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Updated: Sep 29, 2025

Quasi-light Storage for Optical Data Packets
Published on: February 6, 2014
Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet
Bao Quoc Vuong1,2,3, Roland Gautier1, Hien Quang Ta2,3
1Univ Brest, CNRS, Lab-STICC, CS 93837, 6 Avenue Le Gorgeu, CEDEX 3, 29238 Brest, France.
This study introduces a semi-blind algorithm for 5G Full-Duplex (FD) transmissions to cancel self-interference and estimate channels. The method uses few pilot symbols, improving performance and reducing complexity for future wireless systems.
Area of Science:
- Wireless Communications
- Signal Processing
- Information Theory
Background:
- Full-Duplex (FD) transmissions enable simultaneous data transmission and reception, enhancing spectral efficiency.
- Short-packet transmissions are crucial for low-latency applications like 5G and IoT, but pose challenges for channel estimation.
- Self-interference cancellation and accurate channel estimation are critical for FD system performance.
Purpose of the Study:
- To develop a joint semi-blind algorithm for self-interference cancellation and channel estimation in 5G QC-LDPC encoded short-packet FD transmissions.
- To address the challenges of channel estimation in short-packet transmissions by minimizing pilot symbol overhead.
- To evaluate the performance, processing time, and computational complexity of the proposed algorithm.
Main Methods:
- A joint semi-blind iterative algorithm was proposed, integrating a minimal number of pilot symbols (at least four) with the information sequence.
- The algorithm utilizes a feedback loop for channel estimation, accounting for the characteristics of short-packet transmissions.
- Performance was evaluated based on Mean-Squared Error (MSE) and Bit Error Rate (BER).
Main Results:
- The proposed semi-blind algorithm achieved near-optimal performance in 5G FD transmissions.
- Significant reductions in processing time and computational complexity were observed compared to existing methods.
- Improvements in Mean-Squared Error (MSE) and Bit Error Rate (BER) were demonstrated.
Conclusions:
- The joint semi-blind iterative algorithm offers an efficient solution for self-interference cancellation and channel estimation in 5G and Beyond FD systems.
- The algorithm shows significant potential for practical IoT transmission scenarios requiring low latency and high reliability.
- This approach effectively balances performance, complexity, and overhead for short-packet FD communications.
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