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2 results about "Distributed source coding" patented technology

Distributed source coding (DSC) is an important problem in information theory and communication. DSC problems regard the compression of multiple correlated information sources that do not communicate with each other. By modeling the correlation between multiple sources at the decoder side together with channel codes, DSC is able to shift the computational complexity from encoder side to decoder side, therefore provide appropriate frameworks for applications with complexity-constrained sender, such as sensor networks and video/multimedia compression (see distributed video coding). One of the main properties of distributed source coding is that the computational burden in encoders is shifted to the joint decoder.

Methods and apparatus for correlated multiuser coding

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.
Owner:HUAWEI TECH CO LTD

Multi-base station cooperative communication optimization method based on reinforcement learning

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.
Owner:TIANYUAN RUIXIN COMM TECH CO LTD