Skip to main content

Successive Interference Cancellation (SIC)


Successive Interference Cancellation (SIC)

Ah, I see your point now more clearly. You're asking a crucial question: How can a device subtract the strong signal from the received signal if it doesn't know what the strong signal is?

This is the essence of Successive Interference Cancellation (SIC), and I’ll explain in detail how this actually works in practice:

The Key Idea Behind SIC

In SIC, the process of subtracting the strong signal to improve the weak signal relies on the fact that the receiver already knows the strong signal once it has decoded it. The confusion usually comes from the fact that it sounds like the receiver is magically subtracting something it doesn't know. Here's how it works:

Step-by-Step Breakdown of SIC

1. Superposed Transmission

Both users transmit their signals simultaneously, and the received signal at the receiver is the sum of both signals, as well as noise.

Received Signal = h1 * Signal1 + h2 * Signal2 + Noise
        

Here, h1 and h2 are the channel coefficients for each user, and the signals Signal1 and Signal2 are the transmitted signals from Users 1 and 2, respectively.

2. Decode the Strongest Signal First

  • The receiver first decodes the strongest signal (typically the user with the higher signal power or better channel conditions).
  • The receiver does this by applying an appropriate demodulation technique (like QPSK) to extract the data from the strongest signal. It knows the modulation scheme and can identify the transmitted symbols.
  • After decoding the strongest signal, the receiver now knows what that signal is. Importantly, this is where the receiver gains knowledge of the strong signal.

3. Subtract the Strong Signal

Once the strong signal has been decoded, it is subtracted from the received signal to eliminate its contribution as interference. This process effectively removes the strong signal from the received mixture.

Received Signal for User 2 (after SIC) = Received Signal - h1 * Decoded Signal1
        
  • The strong signal (Decoded Signal1) is multiplied by the channel coefficient h1 and then subtracted.
  • This leaves only the signal of the weak user, along with noise, for further decoding.

4. Decode the Weak Signal

  • With the interference from the strong user subtracted, the receiver now attempts to decode the weak user's signal.
  • Since the strong signal is no longer present, the weak signal can be decoded with much less interference.

5. Iterative Process (More Than Two Users)

  • If there are more than two users, the same process is repeated: decode the strongest signal, subtract it, and then decode the next strongest signal. This is why it is called Successive Interference Cancellation.

How the Receiver "Knows" the Strong Signal

  • The receiver does not need to know the strong signal in advance. It only needs to know it after it decodes it.
  • Using the modulation scheme, the receiver extracts symbols and reconstructs the transmitted signal.
  • The process of demodulation and decoding provides all the information needed for subtraction.

Key Assumptions for SIC to Work

  • Channel Knowledge: The receiver must know the channel coefficients via pilot symbols or feedback.
  • Perfect Decoding: Errors in decoding the strong signal lead to imperfect cancellation.
  • Known Modulation Scheme: Required to correctly demodulate and reconstruct the signal.
  • Sufficient SNR: The strongest signal must have high enough SNR for reliable decoding.

Example Scenario

  • User 1 has a much stronger signal than User 2.
  • The receiver decodes User 1’s signal first.
  • The decoded signal is subtracted from the received mixture.
  • User 2’s signal is then decoded with reduced interference.

Without SIC

Without SIC, the strong signal is treated as noise, leading to a higher symbol error rate (SER) for the weak user.

Summary

  • The receiver does not know the strong signal beforehand.
  • It decodes the strongest signal first and then subtracts it.
  • This enables clean decoding of weaker signals.

This is the core of how SIC works. Accurate decoding followed by subtraction allows weak signals to be recovered with much less interference.


Further Reading



Contact Us

Name

Email *

Message *

Popular Posts

MATLAB Code for Constellation Diagram of QAM configurations such as 4, 8, 16, 32, 64, 128, and 256-QAM

📘 Overview of QAM 🧮 4-QAM MATLAB 🧮 16-QAM MATLAB 🚀 Online Simulator 📂 Other Topics on Constellation Diagrams... ▼ 🧮 MATLAB Code for 4-QAM 🧮 MATLAB Code for 16-QAM 🧮 MATLAB Code for m-ary QAM 🧮 Simulator for m-ary PSK 🧮 Simulator for m-ary QAM 🧮 Overview of Energy per Bit (Eb / N0) 🧮 Simulator for ASK, FSK, and PSK Overview of QAM One of the best-performing modulation techniques is QAM [↗] . Here, we modulate the symbols by varying the carrier signal's amplitude and phase in response to the variation in the message signal (or voltage variation). So, we may say that QAM is a combination of phase and amplitude modulation. Additionally, it performs better than ASK or PSK [↗] . In fact, any constellation for any type of modulatio...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Download Papers and Solutions Exam Pattern Preparation Tips FAQs More Home / Engineering & Other Exams / UGC NET 2026 PYQ 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2026 - Question Paper Download PDF June 202...

