Precoder, construction method, computer equipment, medium and terminal

Abstract

The invention belongs to the technical field of wireless communication and mobile computing, and discloses a precoder, a construction method, computer equipment, a medium and a terminal.The method comprises the steps that a system model is constructed; precoder design with unequal path loss is carried out; and a precoder for secret communication constructed. The precoder provided by the invention can be regarded as an improved regularized channel inversion (RCI) and has more regularized parameters, and the parameters are obtained by path loss information of a user. The regularization parameter of the precoder is analyzed, numerical search is not needed, and the problem of RCI precoding under the condition of unequal path loss is solved. According to the precoder, the sum rate of the users is improved, the RCI precoder is expanded, and the sum rate of the users is improved under the condition that the path loss of each user is inconsistent. The encoder can also be used for secret communication. The precoder has an analytical solution, so that the complexity of solving the regularization parameter is low.

Description

technical field [0001] The invention belongs to the technical field of wireless communication and mobile computing, and in particular relates to a precoder, a construction method, computer equipment, a medium, and a terminal. Background technique [0002] Currently, a Multiple-Input Single-Output (MISO) broadcast channel represents a point-to-multipoint transmission in which a multi-antenna transmitter sends data to multiple single-antenna receivers simultaneously. Each receiver decodes data from interference generated by other users. Due to the low complexity, regularized channel inversion (RCI) precoding can be used for MISO broadcast channels. Regularization parameters that optimize the sum rate of secure communications can also be obtained when considering the situation where each user sends a confidential message and other users collectively eavesdrop on the message. The regularization parameters of RCI discussed above are all based on the assumption that user path lo...

AI Technical Summary

Problems solved by technology

[0003] Through the above analysis, the problems and defects of the existing technology are: in the existing precoding, it is assumed that the path losses of the users in each group are equal, which does not conform to the actual situation. In the actual situation, due to the random and wide distribution of users, Inconsistent path loss per user

[0004] The difficulty of solving the above problems and defects is: the traditional RCI encoder does not consider the inconsistent user path loss

The precoder proposed by other scholars in the case of inconsistent path loss has the following problems: 1: The algorithm complexity is high, the regularization parameter has no analytical solution, and numerical search is required

2: Using the gradient descent method to search can only search for a local optimal solution near the traditional RCI regularization parameters, and the gradient descent method is an iterative algorithm that requires a certain computational complexity

3: Divide users into several groups, and users in each group are assumed to have the same path loss. This method does not fundamentally solve the problem of different path losses.

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