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

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...

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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

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