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Retransmitting linear precoding processing method for multi-input multi-output system

A technology of linear precoding and processing method, which is applied in the field of linear precoding technology and automatic request retransmission technology, and can solve problems such as inability to achieve optimality

Inactive Publication Date: 2011-02-23
UNIV OF SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For a MIMO system that supports multi-codeword transmission, since each codeword can independently perform adaptive modulation and coding, the protection capability required by each codeword is related to the selected adaptive modulation and coding level, so the above two This retransmission precoding processing method cannot be optimal when applied to a MIMO system supporting multi-codeword transmission

Method used

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  • Retransmitting linear precoding processing method for multi-input multi-output system
  • Retransmitting linear precoding processing method for multi-input multi-output system
  • Retransmitting linear precoding processing method for multi-input multi-output system

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Embodiment 1

[0052] In this embodiment, the Turbo codec structure in the eighth edition of the Long Term Evolution (LTE) technical standard of the Third Generation Communication Technology Cooperation Project (3GPP) is used, and the five adaptive modulation and coding (MCS) levels introduced are as shown in Table 1. shown in three columns. The data lengths after the rate matching of these five MCS levels are all 4008 bits. In this embodiment, at first, the bit error rate performance curves of various MCS levels are simulated under the Gaussian channel scenario, and according to the bit error rate model formula (1) ,Right now

[0053] f i ( SINR ) = 1 if 0 SINR γ th i ...

Embodiment 2

[0090] The codec structure used in this embodiment is the same as that in Embodiment 1, and the five adaptive modulation and coding levels used and fitting parameters are the same as those in Embodiment 1, as shown in Table 1. The difference from Embodiment 1 is that the adaptive modulation and coding levels used by the two codewords supported in this embodiment are MCS5 and MCS1 in Table 1 respectively, and the fitting parameter of the first codeword is a 1 =4.1937*10 11 , g 1 =0.7371, The parameter of the second codeword fitting is a 2 =9.9771*10 26 , g 2 = 43.009, Other processes are the same as those in Example 1.

[0091] figure 2 Both codewords use adaptive modulation and coding levels MCS5 and MCS1 respectively. In the case of ideal channel information, the retransmission linear precoding processing method and the traditional retransmission linear precoding processing of the MIMO system of the present invention after one retransmission The packet error rate p...

Embodiment 3

[0094] The codec structure used in this embodiment is the same as that in Embodiment 1, and the five adaptive modulation and coding levels used and fitting parameters are the same as those in Embodiment 1, as shown in Table 1.

[0095] In this embodiment, the antenna configuration of the MIMO system is M T =2, the number of antennas at the receiving end M R = 2, the system supports the transmission of two codewords, that is, The adaptive modulation and coding levels used by the two codewords are MCS5 and MCS1 in Table 1; the channel for each transmission of the data packet is an independent and identically distributed Rayleigh channel with a mean value of 0 and a variance of 1, and the channel information is ideal and not ideal , there is a channel estimation error, and the error matrix element variance Suppose the packet is retransmitted once.

[0096] During the initial transmission of data packets, the MIMO system retransmission linear precoding processing method of th...

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Abstract

The invention discloses a retransmitting linear precoding processing method for a multi-input multi-output system. The method is characterized by comprising the following steps of: distributing power to sub-channels of which the signal to interference and noise ratio is smaller than a decoding threshold against each sub-channel pairing matrix in the multi-codon supported MIMO system retransmission precoding processing process; performing power distribution on residual power according to a target of minimizing the packet error rate to calculate the minimum packet error rate relative to the sub-channel pairing matrix; and traversing all sub-channel pairing matrixes, selecting the sub-channel pairing matrix corresponding to the minimum value in the minimum packet error rate as an optimal sub-channel pairing matrix, and distributing power to each sub-channel according to the optimal sub-channel pairing matrix. By adopting the method, the packet error rate lower than that of the traditional method can be achieved by reasonably pairing sub-channels and distributing power according to the adaptive modulation coding level selected by each codon.

Description

technical field [0001] The invention belongs to the technical field of multiple-input multiple-output (MIMO) mobile communication, and in particular relates to automatic repeat request (ARQ) technology and linear precoding technology in the MIMO communication system. Background technique [0002] Multiple Input Multiple Output (MIMO) technology can generate space diversity and multiplexing gain, and is an important technology adopted in the fourth generation mobile communication system. Linear precoding technology is an important means to realize the advantages of MIMO technology. The design of traditional linear precoding is mostly based on the single transmission of data packets. However, in the automatic retransmission request (ARQ) mechanism commonly used in modern communication systems, an erroneous data packet will be retransmitted many times. Therefore, the design of linear precoding when data packets are retransmitted is an important issue. [0003] "International ...

Claims

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Application Information

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IPC IPC(8): H04L1/18H04B7/06H04L1/00H04L25/02
Inventor 张正宇邱玲
Owner UNIV OF SCI & TECH OF CHINA
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