# Stream-Adaptive Quantization and Power Allocation in Fronthaul-Constrained MIMO Systems

arXiv: https://arxiv.org/abs/2604.11471 · HTML: https://mlsanity.com/paper/2604.11471/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Apr 2026.

## Built on by (most cited first, 1 of 1)

- [Joint Quantized Precoding and Bit Allocation for Fronthaul-Constrained Cell-Free Massive MIMO](https://mlsanity.com/paper/2609.26149/) (2026)

## Abstract (arXiv)

Many wireless systems divide the baseband processing between two locations, interconnected by a fronthaul. This paper examines the impact of fronthaul quantization on multiple-input multiple-output (MIMO) systems. Starting from a Bussgang-based analysis of quantized single-input single-output (SISO) channels, we extend the framework to MIMO and derive a capacity lower bound under fronthaul quantization, where the receive combining is performed before the quantization. To maximize the sum rate, we propose a joint bit and power allocation (JBP-Alloc) scheme that efficiently distributes fronthaul bits and transmit power across active data streams. Asymptotic analysis shows that uniform bit allocation becomes optimal at high SNR. Numerical results confirm that JBP-Alloc outperforms uniform allocation and quantization-unaware water-filling, and achieves the same performance as Greedy bit allocation but with substantially lower computational complexity.