Performance analysis and power allocation of mixed-ADC multi-cell millimeter-wave massive MIMO systems with antenna selection
- 1 April 2021
- journal article
- research article
- Published by Zhejiang University Press in Frontiers of Information Technology & Electronic Engineering
- Vol. 22 (4), 571-585
- https://doi.org/10.1631/fitee.2000509
Abstract
In this study, we consider a multi-cell millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) system with a mixed analog-to-digital converter (mixed-ADC) and hybrid beamforming architecture, in which antenna selection is applied to achieve intelligent assignment of high- and low-resolution ADCs. Both exact and approximate closed-form expressions for the uplink achievable rate are derived in the case of maximum-ratio combining reception. The impacts on the achievable rate of user transmit power, number of radio frequency chains at a base station, ratio of high-resolution ADCs, number of propagation paths, and number of quantization bits are analyzed. It is shown that the user transmit power can be scaled down inversely proportional to the number of antennas at the base station. We propose an efficient power allocation scheme by solving a complementary geometric programming problem. In addition, the energy efficiency is investigated, and an optimal tradeoff between the achievable rate and power consumption is discussed. Our results will provide a useful reference for the study of mixed-ADC multi-cell mmWave massive MIMO systems with antenna selection.Keywords
This publication has 32 references indexed in Scilit:
- Asymptotic Analysis of Full-Duplex Large-Scale MIMO Systems With Low-Resolution ADCs/DACs Over Rician Fading ChannelsIEEE Systems Journal, 2020
- Antenna Selection for Large-Scale Mimo Systems with Low-Resolution AdcsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2018
- Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A SurveyIEEE Communications Surveys & Tutorials, 2017
- Millimeter Wave Receiver Efficiency: A Comprehensive Comparison of Beamforming Schemes With Low Resolution ADCsIEEE Transactions on Wireless Communications, 2017
- Resolution-Adaptive Hybrid MIMO Architectures for Millimeter Wave CommunicationsIEEE Transactions on Signal Processing, 2017
- Multi-Frequency mmWave Massive MIMO Channel Measurements and Characterization for 5G Wireless Communication SystemsIEEE Journal on Selected Areas in Communications, 2017
- An Overview of Signal Processing Techniques for Millimeter Wave MIMO SystemsIEEE Journal of Selected Topics in Signal Processing, 2016
- Millimeter Wave Channel Modeling and Cellular Capacity EvaluationIEEE Journal on Selected Areas in Communications, 2014
- Five disruptive technology directions for 5GIEEE Communications Magazine, 2014
- Low complexity precoding for large millimeter wave MIMO systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012