Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality

Nguyen, Kien-Giang; Vu, Quang-Doanh; Tran, Le-Nam; Juntti, Markku

doi:10.1109/icassp40776.2020.9052945

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…However, the separate design of the ADC quantization bit allocation and hybrid beamforming matrices tends to suffer from performance degradation. Hence, the authors of [30] jointly optimized both the on/off modes of the RF processing chains and the number of ADC quantization bits.…”

Section: A Related Workmentioning

confidence: 99%

Channel Estimation for Hybrid Massive MIMO Systems With Adaptive-Resolution ADCs

Wang

Chen

Champagne

et al. 2022

IEEE Trans. Commun.

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Achieving high channel estimation accuracy and reducing hardware cost as well as power dissipation constitute substantial challenges in the design of massive multiple-input multiple-output (MIMO) systems. To resolve these difficulties, sophisticated pilot designs have been conceived for the family of energy-efficient hybrid analog-digital (HAD) beamforming architecture relying on adaptive-resolution analog-to-digital converters (RADCs). In this paper, we jointly optimize the pilot sequences, the number of RADC quantization bits and the hybrid receiver combiner in the uplink of multiuser massive MIMO systems. We solve the associated mean square error (MSE) minimization problem of channel estimation in the context of correlated Rayleigh fading channels subject to practical constraints. The associated mixed-integer problem is quite challenging due to the nonconvex nature of the objective function and of the constraints. By relying on advanced fractional programming (FP) techniques, we first recast the original problem into a more tractable yet equivalent form, which allows the decoupling of the fractional objective function. We then conceive a pair of novel algorithms for solving the resultant problems for codebookbased and codebook-free pilot schemes, respectively. To reduce the design complexity, we also propose a simplified algorithm for the codebook-based pilot scheme. Our simulation results confirm the superiority of the proposed algorithms over the relevant stateof-the-art benchmark schemes.

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Section: A Related Workmentioning

confidence: 99%

Channel Estimation for Hybrid Massive MIMO Systems With Adaptive-Resolution ADCs

Wang

Chen

Champagne

et al. 2022

IEEE Trans. Commun.

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“…The flexible ADC bit-allocation (BA) mechanism with optional constraint bits, namely MMSQE-BA [14], is proposed and produces superior performance than that of a fixed-ADC configuration. With the objective of maximizing EE at the BS, the design of resolution-adaptive ADC bit-allocation is presented for uplink multiuser largescale MIMO systems in [15]. A hybrid beamforming architecture consisting of less number of RF chains with the coordinate update algorithm (CUA) based variableresolution ADCs [16] is explored for mmWave massive multiuser MIMO uplink systems.…”

Section: A Related Work and Motivationsmentioning

confidence: 99%

“…Motivated by the constraint function in (15), this paper proposed a new ADC allocation algorithm based on the distinct constraint in the optimization problem. The total ADCs from all RF chains are adopted to be the constraint function.…”

Section: B Sum-resolution Adcmentioning

confidence: 99%

Dynamic ADC Resolution-Mapping for Millimeter-Wave Massive MIMO Systems

Lin

2021

IEEE Access

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The radio-frequency (RF) chains, phase shifters (PSs), and analog-to-digital converters (ADCs) play the dominant role of power consumption in the uplink hybrid millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) networks. To mitigate power consumption, an energyefficient switch and inverter (SI) based partially-connected (PC) architecture with the Gram-Schmidt (GS) antenna selection strategy is addressed. The design of a variable-resolution ADC configuration is addressed under an independent upper bound of power consumption for each ADC in this paper. However, the resulting ADC resolution mapping becomes more complicated due to variant ADC power bounds. A simple ADC bit-allocation algorithm, namely, the sum-resolution (SR) ADC, is proposed.By replacing the total power constraint on ADCs to improve both the achievable sum-rate (ASR) and energy efficiency (EE) performance of the hybrid mmWave massive MIMO system. The SR-ADC solutions in closed form reveal that the optimal ADC resolution is proportional to the square power of the signal-to-noise ratio (SNR) in RF chains. Simulation results demonstrate that the proposed SR-ADC approach offers enhanced improvements on the ASR and EE, and exhibits prominent advantages on the number of activated RF chains compared with the fixed total power system.

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Design of Different High-Speed Data Converters using Verilog

Aruna

Sekhar

2022

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)

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Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality

Cited by 4 publications

References 20 publications

Channel Estimation for Hybrid Massive MIMO Systems With Adaptive-Resolution ADCs

Channel Estimation for Hybrid Massive MIMO Systems With Adaptive-Resolution ADCs

Dynamic ADC Resolution-Mapping for Millimeter-Wave Massive MIMO Systems

Design of Different High-Speed Data Converters using Verilog

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