RF VARACTOR MODELING - MOS-AKRF VARACTOR MODELING . ... MOS varactor device structure same as FET...
Transcript of RF VARACTOR MODELING - MOS-AKRF VARACTOR MODELING . ... MOS varactor device structure same as FET...
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K. Yau and A. Ito
Broadcom Corporation
December 9, 2015
RF VARACTOR MODELING
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Motivation
RF Modeling of 3D FinFET Varactors
Experimental Validation
Small-signal RF Validation
Large-signal Validation
Summary
OUTLINE
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MOS scaling resulted in 3D non-planar technologies to control short channel effects
Passive elements such as varactors are non-planar
An accurate RF model for 3D varactors is needed to enable RF and high-speed digital designs
MOTIVATION
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RF 3D MOS VARACTOR MODEL
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MOS varactor device structure same as FET
Except NMOS in NWELL or PMOS in PWELL
Varactor is a 3D device
Multiple FINs to increase capacitance density/area
FIN geometry (𝒉, 𝒕) are fixed process parameters
3D MOS Varactor
X-section
N-well
Gate Well contact
Gate
Oxide
P-sub
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3D MOSVAR MODELING METHODOLOGY
Leverage CMC standard MOSVAR model
Surface potential based approach
VA code can be downloaded: https://www.si2.org/cmc_index.php
Built into most SPICE simulators
Well known parameter extraction methods
Sub-circuit elements to model parasitics
Rg: gate resistance
Rcont: well contact resistance
Dnw: n-well to p-sub diode
Rsub, Csub: substrate network
Ig: gate leakage current
MOSVAR
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Adapt MOSVAR for planar devices to 3D geometry
Most parameters retain original meaning
W replaced by effective W of “flatted” device
MOSVAR MODEL FOR 3D VARACTORS
MOSAVAR 3D Varactor
𝑇𝑂𝑋 𝑇𝑂𝑋𝑒𝑓𝑓
𝜖𝑜𝑥 𝜖𝑆𝑖𝑂2
𝐿𝑔 𝐿𝑔
𝑤𝑒𝑓𝑓,𝑓 = 𝑁𝐹𝐼𝑁 × 2ℎ + 𝑡
𝑊 𝑊𝑡𝑜𝑡𝑎𝑙 = 𝑁𝐹 × 𝑤𝑒𝑓𝑓,𝑓
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1. Calculate capacitance from measured S-parameters
2. Set TOX to the effective TOX of the semiconductor process
3. Extract CFRL, CFRW, DLQ, DWQ from capacitance data of different geometry, with 𝑾 =𝑾𝒕𝒐𝒕𝒂𝒍[1]
4. Determine NSUB and VFB from 𝑪 𝑽 characteristics from accumulation to depletion
PARAMETER EXTRACTION FLOW
𝑪 = −𝟏
𝝎ℑ
𝟏
𝒚𝟏𝟐
−𝟏
[1] Z. Zhu et. al. “Improved Parameter Extraction Procedure for PSP-Based MOS Varactor Model,” IEEE ICMTS 2009
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5. Extract resistive parasitics
PARAMETER EXTRACTION METHODOLOGY
𝑅𝑔 = ℜ ℎ11 = 𝑅𝑔𝑐𝑜𝑛𝑡 +1
3
𝑊𝑜𝑑
𝐿𝑅𝑔𝑠ℎ 𝑅𝑠𝑑𝑐𝑜𝑛 = ℜ
1
𝑦22=𝑅𝑣𝑖𝑎𝑁𝑣𝑖𝑎
+ 𝑅𝑠𝑑𝑐𝑜𝑛′ /𝑊𝑡𝑜𝑡𝑎𝑙
𝑊𝑜𝑑
𝑅𝑔𝑐𝑜𝑛𝑡
𝑅𝑠𝑑𝑐𝑜𝑛𝑡
Non-scalable portion Width-scalable portion Slightly different scaling characteristics
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6. Extract UAC and RSHS from quality factor in accumulation mode and depletion mode
7. Add n-well to p-sub diode and substrate network
8. Add gate leakage current, 𝑰𝒈𝒂𝒕𝒆
PARAMETER EXTRACTION METHODOLOGY
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SMALL SIGNAL VALIDATION
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C(V) CHARACTERISTICS
Fixed L = 72 nm Fixed NFIN = 10
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DERIVATIVE OF C(V)
L = 240 nm L = 72 nm
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QUALITY FACTOR
L = 240 nm L = 72 nm
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LARGE SIGNAL VALIDATION
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Model is extracted from small-signal C(V) data
Varactors are often used in large-signal conditions, e.g., VCO tank circuit
Leeson’s phase noise formula
WHY LARGE SIGNAL VALIDATION
𝐿 Δ𝜔 = 10 log2𝐹𝑘𝑇
𝑃𝑠𝑖𝑔1 +
𝜔0
2𝑄Δ𝜔
2
1 +
Δ𝜔 1𝑓3
Δ𝜔
Need to validate model under large-signal conditions
Measure and compare time-domain 𝑣 𝑡 and 𝑖 𝑡
~kHz range, 𝑣 𝑡 and 𝑖(𝑡) can be directly measured
~GHz range, 𝑣 𝑡 and 𝑖 𝑡 reconstructed from measured X-parameters via harmonic balance simulations
Model card is extracted from small-signal data
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LARGE SIGNAL VALIDATION
Amplitude 0.8V / 1.6 Vpp
Frequency 500 kHz
L 0.24 µm
𝑽𝒈𝒃 (dc) 0 V
Amplitude 0.6V / 1.2 Vpp
Frequency 500 kHz
L 0.24 µm
𝑽𝒈𝒃 (dc) 0 V
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LARGE SIGNAL VALIDATION
Amplitude 0.5V / 1 Vpp
Frequency 500 kHz
L 0.24 µm
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LARGE SIGNAL VALIDATION
Amplitude 0.5V / 1 Vpp
Frequency 500 kHz
L 0.24 µm
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LARGE SIGNAL VALIDATION
Amplitude 0.355 V / 0.71 Vpp
Frequency 1 GHz
𝑽𝒈𝒃 (dc) 0 V
Amplitude 1.122 V / 2.244Vpp
Frequency 1 GHz
𝑽𝒈𝒃 (dc) 0 V
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CMC standard MOSVAR model adapted to model 3D FinFET varactors
VA code: https://www.si2.org/cmc_index.php
Defined a new effective finger width of 3D device as 𝒘𝒆𝒇𝒇,𝒇 = 𝑵𝑭𝑰𝑵 × 𝟐𝒉 + 𝒕 , where 𝒉
and 𝒕 are FIN height and thickness, respectively
Model is scalable and extracted from small-signal S-parameter data.
Good matching RF characteristics including Q is observed up to 70 GHz for different geometry
Using the same small-signal model, the large-signal behavior can be simulated accurately.
SUMMARY