Energy efficient downlink massive MIMO: Is 1-bit quantization a solution ?

Alexandre Marcastel (1) , Inbar Fijalkow (1) , Lee Swindlehurst

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes

Massive MIMO aims to build wireless base stations with hundreds of coherently operating antennas serving tens of single antenna users in order to improve both the transmission capacity by a factor 10-50 and the energy-efficiency trade-off by up to a thousand times. Pre-coding at the base station has been proposed to efficiently implement digital beamforming. It implies a high signal dynamic range and therefore a power backoff resulting in less energy-efficiency. One-bit quantized Zero-Forcing precoding has been proposed to efficiently handle the RF front-end when the array is implemented with so many antennas. In this paper, we analyze the energy-efficiency of the quantized Zero-Forcing precoded systems for a large number of users and a massive MIMO base station.

Domaines: Réseaux et télécommunications [cs.NI]

Alexandre Marcastel, Inbar Fijalkow, Lee Swindlehurst. Energy efficient downlink massive MIMO: Is 1-bit quantization a solution ?. International Symposium on Wireless Communication Systems, Aug 2019, Oulu, Finland. ⟨hal-02189110⟩