A system energy consumption minimization method based on MEC-based NOMA narrowband Internet of Things

Abstract

A method for minimizing system energy consumption of non-orthogonal multiple access narrowband Internet of Things based on mobile edge computing, which is realized by jointly optimizing transmit power, computing resource allocation, and decoding sequencing in a narrowband Internet of Things network with both MEC and NOMA technologies System energy consumption minimization, the optimization problem is described as a multivariate optimization; P1 is decomposed into two sub-optimization problems: optimizing resource allocation and optimizing decoding sorting, wherein, for the optimization of resource allocation, firstly, according to the one-to-one logarithmic transformation Transform the P1 problem into a P2 convex problem, and then use the gradient descent algorithm to optimize the problem of transmission power and computing resource allocation; secondly, for the optimization of device decoding sorting, the tabu search algorithm is used to optimize variables. The present invention provides a method for minimizing energy consumption of the entire system by designing an optimization algorithm for joint transmission power, computing resource allocation, and device decoding and sorting in the narrowband Internet of Things with both MEC and NOMA technologies.

Description

technical field [0001] The present invention belongs to the field of wireless communication, in particular to a non-orthogonal multiple access (NOMA) narrowband Internet of Things based on mobile edge computing (Mobile Edge Computing, MEC) by optimizing computing resource allocation, user transmission power and decode ordering to minimize system energy consumption. Background technique [0002] With the development of NB-IoT technology, the amount of data in NB-IoT is growing rapidly. In NB-IoT, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) have become the two hottest technologies. At present, communication companies have invested a lot of money in the construction of base station computer rooms, but the investment and control in energy conservation and emission reduction have not fully exerted their true role and advantages. The existing problems of high energy consumption and low efficiency still plague the communication industry Rapid development...

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Problems solved by technology

[0003] Aiming at the problem of large total system energy consumption in the existing network, the present invention proposes an optimization method based on MEC-based NOMA narrowband IoT to minimize system energy consumption by optimizing computing resource allocation, user transmission power and decoding sorting

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