THESIS
2018
xvi, 100 pages : illustrations ; 30 cm
Abstract
Wireline communication featuring wide bandwidth and good channel isolation has
been extensively employed in applications such as massive data centers, cloud computing, etc.
In wireline links, I/O transceiver works at the highest data rate and determines the
communication quality. Benefitting from the advancement of process technology, the highly
demanded I/O bandwidth and power efficiency have been improved dramatically over the
past decades, and the trend will continue to meet the future larger data traffic boom. While
Moore’s Law is coming to an end, the mainstream non-return-to-zero (NRZ) transceivers
meet more stringent challenges, and four-level pulse amplitude modulation (PAM4)
transceivers become popular for doubled bandwidth efficiency but with new design
challenges. In...[
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Wireline communication featuring wide bandwidth and good channel isolation has
been extensively employed in applications such as massive data centers, cloud computing, etc.
In wireline links, I/O transceiver works at the highest data rate and determines the
communication quality. Benefitting from the advancement of process technology, the highly
demanded I/O bandwidth and power efficiency have been improved dramatically over the
past decades, and the trend will continue to meet the future larger data traffic boom. While
Moore’s Law is coming to an end, the mainstream non-return-to-zero (NRZ) transceivers
meet more stringent challenges, and four-level pulse amplitude modulation (PAM4)
transceivers become popular for doubled bandwidth efficiency but with new design
challenges. In this thesis, three receivers working at ~25 Gb/s or 56 Gb/s are presented to
address these issues.
The first work is a source-synchronous low-power 1/4-rate PAM4 receiver with an
adaptive variable-gain rectifier (AVGR) based decoder in 28-nm CMOS technology. The
proposed AVGR based PAM4-to-NRZ decoder performs gain adaptation and amplitude
rectification simultaneously for decoding the least significant bit (LSB) of PAM4 input. The
linear sense amplifier (SA) in the AVGR is modified from a latch to achieve both high gain
and low power. Experimental results demonstrate that the receiver chip can achieve a BER of
10
-11 and a bit efficiency of 1.38 pJ/bit while receiving and decoding a 24-Gb/s 190-mV
pp
PAM4 signal.
The second work is a power-efficient source-synchronous NRZ receiver employing a
1/4-rate linear sampling phase detector (LSPD) with embedded feed forward equalizer (FFE)
and decision feedback equalizer (DFE). The 1/4-rate LSPD is proposed to save power and
avoid dithering jitter in a nonlinear bang-bang PD. To relax the timing constraint and improve
the jitter performance of the recovered clock, a 1-tap FFE and a 1-tap DFE are applied to both the data path and the edge path to cancel the first and second post-cursors by reusing the
linear samples. The receiver IC is fabricated in a 28-nm CMOS process and achieves error-free
operation up to 26 Gb/s with a superior bit efficiency of 0.31 pJ/bit while tolerating a 14-dB channel loss at 13 GHz.
The third work is a source-synchronous 56-Gb/s 1/4-rate PAM4 receiver based on two
previous works. Besides 1-tap FFE and 1-tap DFE, continuous time linear equalizers (CTLE)
are also included to improve the equalization ability. As PAM4 signal is more bandwidth
sensitive, the highly demanded adaptation algorithm for the CTLE is proposed based on the
data pattern selection scheme. Considering the simplicity and jitter performance, a bang-bang
PD with data transition selection is proposed. To alleviate the free running frequency shift of
the injection locked ring oscillator (ILRO) used in the first two works and not degrade noise
performance, a wide bandwidth phase lock loop (PLL) is employed. The simulation results
demonstrate that the receiver achieves a bit efficiency of 0.65 pJ/bit while compensating a
9.5-dB channel loss at 14 GHz.
Besides the CTLE adaptation used in the third work, an LMS based adaptation method
for DFE is also introduced with design details, which are barely reported before. Behavior-level
simulation results reveal the accuracy of the proposed equalization adaptation algorithms.
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