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Channel information feedback algorithm under FDD large-scale MIMO-OFDM system

A MIMO-OFDM, channel information feedback technology, applied in transmission systems, radio transmission systems, diversity/multi-antenna systems, etc. CSI obsolete, guaranteed accuracy effect

Active Publication Date: 2017-12-15
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, CSI feedback needs to occupy certain uplink resources. As the number of base station antennas increases, the uplink feedback resources occupied will increase accordingly.
In addition, due to the time delay difference between the CSI feedback and the CSI application when the base station sends downlink, the outdated CSI will greatly reduce the system capacity

Method used

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  • Channel information feedback algorithm under FDD large-scale MIMO-OFDM system

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specific Embodiment approach

[0046] Assume that in the massive MIMO-OFDM system, the channel is a flat fading channel, and the base station is configured with N tAntennas, transmit data to K single-antenna users simultaneously on N subcarriers. with X T Denotes the conjugate transpose of matrix X, X H Represents the complex conjugate transpose of matrix X. x -1 Represents the inverse of matrix X. [] i Represents the i-th element of the vector, and diag() represents a diagonal matrix. Specific implementation method: combined figure 1 Describe this embodiment, the steps of this embodiment are as follows:

[0047] Step 1: At the receiving end, use classical channel estimation algorithms (such as LS, MMSE, etc.) to perform frequency-domain channel estimation to obtain frequency-domain CSI information H, expressed as:

[0048] H={H[0],..,H[N t -1]}, (1)

[0049] in Indicates the antenna n t Corresponding to the frequency domain channel on N subcarriers, means N t The root antenna corresponds to...

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Abstract

The invention discloses a channel compression and channel prediction algorithm based on the time domain sparsity of the channel and the Kalman channel prediction model under the FDD large-scale MIMO-OFDM system in the field of 5G communication, solving the problem that the large MIMO-OFDM channel state information (CSI) feedback is too large and the fed back CSI is outdated. According to the invention, when the user equipment (UE) receiving end receives the fed back CSI, the CSI is not fed back directly; instead, the CSI is performed CSI sparse transformation by means of the inverse fast Fourier transform (IFFT); and then the compressed CSI is formed according to the time domain sparsity taps of the channel, therefore, the CSI is compressed to a lower dimension matrix, and the feedback is reduced. Meanwhile, the predicted CSI is obtained through the Kalman filter theory by means of the compressed CSI, therefore, the prediction complexity is reduced, and the problem that the fed back CSI is outdated is overcome.

Description

technical field [0001] The invention belongs to the field of 5G communication, and in particular relates to a channel information feedback algorithm based on channel time-domain sparsity and Kalman channel prediction model under FDD large-scale MIMO-OFDM system. Background technique [0002] In recent years, with the rapid popularization of wireless communication terminals such as smartphones and the increase in processing traffic, how to increase the capacity of wireless communication systems has attracted great attention. 5G is the next generation of high-speed mobile communication technology, and massive MIMO-OFDM is one of the key technologies to realize 5G. Large-scale multi-antenna is a communication system with multiple inputs and multiple outputs. In the system, the number of antennas of the base station is much higher than that of the terminal, which brings a series of advantages in the entire 5G system: Compared with the traditional MIMO-OFDM system, The spatial r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/06H04B7/0417H04B17/391
CPCH04B7/0417H04B7/0626H04B17/3913
Inventor 王丹叶颂基周佳余永坤李小文陈发堂王华华刘宇
Owner CHONGQING UNIV OF POSTS & TELECOMM
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