Mobile edge computing network task high-safety unloading resource allocation method based on NOMA

Abstract

The invention discloses a mobile edge computing network task high-safety unloading resource allocation method based on NOMA. Under the conditions that the channel state information of an eavesdropperis not completely known and the safety rate and the transmission power are limited, information is safely unloaded by maximizing the minimum anti-eavesdropping capability of the uplink NOMA user. Twousers simultaneously unload respective partial tasks to an access point equipped with a mobile edge computing server at the periphery in a resource block sharing manner through a NOMA uplink so as tocarry out rapid processing; a positive auxiliary role in the mobile user computing task is realized, and it is ensured that the mobile user side quickly executes the computing task with low delay tolerance and high complexity. The method has the advantage that under the condition that the actual eavesdropper channel state information is not completely known, safe unloading of the information is ensured by enhancing the anti-eavesdropping capability. The invention also defines an interrupt event based on probability analysis so as to measure the communication performance of the system and evaluate influence of the sending power and the unloading task load on the system performance.

Description

technical field [0001] The invention belongs to the field of communication technology, and relates to a NOMA-based mobile edge computing network task high security offloading resource allocation method. Background technique [0002] Recently, large wireless devices have been widely deployed and mobile data traffic has exploded. Due to the constraint of equipment size and the consideration of product cost, the operation of network mobile terminal equipment is often limited by power. In addition, weak computing power cannot support continuous high-performance computing for an increasing number of applications, such as: virtual / augmented reality, remote surgery, and autonomous driving. To solve these problems, mobile edge computing (MEC) and non-orthogonal multiple access (NOMA) are considered to be two very promising technologies in the Internet of Things. [0003] The basic idea of ​​mobile edge computing is to utilize active devices in the radio access network. There are ...

Images