A Design Method of Precoding Matrix Based on RS Code

Abstract

The invention discloses a pre-coding matrix design method based on an RS code, and aims at the non-orthogonal transmission of a small data package. The method is characterized in that the method comprises the following steps that 1, a receiving end generates N different initial phases of the RS code; 2, the receiving end enables the N different initial phases to be distributed to N transmitting ends; 3, each user generates his own RS code word by himself according to the initial phase distributed by the receiving end; 4, each user completes the mapping from the RS code word to a pre-coding matrix, and completes the normalization processing of energy of each column of the matrix. The method can improve the recovery accuracy of a signal, and also can reduce the implementation complexity of a small data package non-orthogonal transmission method, which comprises the pre-coding calculation complexity of the transmitting ends, the signal recovery complexity of the receiving end, and the distribution and storage complexity of the pre-coding matrix. Therefore, the method can facilitate the practical application of the small data package non-orthogonal transmission method.

Description

technical field [0001] The invention belongs to the field of non-orthogonal transmission method design for wireless communication small data packet service user access and small packet data, and specifically relates to a precoding matrix design method based on RS codes. Background technique [0002] With the rapid popularization of smart terminals such as smartphones and tablets, the number of users of the small packet service has increased rapidly. Correspondingly, the small packet data generated in the communication network is also increasing rapidly. Typical small packet businesses include instant messaging services such as Tencent QQ, and social networking platforms such as Facebook. It can be said that a typical feature of business data generated by smart terminals is that the data is in small packets. The small packet service, as the name implies, means that the data packets generated by the service are very short; basically, the length of the small data packet is sh...

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Problems solved by technology

[0005] 1) The signal recovery performance cannot be achieved very high, and there is still room for improvement;

[0006] 2) The implementation complexity of the method is not considered: the randomly generated dense precoding matrix first makes the precoding calculation complexity of the sender very high; secondly, under the ICBOMP recovery algorithm, the randomly generated precoding matrix has a high recovery complexity; Then, when the receiving end allocates the precoding matrix, the overhead is also very large, because a matrix must be transmitted to each sending end; finally, the overhead of storing these precoding matrices is also very large

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