Scholarlink

<p>This review examines how the design philosophy of double-balanced CMOS Gilbert cell mixers changes as technologies scale, rather than assuming that scaling alone leads to uniform performance improvement. Reported mixer implementations spanning mature 180&#xa0;nm CMOS to 22&#xa0;nm fully depleted silicon-on-insulator (FD-SOI) technologies are analyzed to identify cross-technology trends in conversion gain, noise figure (NF), linearity, and power consumption that are not apparent from node-specific or technique-focused studies. The review shows that, in advanced CMOS nodes, reduced voltage headroom, parasitic-dominated behavior, device variability, and flicker noise place practical limits on conventional mixer architectures. As a result, many of the performance gains reported in scaled technologies arise from architectural adaptation and biasing strategy rather than from transistor scaling itself. Examples include modification or removal of the transconductance stage, the use of passive or hybrid mixing approaches, and systematic <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(g_m/I_D\)</EquationSource> </InlineEquation>-based device sizing. By linking circuit-level behavior with system-level considerations such as robustness, process–voltage–temperature (PVT) sensitivity, and system-on-chip (SoC) integration, this review explains why modern mixer designs often accept reduced standalone analog performance in favor of energy efficiency, predictability, and receiver-level optimization. The resulting synthesis provides RFIC designers and system architects with a technology-aware perspective for selecting and adapting Gilbert cell mixer architectures in deeply scaled CMOS technologies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A comprehensive review and multi-parameter analysis of CMOS double-balanced Gilbert cell mixers across technology nodes from 180-22 nm

  • 期刊论文

  • 发表日期：

    2026年4月24日

查看全文
  • Richa Gupta,
  • P. Hari Krishna Prasad

摘要

This review examines how the design philosophy of double-balanced CMOS Gilbert cell mixers changes as technologies scale, rather than assuming that scaling alone leads to uniform performance improvement. Reported mixer implementations spanning mature 180 nm CMOS to 22 nm fully depleted silicon-on-insulator (FD-SOI) technologies are analyzed to identify cross-technology trends in conversion gain, noise figure (NF), linearity, and power consumption that are not apparent from node-specific or technique-focused studies. The review shows that, in advanced CMOS nodes, reduced voltage headroom, parasitic-dominated behavior, device variability, and flicker noise place practical limits on conventional mixer architectures. As a result, many of the performance gains reported in scaled technologies arise from architectural adaptation and biasing strategy rather than from transistor scaling itself. Examples include modification or removal of the transconductance stage, the use of passive or hybrid mixing approaches, and systematic \(g_m/I_D\) -based device sizing. By linking circuit-level behavior with system-level considerations such as robustness, process–voltage–temperature (PVT) sensitivity, and system-on-chip (SoC) integration, this review explains why modern mixer designs often accept reduced standalone analog performance in favor of energy efficiency, predictability, and receiver-level optimization. The resulting synthesis provides RFIC designers and system architects with a technology-aware perspective for selecting and adapting Gilbert cell mixer architectures in deeply scaled CMOS technologies.