Mobile edge computing network resource allocation method based on full duplex relay

Abstract

The invention relates to a mobile edge computing network resource allocation method based on full duplex relay, and belongs to the field of mobile edges. The method comprises the following steps: constructing an uplink mobile edge computing network model assisted by a full duplex relay; analyzing transmission characteristics of the constructed system, jointly optimizing a user matching strategy, auser task unloading coefficient and transmission power when constraints such as user computing task delay, user outage probability, user maximum computing power and maximum transmitting power are met, and establishing a system total energy consumption minimization optimization problem; decomposing an original non-convex optimization problem into two deterministic convex optimization sub-problemsto be solved by utilizing a worst criterion and an alternate iteration method. According to the method, the pressure of executing tasks with large calculation data volume and low time delay request bythe user can be effectively relieved, the service quality of the user is improved, and compared with the prior art, the consumption of executing the calculation tasks can be effectively reduced, theinterruption probability of the system is reduced, and the stubborn performance of the system is improved.

Description

technical field [0001] The invention belongs to the field of mobile edge computing, and relates to a full-duplex relay-based mobile edge computing network resource allocation method. Background technique [0002] With the rapid development of mobile communication technology and the increasing popularity of smart terminals, various network services and applications are emerging, such as virtual reality, online conferences, and video calls. Such communication services with a large amount of data put forward stricter requirements on the communication network in terms of low delay and high reliability. Although the processing capability of the new intelligent terminal processor is getting stronger and stronger, it is still unable to handle communication services with large calculation and high delay requirements. On the other hand, the processing of local data by the terminal device also increases the consumption of battery power and its own loss, which greatly affects the oper...

AI Technical Summary

Problems solved by technology

However, in the actual mobile edge computing network, due to the randomness of the task data volume and delay request, the bilateral task calculation method cannot flexibly allocate computing resources, resulting in the utilization of computing resources on the user's local server or edge server. Low and computationally expensive

At the same time, although the mobile edge computing system based on the traditional half-duplex relay has improved the service quality of network edge users to a certain extent and increased the coverage of the network, the half-duplex asynchronous transmission and reception method also leads to slower data transmission time. Long, it is difficult to handle data services with lower latency requests

In addition, although a few works have studied the resource allocation problem of edge computing networks with full-duplex relays, the research was designed under the assumption of perfect channel state information

However, due to the randomness of user equipment distribution, quantization error, and channel delay, it is impractical to perfectly obtain channel state information

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