To address the high energy consumption in massive multiple-input multiple-output (MIMO) systems, this letter proposes a two-stage quantization framework that jointly optimizes analog-to-digital converter (ADC) bit allocation (BA) and baseband bitwidth assignment. By leveraging the fact that ADC resolutions can be dynamically reconfigured whereas baseband bitwidths are typically fixed at design time, the joint problem is decoupled. The ADC BA is determined via theoretical energy efficiency (EE) and bit error rate (BER) analysis, enabling real-time adaptation, while the baseband bitwidths are optimized via a simulated annealing (SA) based search. Simulation results show that with less than 0.5 dB signal-to-noise ratio degradation, the proposed method are able to reduce the average baseband bitwidth by 47.77% compared with unified quantization, and improves EE by 13.4% over uniform BA.
Massive multiple-input multiple-output (MIMO) achieves a high spectral efficiency (SE) by employing a large number of receive antennas in the uplink. Employing many receive antennas requires a large number of analog-to-digital converters (ADCs) and a high fronthaul data rate. Low-resolution ADCs can reduce power consum...
Bengu Bilgic Keskin, A. O. Kislal, Ali Gorcin et al.· 0 citations
Multiple-input multiple-output (MIMO) is a key technology in modern wireless networks, but its performance is often analyzed under ideal hardware assumptions. In practical implementations, however, quantization appears throughout the signal-processing chain, including channel state information (CSI) feedback, fronthaul...
Yasaman Khorsandmanesh, Parisa Ramezani, Emil Björnson· 0 citations
Partially connected hybrid analog-digital beamforming architectures substantially reduce the hardware cost and power dissipation of massive antenna arrays by routing multiple antenna elements to a single radio-frequency (RF) chain. In contested or dense electromagnetic environments, however, strong directional interfer...
Da-Hai Ni, Chao-Lin Zeng, Hong-Bo Yin et al.· Italian National Conference...· 0 citations
This work investigates a multi-irregular reconfigurable intelligent surfaces (IRIS)-assisted cell-free massive multiple-input multiple-output system under practical hardware constraints. Specifically, we consider low-resolution analog-to-digital converters /digital-to-analog converters, discrete phaseshifts, spatial co...
K. Patel, S. Banik, Ekant Sharma et al.· IEEE International Symposium...· 0 citations
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