A non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on deep deterministic policy gradient

A transmission time and deterministic technology, applied in the field of communication, can solve problems such as excessive uplink transmission time, long uplink transmission time, and large energy consumption of smart terminals, and achieve high-quality wireless network experience quality, optimal wireless resource consumption, and improved system The effect of transmission efficiency

Active Publication Date: 2021-08-03
ZHEJIANG UNIV OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the disadvantages of long uplink transmission time and large energy consumption of smart terminals in the prior art, the present invention provides a non-orthogonal handover based on depth deterministic policy gradient that minimizes uplink transmission time and total energy consumption of all smart terminals Into the optimal decoding and sorting uplink transmission time optimization method, the present invention aims at the difficulty of too long uplink transmission time, mainly considers the use of non-orthogonal access technology to transmit data, and studies a non-orthogonal access technology based on depth deterministic policy gradient Optimal Decoding Sorting Uplink Transmission Time Optimization Method for Handover and Access

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on deep deterministic policy gradient
  • A non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on deep deterministic policy gradient
  • A non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on deep deterministic policy gradient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0073] refer to figure 1 , figure 2 , image 3 and Figure 4 , a non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on deep deterministic policy gradients, the implementation of this method can make the uplink transmission time and all intelligent terminals under the condition of ensuring that the data of all intelligent terminals are sent at the same time The total energy consumption is minimized, and the wireless network experience quality of the entire system is improved. The present invention is applied to wireless networks, such as figure 1 in the scene shown. Designing an optimization method for this problem includes the following steps:

[0074] (1) There is a total of 1 smart terminal under the coverage of the access hotspot, and the smart terminal uses a set means, that is, given a set of intell...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on deep deterministic policy gradient, including the following steps: (1) in a given decoding sorting π m Under the condition of , the optimization problem is described as a non-convex optimization problem; the (P1‑m) problem is to find the optimal overall wireless resource consumption in the case of a given intelligent terminal upload volume, and the observation (P1‑m) problem knows its The objective function has only one variable; (2) and (3) use the deep deterministic strategy method to find the optimal uplink transmission time, so that there is an optimal overall wireless resource consumption; (4) use the algorithm OptOrder-Algorithm to find the optimal Decoding and sorting, combined with a deep reinforcement learning algorithm, finally outputs the global minimum overall wireless resource consumption and the global optimal uplink transmission time. The present invention improves system transmission efficiency, obtains better wireless network experience quality, and enables optimal overall wireless resource consumption.

Description

technical field [0001] The invention belongs to the communication field, and relates to a non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on deep deterministic strategy gradient. Background technique [0002] Large-scale connectivity adapted to Internet of Things (IoT) applications has been regarded as an important goal of future 5G cellular systems. Non-orthogonal Multiple Access (NOMA) enables a group of smart terminals (Smart Terminal, ST) to simultaneously share the same spectrum channel for transmission, providing an effective way to achieve the goal of spectrum-efficient data transmission. Methods. We consider uplink transmission in a wireless network, where a smart terminal (e.g. a smart watch) sends its data to an access hotspot using NOMA technology. We aim to minimize the overall radio resource consumption, including uplink transmission time and total uplink transmission energy. Contents of the invention [000...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H04W52/02H04W52/18H04W16/14
CPCH04W16/14H04W52/0209H04W52/0219H04W52/18Y02D30/70
Inventor 吴远张成倪克杰石佳俊钱丽萍黄亮
Owner ZHEJIANG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products