Mon, 9 May, 15:00 - 15:45 UTC
In this demo, we present task-based quantization hardware built for providing an accurate signal estimate in a multi-user wireless communication setting. Specifically, the transmitted signals from multi-users are recovered at the receiver by applying the developed task-based low-bit quantization board.
Quantization plays a critical role in digital signal processing systems, allowing the representation of a continuous-amplitude signal using a finite number of bits. However, for high-dimensional input signals such as those in multi-user MIMO systems, accurately representing these signals requires a large number of quantization bits, causing severe cost, power consumption, and memory burden. To address this challenge, we recently proposed a task-based quantization approach that guarantees the recovery of high-dimensional signals from a low-bit representation by accounting for the underlying task in the design of the quantizer [1]. A tailored analog precoder is designed to properly pre-process the signal prior to quantization allowing to dramatically reduce the number of bits while still allowing for signal recovery.
In this demo, we design a configurable quantization hardware, consisting of an analog combiner to reduce the input dimensionality and scalar quantizers with dynamically adjustable quantization bits. The developed hardware platform is then applied to multi-user signal recovery. Our demonstration platform consists of a 16x2 analog combiner and a configurable quantizer, including 2, 3, 4 & 12 bits quantization. Using a dedicated GUI, our demo will show that the nearly optimal performance of multi-user signal recovery can be achieved with a low-bit quantizer by accounting for the task.
[1] N. Shlezinger, Y. C. Eldar, and M. R. Rodrigues, “Hardware-limited task-based quantization,” IEEE Trans. Signal Process., vol. 67, no. 20, pp. 5223–5238, 2019