A Fully Open-source Implementation of an Analog 8-PAM Demapper for High-speed Communications

This paper presents a fully open-source design and simulation of an energy-efficient analog 8-PAM demapper implemented in IHP SG13G2 SiGe BiCMOS technology using MOSFETs, achieving 0.33 pJ/bit at 1 Gbit/s.

Mohamed Aiham Hemza, Alex Alvarado, Krzysztof Herman, Piyush Kaul

Published 2026-03-06
📖 4 min read☕ Coffee break read

Imagine you are trying to send a secret message to a friend across a noisy room. In the modern world, we don't just shout "Yes" or "No"; we use complex codes where different volumes and tones represent different letters. This is how high-speed internet works: it packs a lot of data into a single signal.

However, there's a problem. When your friend (the receiver) hears the signal, it's often fuzzy because of the background noise. To decode the message, they usually have to:

  1. Listen to the fuzzy sound.
  2. Stop and think (convert the sound into digital numbers).
  3. Do complex math on a computer chip to guess what the original message was.

This "stop and think" process (using digital computers) is slow and eats up a lot of battery power. As our internet speeds get faster, these digital chips are getting too hot and using too much energy.

The Big Idea: "Thinking" While Listening

The authors of this paper asked a simple question: What if the receiver could guess the message while it's still a sound wave, without ever turning it into digital numbers first?

They built a tiny, analog "translator" (called a Demapper) that works like a human ear trying to guess words in a noisy room, but done with microscopic electronic parts.

The Recipe: 8 Flavors of Ice Cream

To make this concrete, imagine the signal isn't just "loud" or "soft." Imagine it's an ice cream machine that can dispense 8 different flavors (from very mild to very strong).

  • In a digital system, the machine would taste the ice cream, write down "Flavor #5," and then a computer would calculate the message.
  • In this new Analog system, the machine has a special set of levers. Depending on how strong the flavor is, the levers automatically push out a specific "confidence score" (a voltage) that says, "I'm pretty sure this is Flavor #5, but maybe it's #4."

The paper focuses on a system with 8 levels (8-PAM), which is like having 8 distinct steps on a ladder.

The Two Competitors: The Heavyweight vs. The Sprinter

The researchers tried two different ways to build this analog translator:

  1. The "BJT" Design (The Old School Heavyweight):

    • This uses older technology (like a heavy, reliable weightlifter).
    • Pros: It's very accurate. It guesses the flavor correctly almost every time.
    • Cons: It's slow. When the flavor changes quickly, this weightlifter gets "stuck" for a moment (a technical issue called saturation) before it can lift the next weight. It's like a heavy truck taking a long time to stop and start again.
  2. The "MOSFET" Design (The New Sprinter):

    • This uses modern, lighter technology (like a sprinter).
    • Pros: It is incredibly fast. It can switch flavors instantly without getting stuck. It uses very little energy.
    • Cons: It's slightly less accurate than the heavyweight. It might guess "Flavor #4" when it's actually "Flavor #5" a tiny bit more often.

The Surprise: Even though the Sprinter (MOSFET) is slightly less accurate at guessing, it is so much faster and efficient that it wins the race for high-speed internet. It can handle 1 billion bits of data per second while using almost no energy (0.33 pJ/bit). That's like running a marathon while sipping a single drop of water.

Why This Matters: The "Open Source" Revolution

Perhaps the most exciting part of this paper isn't just the speed, but how they built it.

  • Usually, designing these tiny chips is like trying to build a car using a secret, expensive blueprint that only a few big companies own.
  • The authors used fully open-source tools. They used free software and public blueprints (like a "Linux for chips") to design and simulate this circuit.
  • The Analogy: Imagine if anyone could design a Ferrari engine using free software and open blueprints, and then prove it works just as well as the expensive ones. This democratizes technology, allowing universities and small startups to innovate without needing millions of dollars in licenses.

The Bottom Line

This paper is a proof-of-concept showing that we can build super-fast, ultra-low-power internet receivers that skip the slow "digital thinking" step. By using a clever analog design (the Sprinter) and open-source tools, they've shown a path toward faster, greener communication systems that don't overheat our devices.

In short: They taught the receiver to "guess while listening" using a fast, lightweight, and free-to-build design, paving the way for the next generation of super-fast internet.