Per-Antenna Hardware Optimization and Mixed Resolution ADCs in Uplink Massive MIMO

被引:0
作者
Verenzuela, Daniel [1 ]
Bjornson, Emil [1 ]
Matthaiou, Michail [2 ]
机构
[1] Linkoping Univ, Dept Elect Engn ISY, Linkoping, Sweden
[2] Queens Univ Belfast, Inst Elect Commun & Informat Technol ECIT, Belfast, Antrim, North Ireland
来源
2017 FIFTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS | 2017年
基金
英国工程与自然科学研究理事会;
关键词
SYSTEMS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Massive multiple-input mutiple-output (MIMO) is a key technology for next generation wireless networks that deploys many antennas at the base stations (BSs). This requires low-complexity hardware at each antenna branch that, in turn, increases distortions. This work studies the selection of per-antenna hardware quality in terms of analog-to-digital converters (ADCs) resolution. A new achievable spectral efficiency (SE) expression is derived and majorization theory is used to analyze the order preserving properties of the SE and the power consumption with respect to the per-antenna ADC resolutions. That is, given a fixed sum of ADC resolutions across the antenna array, is it preferable to use an equal-ADC over a mixed-ADC approach? The results show that having equal-resolution ADCs across the antenna array maximizes the SE and minimizes the power consumption.
引用
收藏
页码:27 / 31
页数:5
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