Enhanced Self-Interference Cancellation Techniques for Full-Duplex MIMO Systems

Full-duplex multiple-input multiple-output (MIMO) systems offer increased spectral efficiency by enabling simultaneous transmission and reception within the same frequency band. However, self-interference poses a significant challenge that can degrade system performance. In this paper, we investigat...

Full description

Saved in:
Bibliographic Details
Published in2023 2nd International Conference on Smart Cities 4.0 pp. 84 - 88
Main Authors Mohamed, Salma, Magdy, Marwan, Shammaa, Maggie, Maher, Engy, El-Mahdy, Ahmed
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.10.2023
Subjects
Bit error rate
Channel capacity
Digital Communications
Full-Duplex Communications
Full-duplex system
Interference cancellation
MIMO Systems
Precoding
Spectral efficiency
System performance
Online AccessGet full text
DOI10.1109/SmartCities4.056956.2023.10526143

Cover

More Information
Summary:Full-duplex multiple-input multiple-output (MIMO) systems offer increased spectral efficiency by enabling simultaneous transmission and reception within the same frequency band. However, self-interference poses a significant challenge that can degrade system performance. In this paper, we investigate the use of Kalman Filter for real-time self-interference mitigation and integrating Zero Forcing (ZF) and Maximum Ratio Combining (MRC) techniques for precoding optimization. Through simulations, we evaluate the Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR). The results demonstrate the effectiveness of our proposed Kalman Filter-based self-interference cancellation and ZF/MRC precoding, leading to significant improvements in BER performance. Additionally, we compare the channel capacity of the full-duplex MIMO system with traditional half-duplex MIMO, highlighting the superiority of our approach in achieving enhanced BER performance and channel capacity.
DOI:10.1109/SmartCities4.056956.2023.10526143