investigate the influences of the network parameters on the E2E delay of the MEC networks under multiple interferes environment.