Items Tagged with 'COM'

Data usage is increasing every year, and the communications industry is working diligently to support the increased demand. This article discusses why we need more data, what data center physical layer architecture changes are needed to support higher data rates, and how connector manufacturers are improving designs to support higher data rate systems.

Those interested in automating signal integrity analysis using machine learning should take a look at this work, which includes an example of a 112 Gb SerDes system analysis.

Mechanical needs and power limits are at odds with what is optimal for signal integrity. Having a metric that guides us to the sufficient SI choice rather than going for the optimal SI choice ultimately saves cost and decreases time to market. Read on for the details on Brandon Gore’s technique.

Uniform transmission lines are best suited for high-speed data transmission because of their broadband impedance characteristics. In some applications, a minor deviation from uniformity can help in optimizing other desired signal integrity metrics. This paper addresses some of the challenges involved with this approach.

We analyze the computational procedure specified for Channel Operation Margin (COM) and compare it to traditional statistical eye/BER analysis. There are a number of differences between the two approaches, ranging from how they perform channel characterization, to how they consider Tx and Rx noise and apply termination, to the differences between numerical procedures employed to convert given jitter and crosstalk responses into the vertical distribution characterizing eye diagrams and BER. We show that depending on the channel COM may potentially overestimate the effect of crosstalk and, depending on a number of factors, over- or underestimate the effect of transmit jitter, especially when the channel operates at the rate limits. We propose a modification to the COM procedure that eliminates these problems without considerable work increase.