Non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on depth deterministic strategy gradient

Abstract

The invention provides a non-orthogonal access optimal decoding sorting uplink transmission time optimization method based on the depth deterministic strategy gradient. The method comprises the following steps: (1) the optimization problem is described as a non-convex optimization problem under the condition of given decoding sorting pim; the (P1-M) problem is to find the optimal overall wirelessresource consumption under the condition of the given intelligent terminal upload (which is described in the specification), and the (P1-M) problem is observed to know that its objective function hasonly one variable; in the steps (2) and (3), the optimal uplink transmission time is searched through the deep deterministic strategy method so that there is the optimal overall wireless resource consumption; and (4) the algorithm OptOrder-Algorithm is utilized to find the optimal decoding sorting and the global minimum overall wireless resource consumption and the global optimal uplink transmission time are finally outputted through combination of the deep reinforcement learning algorithm. The system transmission efficiency can be enhanced, the higher-quality wireless network experience quality can be obtained and the optimal overall wireless resource consumption is enabled to be possible.

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 t

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