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Optimized power distribution method suitable for MIMO and OFDM communication systems

A technology for optimizing power and allocation methods, applied in the field of communication, can solve problems that affect channel error correction coding performance and model power allocation problems are not considered, and achieve the effects of enhancing error correction performance, compensating for performance deterioration, and improving efficiency and reliability

Active Publication Date: 2022-02-15
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the gradual complexity and flexibility of modern mobile communication protocols represented by cellular mobile communication, in order to adapt to more complex application scenarios, the distribution of channel coding and MIMO precoding is required to be more diversified, which will cause different Differential effects of noise experienced by parallel data streams can severely impact the performance of channel error correction coding
However, the traditional power optimization method does not consider the power allocation problem of this model, so it is necessary to design an effective optimal power allocation method suitable for this model

Method used

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  • Optimized power distribution method suitable for MIMO and OFDM communication systems
  • Optimized power distribution method suitable for MIMO and OFDM communication systems
  • Optimized power distribution method suitable for MIMO and OFDM communication systems

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Embodiment 1

[0030] Originally, the data sending and receiving process based on the present invention specifically includes:

[0031] Step 1. Select an LDPC code with a code length of 1024, and its row and column degree distributions are respectively

[0032] λ(x)=0.45x+0.337x2 +0.213x 5

[0033] ρ(x)=0.511x 4 +0.431x 5 +0.058x 6

[0034] Among them, d v = 6, d c = 7;

[0035] Step 2. carry out BPSK modulation to 1024 symbols after encoding;

[0036] Step 3. The time-frequency and space-time dimensions of the selected frame format are n respectively t =n f =16,n s =4, expand the channel information array H through linear interpolation according to the channel state information sent by the receiver m , for each group of time-frequency signals, the precoding method of Singular Value Decomposition (SVD) is used to obtain the corresponding precoding matrix W, a total of 256 precoding matrices, and the 256 groups of precoding matrices are obtained Channel power gain, there are 4 ch...

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Abstract

The invention belongs to the technical field of communication, and particularly relates to an optimized adaptive power distribution method based on irregular LDPC code transmission in MIMO and OFDM communication systems. According to the method, under the condition that the average power of each transmitting antenna of the MIMO system is kept unchanged, an optimized power distribution value is calculated theoretically by using a channel condition obtained by estimating channel state information and cooperating with a corresponding precoding scheme, and the transmitting power of a symbol subjected to LDPC coding and modulation is adjusted by using the power distribution value, therefore, the error correction performance of the LDPC code under the transmission model is optimized, so that the transmission efficiency is improved, and the transmission reliability is improved.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to an optimal self-adaptive power allocation method when transmitting based on irregular LDPC codes in MIMO and OFDM communication systems. Background technique [0002] Low-density parity-check codes (Low-density parity-check codes, LDPC) is a linear block code, proposed by R.Gallager in 1962 (R.Gallager.Low-density parity-check codes[J].IRETransactions on Information Theory, 1962, 8(1):21-28). In 2001, Mackay et al. re-researched and confirmed that LDPC codes have the performance of approaching the Shannon limit (D.J.C.MacKay and R.M.Neal.Near Shannon limitperformance of low density parity check codes[J].IEE Electron.Lett.,1997,33(6): 457-458.). Subsequently, it attracted the attention of a large number of researchers. Among them, T.J.Richardson proposed that the LDPC code can be theoretically analyzed and optimized using the density evolution theory (T.J.Richardson, R.L.Urb...

Claims

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Application Information

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IPC IPC(8): H04L5/00H04L1/00H04B7/0426H04B7/0456
CPCH04L5/0007H04L5/0023H04L5/006H04L1/0061H04B7/0426H04B7/0456Y02D30/70
Inventor 林灯生陈文楷邹亚梅
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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