GMSK BER vs SNR (with Simulation)

  GMSK Performance: Why the BER vs. SNR Curve Matters If you’ve ever wondered why GMSK (Gaussian Minimum Shift Keying) became the backbone of the global GSM revolution, the answer lies in its unique balance of spectral efficiency and power performance. But there is no free lunch in engineering. To get that sleek, narrow spectrum, you have to pay a price in Bit Error Rate (BER) . In this guide, we break down the theoretical BER vs. SNR performance of GMSK, the "magic" of the BT product, and how to optimize your link budget for real-world conditions. What is GMSK and Why Should You Care? GMSK is a derivative of MSK (Minimum Shift Keying) that uses a Gaussian pre-modulation filter. This filter "smooths" the phase transitions, significantly reducing sideband power. The result? A constant envelope signal that allows you to use high-efficiency Class-C amplifiers without distorting the signal. This is the secr...

Flat vs Frequency Selective Online Simulator

Flat vs Frequency Selective Online Simulator Channel Type Without Fading Flat Fading Multipaths Nakagami m SNR(dB) Run Simulation Input Signal Signal After Fading Constellation Diagram BER vs SNR Explore Advanced Flat vs Frequency-Selective Fading Simulator Want to see these equations in action? Visualize it. Launch Simulator Tool Flat Fading and Frequency-Selective Fading Effects of Multipath Components and the Nakagami-m Parameter 1. Flat Fading Flat fading occurs when the signal bandwidth is smaller than the channel's coherence bandwidth, meaning that all frequency components of the transmitted signal experience approximately the same fading. It is typically associated with narrowband signals, where the multipath delay spread is small relative to the symbol duration. ...

Orthogonal Time Frequency Space (OTFS) (with MATLAB)

In OTFS (Orthogonal Time Frequency Space) modulation — a scheme designed for high-Doppler and time-varying wireless channels — the terms ISFFT and SFFT are key mathematical transformations used to move between different representation domains. Figure: OTFS block diagram 1. ISFFT — Inverse Symplectic Finite Fourier Transform Purpose: Transforms data symbols from the delay-Doppler domain to the time-frequency domain . \[ X[n, m] = \frac{1}{\sqrt{NM}} \sum_{k=0}^{N-1} \sum_{l=0}^{M-1} x[k, l] \, e^{j2\pi \left( \frac{nk}{N} - \frac{ml}{M} \right)} \] Here, \( N \) is the number of Doppler bins (time slots), and \( M \) is the number of delay bins (subcarriers). The ISFFT maps each data symbol from the delay-Doppler grid (where the channel is sparse and easier to equalize) to the time-frequency grid (where standard multicarrier modulation like OFDM can be applied). 2. SFFT — Symplectic Finite Fourier Transform Purpose: Performs the reverse operation ...

Random Variable vs. Random Process: Definitions, Examples, and Key Differences

Random Variable vs. Random Process: Definitions, Examples, and Key Differences Random Variable and Random Process In the fields of probability theory and statistics, understanding the distinction between a Random Variable and a Random Process (Stochastic Process) is fundamental. This guide breaks down these concepts with mathematical precision and practical examples. 1. Random Variable (RV) Definition: A Random Variable is a deterministic function that maps each possible outcome of a random experiment to a unique real number. Mathematical Representation A random variable X is defined as a mapping from the sample space S to the set of real numbers ℝ : X : S → ℝ S (Sample Space): The set of all possible outcomes of an experiment. s ∈ S: A specific outcome. X(s): The numerical value asso...

Design of CMOS XOR/XNOR Gates

Design of CMOS XOR/XNOR Gates The semiconductor industry has experienced rapid integration of multimedia applications into mobile electronics, leading to very high integration density in CMOS VLSI. As operating frequencies increase, power consumption, speed, silicon area, and reliability become critical considerations. The XOR-XNOR circuits are fundamental building blocks in arithmetic circuits (Full Adders, Multipliers), compressors, comparators, parity checkers, code converters, error-detecting/correcting codes, and phase detectors. Their performance directly impacts the complex circuits they are used in. Design goals include full output voltage swing, low power consumption, reduced transistor count, minimal delay, and simultaneous non-skewed outputs. Static Logic (Static CMOS) Stat...