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<https://discovery.ucl.ac.uk/id/eprint/10085351> <http://purl.org/dc/terms/title> "Task-Based Quantization for Massive MIMO Channel Estimation"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10085351> <http://purl.org/ontology/bibo/abstract> "Massive multiple-input multiple-output (MIMO) systems are\r\nthe focus of increasing research attention. In such setups, there is an\r\nurgent need to utilize simple low-resolution quantizers, due to power\r\nand memory constraints. In this work we study massive MIMO channel\r\nestimation with quantized measurements, when the quantization system\r\nis designed to minimize the channel estimation error, as opposed to\r\nthe quantization distortion. We first consider vector quantization, and\r\ncharacterize the minimal error achievable. Next, we focus on practical\r\nsystems utilizing scalar uniform quantizers, and design the analog\r\nand digital processing as well as the quantization dynamic range to\r\noptimize the channel estimation accuracy. Our results demonstrate that\r\nthe resulting massive MIMO system which utilizes low-resolution scalar\r\nquantizers can approach the minimal estimation error dictated by ratedistortion theory, achievable using vector quantizers."^^<http://www.w3.org/2001/XMLSchema#string> .
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