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A factor graph approach to digital self-interference mitigation in OFDM full-duplex systems
- Source :
- IEEE Signal Processing Letters, IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, 24 (3), pp.344-348. ⟨10.1109/LSP.2017.2662799⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- Digital self-interference cancellation is a major challenge for orthogonal frequency division multiplexing full-duplex transmissions. Therefore, reliable estimation of both the signal-of-interest and the self-interference channel, becomes the limiting factor in a mobile radio context. In this letter, improved estimation of the time-varying channels is obtained by solving the problem jointly with self-interference cancellation and decoding using a factor graph approach. Taking advantage of the per-subcarrier structure of message-passing, a low-complexity receiver is obtained. Our semianalytical and numerical results show the superiority of the proposed scheme over state-of-the art self-interference cancellation methods under limited pilot overhead.
- Subjects :
- Mobile radio
Orthogonal frequency division multiplexing (OFDM)
Computer science
Orthogonal frequency-division multiplexing
Real-time computing
Duplex (telecommunications)
Context (language use)
02 engineering and technology
Data_CODINGANDINFORMATIONTHEORY
0203 mechanical engineering
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Full-duplex (FD)
Overhead (computing)
Electrical and Electronic Engineering
Computer Science::Information Theory
Self-interference mitigation
Applied Mathematics
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
020302 automobile design & engineering
020206 networking & telecommunications
Joint channel estimation and decoding
Frequency domain
Signal Processing
Message-passing receiver
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Factor graph
Decoding methods
Communication channel
Subjects
Details
- Language :
- English
- ISSN :
- 10709908
- Database :
- OpenAIRE
- Journal :
- IEEE Signal Processing Letters, IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, 24 (3), pp.344-348. ⟨10.1109/LSP.2017.2662799⟩
- Accession number :
- edsair.doi.dedup.....dba9c93fac8cd5576adaee092b217ac6
- Full Text :
- https://doi.org/10.1109/LSP.2017.2662799⟩