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D2D distributed cooperative computing method for minimizing system computing energy consumption

A technology of distributed collaboration and computing methods, applied in the direction of reducing energy consumption, machine-to-machine/machine-type communication services, advanced technology, etc., to achieve the effect of saving system computing energy consumption, solving the shortage of user computing resources, and increasing the number of tasks

Active Publication Date: 2021-09-17
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] Aiming at the multi-user collaborative computing problem in the off-network scenario, the present invention aims at minimizing the energy consumption of system computing, and proposes a distributed DCC scheme, namely A D2D distributed collaborative computing method that minimizes system computing energy consumption, which solves problems such as user computing mode selection, offload decision optimization, offload task calculation optimization, and offload transmission power optimization in D2D systems

Method used

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  • D2D distributed cooperative computing method for minimizing system computing energy consumption
  • D2D distributed cooperative computing method for minimizing system computing energy consumption
  • D2D distributed cooperative computing method for minimizing system computing energy consumption

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Embodiment 1

[0029] Such as figure 1 As shown, a D2D distributed collaborative computing method that minimizes system computing energy consumption includes the following steps:

[0030] S1: Build a D2D communication network system model, including several RUEs and several HUEs that can establish cooperation with them;

[0031] S2: Construct a computing model based on the network system model to obtain distributed collaborative computing optimization problems;

[0032] S3: Using the method of step-by-step processing, the distributed collaborative computing optimization problem is divided into two stages of collaborative optimization and unloading decision-making to solve, and the distributed collaborative computing process is completed;

[0033] Wherein: in the cooperative optimization stage, for each possible RUE-HUE cooperative D2D user pair, solve the problem of offloading calculation optimization and offloading transmission power optimization, and form a set of candidate HUEs for each ...

Embodiment 2

[0138] In order to more fully illustrate the beneficial effects of the present invention, the effectiveness and advancement of the present invention will be further described below in conjunction with specific embodiments and related simulation results and analysis.

[0139] Some typical parameter values ​​are selected for system simulation, as shown in Table 3. Unless otherwise specified, all the simulation results below adopt the parameters in Table 3.

[0140] Table 3: System simulation parameter settings

[0141] parameter parameter value Number of RUE users, R [2, 16] Number of HUE users, H [2, 16] Path loss factor, α 3.68 Channel bandwidth, B 180kHz Task Processing Density, C 500 CPU clock cycles / bit Energy consumption coefficient, ε 1e-26 RUE r computing power, f r

[0142] Without loss of generality, this scheme assumes that the HUE and RUE in the system are randomly and uniformly distributed in a square area w...

comparative approach 1

[0143] Comparison scheme 1: Offloading Decision Optimization based Distributed D2D Cooperative Computation (ODO-DD2D-CC) scheme. This solution, that is, the ECM-DD2D-CC solution proposed by the present invention does not consider the simplified solution of offload transmission power optimization, but only considers the offload decision of the RUE user and the optimization of the offload calculation amount.

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Abstract

The invention provides a D2D distributed cooperative computing method for minimizing system computing energy consumption, which comprises the following steps: constructing a D2D communication network system model which comprises a plurality of pieces of RUE and a plurality of pieces of HUE capable of establishing cooperation with the RUE; constructing a calculation model based on the network system model, and obtaining a distributed cooperative calculation optimization problem; adopting a step-by-step processing method, splitting a distributed cooperative computing optimization problem into two stages of cooperative optimization and unloading decision making to be solved, and completing a distributed cooperative computing process. The invention provides the D2D distributed cooperative computing method for minimizing system computing energy consumption, so as to solve the problems of shortage of user computing resources and lack of concentrated nodes in an off-network scene. Compared with an existing scheme, the method can give full play to the advantages of D2D cooperative calculation, improves the number of tasks successfully completed on time in the system, and saves the calculation energy consumption of the system.

Description

technical field [0001] The present invention is oriented to the field of mobile communication, and aims at a communication system based on Device-to-Device (D2D) technology, and proposes a D2D distributed collaborative computing method that minimizes system computing energy consumption. Background technique [0002] With the emergence of multimedia applications with high resource requirements such as real-time online games, high-definition movies and video conferencing, new challenges have been brought to the computing power and battery capacity of devices [1] Y.Mao, C.You, J. Zhang, K. Huang, and K.B. Letaief, “A survey on mobile edge computing: the communication perspective,” IEEE Communications Surveys & Tutorials, vol.19, no.4, pp.2322-2358, Fourthquarter 2017. Mobile Edge Computing (Mobile Edge Computing, MEC) technology enables users to offload computing tasks to nearby wireless network edge servers, which has the advantages of reducing computing delay and energy consu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/70H04W28/02H04W72/04H04W52/02
CPCH04W4/70H04W28/0221H04W72/0473H04W52/0219Y02D30/70
Inventor 江明黄晓婧
Owner SUN YAT SEN UNIV
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