System and methodology for estimating channel response at user devices utilizing next-generation mobile communication technologies (5G, 5G Enhanced, and 6G) ​​using artificial intelligence.

Abstract

The invention proposes a system and method for estimating channel response at user devices utilizing next-generation mobile communication technologies (5G, 5G-enhanced, and 6G) ​​using artificial intelligence. The proposed system comprises six blocks: signal reception and FFT transformation of the data stream to an IQ signal; DMRS extraction and raw LS channel response estimation; preprocessing block for constructing a multidimensional input tensor; shared base neural network block; multitask separation block; and post-processing and decoding support block. Meanwhile, the AI-powered channel response estimation method is performed through the following steps: Step 1: Collecting and digitizing the radio signal; Step 2: Decomposing the reference symbol and calculating the raw channel response; Step 3: Synthesizing and formatting the input data (tendering); Step 4: Extracting and merging spatial-temporal-frequency features; Step 5: Parallel multi-task inference (channel, delay, Doppler).The channel estimation system and method proposed in this invention can be used universally for all three PBCH, PDCCH, and PDSCH channels for 5G / 5G-enhanced-to-6G devices, including 5G IoT devices.

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