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Energy efficient discontinuous mobile edge computing

Computation offloadingenergy efficiencyGreen networkingMobile Edge ComputingNetworking

Introduction

The invention refers to a method for the mobile edge computing context, with a required quality of service, in wireless networks, which allocates, through an algorithm, the communication and computing resources by switching at least one access terminal and at least one unit calculation between the respective active or low consumption modes. This allocation is performed to minimize the joint energy consumption of the network.

Technical features

The invention includes at least one mobile device (UE) that transfers a burdensome computation, at least one access point (AP) that can be switched between an active mode and a low power consumption mode, and at least one compute unit (MEH) which can calculate tasks and switch between active mode and low energy mode. The use of low energy cost states is envisaged for all network elements and the tools of stochastic optimization are used as a method to define an optimal scheduler that dynamically allocates communication and computing resources, minimizing the overall system energy under guaranteed service quality limits (latency). There is an energy efficient solution, with a guarantee of service quality, without assuming any prior knowledge of the statistics of context parameters such as wireless channels and data arrivals to be transferred for calculation. Thanks to stochastic optimization, the method works online and without the knowledge of these parameters, if not for their instantaneous values.

Possible Applications

  • Any industry that uses mobile networks;
  • Machine learning / artificial intelligence;
  • Real-time data analysis for process diagnosis;
  • Detection of anomalies and predictive maintenance of industrial processes;
  • Internet of Things (IoT).

Advantages

  • Generalities of application;
  • Method adaptable according to individual needs;
  • Energy efficiency;
  • Management costs reduction;
  • Sustainability.