Part 4: Near-Field, XL-MIMO, and Hardware-Aware Design
Chapter 19: Low-Resolution and Mixed-ADC Architectures
Research~270 min
Learning Objectives
- Explain why ADC power dominates massive-MIMO receiver energy and formulate the ADC-power-vs-resolution budget
- Derive the 1-bit quantizer input-output map and the arcsine-law SNR characterization
- State the low-SNR capacity loss of the 1-bit receiver (, or about 1.96 dB) and contrast with the infinite-precision baseline
- Apply the Bussgang decomposition to linearize a memoryless quantizer as and compute the effective SINR
- Analyze mixed-ADC receivers that combine a few high-resolution chains with many 1-bit chains
- Pose optimal bit allocation across antennas as a constrained convex program and solve it with water-filling over antenna gains
- Compute bits-per-joule energy efficiency and identify the SNR regime where 1-bit beats 4-bit and vice versa
- Choose a constellation (PSK vs QAM) that is matched to 1-bit-ADC reception
Sections
Prerequisites
Uplink detection: MRC, ZF, MMSE linear receivers (MIMO Ch. 9)Massive MIMO achievable rates: UatF bound, rate scaling (MIMO Ch. 4)Channel models: Rayleigh and spatially correlated (MIMO Ch. 2)Gaussian signaling and capacity formulas (Book ITA Ch. 13–14)Detection and hypothesis testing basics (Book FSI Ch. 2)Nonlinear systems and Gaussian input-output: Bussgang's theorem (Book FSP)
💬 Discussion
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