Paper on High Dynamic Range mmWave Massive MU-MIMO with Householder Reflections now available online!

All-digital massive multiuser (MU) multiple-input multiple-output (MIMO) at millimeter-wave (mmWave) frequencies is a promising technology for next-generation wireless systems. Low-resolution analog-to-digital converters (ADCs) can be utilized to reduce the power consumption of all-digital basestation (BS) designs. However, simultaneously transmitting user equipments (UEs) with vastly different BS-side receive powers either drown weak UEs in quantization noise or saturate the ADCs.

In order to address this issue, we propose high dynamic range (HDR) MIMO, a new paradigm that enables simultaneous reception of strong and weak UEs with low-resolution ADCs. HDR MIMO combines an adaptive analog spatial transform with digital equalization: The spatial transform focuses strong UE signals onto a subset of ADCs which reduces quantization and saturation artifacts; digital equalization is then used for data detection. We demonstrate the efficacy of HDR MIMO in a massive MU-MIMO mmWave scenario that uses Householder reflections as spatial transform.

The paper has been co-authored by Victoria Palhares, Gian Marti, Oscar Castañeda, and Christoph Studer and will be presented at the 2023 Asilomar Conference on Signals, Systems, and Computers in Pacific Grove in October 2023. A preprint of the paper is available on external page arXiv.