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An optimized power allocation method for mimo and ofdm communication systems

A technology for optimizing power and distribution methods, applied in the field of communication, can solve the problem of unconsidered model power distribution, affecting channel error correction coding performance and other problems, and achieve the effect of compensating for performance deterioration, enhancing error correction performance, and improving efficiency and reliability.

Active Publication Date: 2022-08-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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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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  • An optimized power allocation method for mimo and ofdm communication systems
  • An optimized power allocation method for mimo and ofdm communication systems
  • An optimized power allocation method 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 the degree distributions of its rows and columns 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] where d v =6,d c =7;

[0035] Step 2. Perform BPSK modulation on the encoded 1024 symbols;

[0036] Step 3. The time-frequency space dimension of the selected frame format is n respectively t =n f =16,n s =4, according to the channel state information sent by the receiver, the channel information array H is extended by linear interpolation 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 precoding matrices are obtained. Channel power gain, there are 4 channel power gains in eac...

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Abstract

The invention belongs to the field of communication technologies, and in particular relates to an optimized adaptive power distribution method based on irregular LDPC code transmission in MIMO and OFDM communication systems. In this method, under the condition that the average power of each transmit antenna of the MIMO system remains unchanged, the channel conditions estimated by the channel state information are used, and the corresponding precoding scheme is used to calculate the optimal power allocation value through theoretical calculation. The allocation value adjusts the transmit power of the LDPC-coded and modulated symbols, so as to optimize the error correction performance of the LDPC code under this transmission model, thereby improving transmission efficiency and increasing transmission reliability.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to an optimized adaptive power distribution method based on irregular LDPC code transmission in MIMO and OFDM communication systems. Background technique [0002] 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-studied confirmed that LDPC codes have performance approaching the Shannon limit (D.J.C.MacKay and R.M.Neal.Near Shannon limit performance 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 theoretical performance analysis and optimal construction of LDPC codes can be carried out by using density evolution theory (T.J.Richardson, R.L.Urbank. Efficient e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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 ELECTRONICS SCI & TECH OF CHINA
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