TL;DR
This paper explores the uplink performance of wideband massive MU-MIMO-OFDM systems with coarse quantization, proposing new algorithms that achieve near-infinite precision performance with minimal complexity increase.
Contribution
It introduces novel algorithms for quantized MAP channel estimation and data detection in wideband MU-MIMO-OFDM systems, addressing a less studied practical scenario.
Findings
Coarse quantization (4-6 bits) causes negligible performance loss.
Proposed algorithms effectively handle frequency-selective channels.
Performance approaches infinite-precision systems without added complexity.
Abstract
Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings. Coarse quantization also enables significant reductions of the raw analog-to-digital converter (ADC) data that must be transferred from a spatially-separated antenna array to the baseband processing unit. The theoretical limits as well as practical transceiver algorithms for such quantized MU-MIMO systems operating over frequency-flat, narrowband channels have been studied extensively. However, the practically relevant scenario where such communication systems operate over frequency-selective, wideband channels is less well understood. This paper investigates the uplink performance of a quantized massive MU-MIMO system that deploys orthogonal frequency-division multiplexing (OFDM) for wideband communication. We…
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