An Optimal Low-Complexity Energy-Efficient ADC Bit Allocation for Massive MIMO
arXiv:2104.05186 · doi:10.1109/TGCN.2020.3039282
Abstract
Fixed low-resolution Analog to Digital Converters (ADC) help reduce the power consumption in millimeter-wave Massive Multiple-Input Multiple-Output (Ma-MIMO) receivers operating at large bandwidths. However, they do not guarantee optimal Energy Efficiency (EE). It has been shown that adopting variable-resolution (VR) ADCs in Ma-MIMO receivers can improve performance with Mean Squared Error (MSE) and throughput while providing better EE. In this paper, we present an optimal energy-efficient bit allocation (BA) algorithm for Ma-MIMO receivers equipped with VR ADCs under a power constraint. We derive an expression for EE as a function of the Cramer-Rao Lower Bound on the MSE of the received, combined, and quantized signal. An optimal BA condition is derived by maximizing EE under a power constraint. We show that the optimal BA thus obtained is exactly the same as that obtained using the brute-force BA with a significant reduction in computational complexity. We also study the EE performance and computational complexity of a heuristic algorithm that yields a near-optimal solution.
arXiv commentarXiv admin note: text overlap with arXiv:1902.03375
References in corpus (11)
- Spatially Sparse Precoding in Millimeter Wave MIMO Systems
- An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
- Millimeter Wave Wireless Communications: New Results for Rural Connectivity
- 5G Wireless Backhaul Networks: Challenges and Research Advance
- MmWave Massive MIMO Based Wireless Backhaul for 5G Ultra-Dense Network
- Capacity Analysis of One-Bit Quantized MIMO Systems with Transmitter Channel State Information
- Throughput Analysis of Massive MIMO Uplink with Low-Resolution ADCs
- Uplink Achievable Rate for Massive MIMO with Low-Resolution ADC
- Low Power Analog-to-Digital Conversion in Millimeter Wave Systems: Impact of Resolution and Bandwidth on Performance
- Resolution-Adaptive Hybrid MIMO Architectures for Millimeter Wave Communications
- Energy Efficient ADC Bit Allocation and Hybrid Combining for Millimeter Wave MIMO Systems