4 results about "Distributed source coding" patented technology

A system and method for implementing a distributed source coding quantization scheme is provided. In one example, two independent but statistically correlated data sources can be asymmetrically compressed so that one source is compressed at a higher ratio than the other. The resulting signals are transmitted and decoded by a receiver. The highly compressed source can utilize the non-highly compressed source as side information so as to minimize the compression loss associated with the higher compression ratio. A conditional codebook can be created that not only depends on the highly compressed quantizer, but also depends on the quantized symbol received from the non-highly compressed data source.

Systems and methods of employing distributed source coding in power-domain and / or code-domain uplink NOMA schemes are provided. In the provided systems and methods, the scheduling and the parameters of a joint source-channel coding and multiple access framework may be jointly optimized.

The present invention relates to a hybrid distributed source coding, decoding method and system, and particularly relates to the technical field of communication data transmission. The decoding method includes: decoding the extracted subsequence codewords of the source sequence to be decoded to obtain a reconstructed extracted subsequence; using a bilateral symmetric Context model to obtain the conditional distribution of each symbol in the unextracted subsequence according to the reconstructed extracted subsequence and the side information sequence of the source sequence to be decoded; decoding according to the conditional distribution of each symbol in the unextracted subsequence and the syndromes of the unextracted subsequence of the source sequence to be decoded to obtain a reconstructed unextracted subsequence; and combining the reconstructed extracted subsequence and the reconstructed unextracted subsequence to obtain the source sequence to be decoded. The key point of the present invention is to further improve the compression performance by using the correlation between adjacent symbols within the source sequence in a distributed source coding scheme based on a channel code.

The application discloses a multi-base station cooperative communication optimization method based on reinforcement learning and belongs to the technical field of wireless communication processing; through 7-2 layer function segmentation, beamforming is sunk to a remote unit, and local beamforming weight is calculated by using global precoding auxiliary information fed back by a central unit at a previous moment, so that high-dimensional antenna signals are reduced to low-dimensional user data streams; a joint quantizer based on Wyner-Ziv distributed source coding is adopted, spatial correlation between data streams of different remote units is used for compression, and a compression codebook and a global precoding matrix are jointly designed, so that mutual information between a quantization noise covariance matrix and a user interference channel is minimized; a multi-user channel matrix is reconstructed based on compressed data streams, and a reinforcement learning intelligent agent is introduced, an adaptive cooperative precoding strategy is output through intelligent decision-making, and differential pulse code modulation and adaptive quantization are adopted to efficiently feed back the global precoding matrix.