TY - GEN
T1 - Message passing receiver for SEFDM signaling over multipath channels
AU - Mal, Yunsi
AU - Yuan, Weijie
AU - Wu, Nan
AU - Li, Yonghui
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - In this paper, we design a low-complexity factor graph based iterative receiver for spectrally efficient frequency division multiplexing (SEFDM) systems over unknown multipath channels. By factorizing the a posteriori probability of the transmitted symbols, we construct a multi-layer factor graph. Belief propagation (BP) is performed on factor graph to derive closed form message expressions with the aid of Gaussian approximations of discrete transmitted symbols. To tackle infeasible channel estimation using BP rules, we resort to the variational message passing (VMP) to obtain the channel coefficients. As a result, the overall complexity grows linearly with the number of transmitted symbols. Simulation results show that normalized mean square error (NMSE) and bit error ratio (BER) of the proposed iterative method are better than those of the typical partial channel estimation combined with successive interference cancellation (PCE-SIC) method. Compared with OFDM systems with perfect channel information, the performance loss of SEFDM systems employing the proposed iterative receiver is less than 0.7 dB for the packing factor α ≥ 0.8.
AB - In this paper, we design a low-complexity factor graph based iterative receiver for spectrally efficient frequency division multiplexing (SEFDM) systems over unknown multipath channels. By factorizing the a posteriori probability of the transmitted symbols, we construct a multi-layer factor graph. Belief propagation (BP) is performed on factor graph to derive closed form message expressions with the aid of Gaussian approximations of discrete transmitted symbols. To tackle infeasible channel estimation using BP rules, we resort to the variational message passing (VMP) to obtain the channel coefficients. As a result, the overall complexity grows linearly with the number of transmitted symbols. Simulation results show that normalized mean square error (NMSE) and bit error ratio (BER) of the proposed iterative method are better than those of the typical partial channel estimation combined with successive interference cancellation (PCE-SIC) method. Compared with OFDM systems with perfect channel information, the performance loss of SEFDM systems employing the proposed iterative receiver is less than 0.7 dB for the packing factor α ≥ 0.8.
KW - Belief propagation
KW - Channel estimation
KW - Spectrally efficient frequency division multiplexing
KW - Variational message passing
UR - http://www.scopus.com/inward/record.url?scp=85073513280&partnerID=8YFLogxK
U2 - 10.1109/VTS-APWCS.2019.8851657
DO - 10.1109/VTS-APWCS.2019.8851657
M3 - Conference contribution
AN - SCOPUS:85073513280
T3 - Proceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
BT - Proceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
Y2 - 28 August 2019 through 30 August 2019
ER -