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An adaptive link training based hybrid circuit topology for full‐duplex on‐chip interconnects.

Authors :
Govindaswamy, Prema Kumar
Kammari, Raviteja
Pasupureddi, Vijaya Sankara Rao
Source :
International Journal of Circuit Theory & Applications. Aug2023, Vol. 51 Issue 8, p3637-3651. 15p.
Publication Year :
2023

Abstract

Summary: This work proposes a link training based half‐rate dynamic current‐steering echo‐cancellation hybrid circuit topology for full‐duplex signaling that performs echo cancellation by deploying a bit error detection unit and backchannel adaptation. In addition, this work proposes a power‐efficient half‐rate dynamic current‐steering logic hybrid circuit for full‐duplex signaling over on‐chip interconnects for simultaneous transmission and reception. The half‐rate dynamic current‐steering hybrid circuit topology has low static power consumption compared with traditional current‐mode circuit topology implementations, thanks to the discrete nature of the current‐steering hybrid topology. The proposed scheme is implemented in 1.2 V, 65‐nm complementary metal‐oxide semiconductor (CMOS). The performance results show that the link training scheme sets the control bits for both the transmitter driver and hybrid circuit topology when the backchannel adaptation loop gets locked for 1‐ and 3‐mm interconnects for process, voltage, and temperature (PVT) variations. The proposed hybrid circuit topology is able to receive the required far‐end transmitted data with the link training scheme and has the differential recovered received signal voltage swing of 1.2 V for both 1‐ and 3‐mm interconnect at the 10‐Gb/s data rate. The total power consumption of the hybrid is 3 and 3.5 mW for 1‐ and 3‐mm interconnect with an energy efficiency of 0.6 and 0.7 pJ/bit, respectively, at 10‐Gb/s full‐duplex operation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00989886
Volume :
51
Issue :
8
Database :
Academic Search Index
Journal :
International Journal of Circuit Theory & Applications
Publication Type :
Academic Journal
Accession number :
169828474
Full Text :
https://doi.org/10.1002/cta.3616