Method and device for quantization feedback of channel information and data precoding
A channel information and precoding technology, applied in the field of communication, can solve the problem of lack of consideration of polarization leakage in the feedback model
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Embodiment 1
[0154] The base station transmits the channel measurement pilot. Taking Nt transmitting antennas as an example, there are Nt / 2 antennas respectively in two mutually perpendicular polarization directions. The base station sends a set of CSI-RS pilots with a total of Nt ports. The terminal receives the pilot configuration information sent by the base station, and detects at the corresponding resource position, so as to obtain the information of the channel matrix H of dimension Nr×Nt. Here, Nr is the number of receiving antennas.
[0155] The terminal and the base station may agree in advance to use the following function to represent the eigenvector information or precoding information of the channel matrix.
[0156] Feature vector or optimal precoding W = F(CMatrix1, CMatrix2, θ, κ);
[0157] The expression of this function is as follows:
[0158] F(CMatrix1, CMatrix2, θ, κ) = CMatrix1+e jθ *f(κ)*CMatrix2, where f(κ) is a function whose independent variable is κ.
[0159]...
Embodiment 2
[0187] The base station transmits the channel measurement pilot. Taking Nt transmitting antennas as an example, there are Nt / 2 antennas respectively in two mutually perpendicular polarization directions. The base station sends a set of CSI-RS pilots with a total of Nt ports. The terminal obtains the pilot configuration information sent by the base station, and performs detection on the corresponding resource position to obtain the information of the Nr×Nt-dimensional channel matrix H. Here, Nr is the number of receiving antennas.
[0188] The terminal and the base station agree in advance to use the following functions to represent the eigenvector information or precoding information of the channel matrix.
[0189] Feature vector / best precoding W=F(CMatrix1,CMatrix2,θ,κ);
[0190] The expression of this function is as follows:
[0191] F(CMatrix1, CMatrix2, θ, κ) = CMatrix1+e jθ *f(κ)*CMatrix2, where f(κ) is a function whose independent variable is κ.
[0192] In a prefer...
Embodiment 3
[0219] For the above preferred embodiment 1 and preferred embodiment 2, the phase θ can be a preset fixed value, for example: θ can take a value of 0, then e jθ =1; or, the phase θ may be a value pre-configured by the base station to the terminal.
[0220] The function F(CMatrix1,CMatrix2,θ,κ) is actually simplified to F(CMatrix1,CMatrix2,κ);
[0221] For the above-mentioned preferred embodiment 1 and preferred embodiment 2, the ratio κ may be a value pre-configured by a base station to a terminal. The function F(CMatrix1,CMatrix2,θ,κ) actually reduces to F(CMatrix1,CMatrix2,θ).
[0222] For the above situation, the terminal may consider the phase θ and / or the ratio κ as a known variable when selecting other optimal parameters, without calculation and feedback.
[0223] The function F(CMatrix1, CMatrix2, θ, κ) can actually be simplified to:
[0224] F(CMatrix1, CMatrix2, κ), F(CMatrix1, CMatrix2, θ), or F(CMatrix1, CMatrix2).
[0225] When the base station calculates and o...
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