Research on Interference Suppression in
 Generalized Frequency Division Multiplex System

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  •  College of Electronic and Optical Engineering, Nankai University, Tianjin 300350, China; Tianjin
     Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin 300350, China

Online published: 2017-09-20

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Abstract

 The disturbances such as: ICI(Inter Carrier Interference), OOBE(Out of Band Emission), etc. in GFDM(Generalized Frequency Division Multiplex) multicarrier modulation communication system may degrade system performance, and timefrequency dualselective fading will worsen this issue. A channel estimation algorithm is introduced to lower the system’s interferences and computational complexity, by optimizing the prototype filter parameters according to disturb signal energy. Precode and equilibrium are also chosen to suppress ICI, OOBE, and interference from other users or antennas. A simulation model by Matlab is set up, BER curves and constellation diagrams have been worked out to evaluate the system performances. The simulation result indicates that GFDM with those corrective actions may get a lower BER level.

Cite this article

WU Hong,LIU Bing,ZHAO Yingxin,WANG Chong,ZHANG Yuting TANG Ran,MA Xiaoxu,XU Xiyan,MU Weiwei,LIU Zhiyang .  Research on Interference Suppression in
 Generalized Frequency Division Multiplex System[J]. Journal of Shanghai Jiaotong University, 2017
, 51(9) : 1117 -1123 . DOI: 10.16183/j.cnki.jsjtu.2017.09.015

References

 [1]MICHAILOW N, MATTHE M, GASPAR I S, et al. Generalized frequency division multiplexing for 5th generation cellular networks[J]. IEEE Transactions on Communications, 2014, 62(9): 30453061.
[2]FANG J,  LU I T. Precoder designs for jointly suppressing outofband emission and peaktoaverage power ratio in an orthogonal frequency division multiplexing system[J]. LET Communications, 2014, 8(10): 17051713.
[3]TOM A, SAHIN A, ARSLAN H. Mask compliant precoder for OFDM spectrum shaping[J]. IEEE Communications Letters, 2013, 17(3): 447450.
[4]MOHAMAD M, NILSSON R, BEEK J V D. An analysis of outofband emission and inband interference for precoded and classical OFDM systems[C]∥European Wireless 2015: European Wireless Conference. Budapest:  VDE, 2015: 15.
[5]CHANG L, LI J, LI G Y. Blind parameter estimation of GFDM signals over frequencyselective fading channels[C]∥IEEE Global Conference on Signal and Information Processing. Orlando:  IEEE, 2015: 275279.
[6]FARHANG A, MARCHETTI N, DOYLE L E. Low complexity GFDM receiver design:  A new approach[C]∥IEEE International Conference on Communications. London:  IEEE, 2015: 47754780.
[7]LIU Y, MEI W, DU H. Two compressive sensingbased estimation schemes designed for rapidly timevarying channels in orthogonal frequency division multiplexing systems[J]. LET Signal Processing, 2014, 8(3): 291299.
[8]MORETTI M, SANGUINETTI L, WANG X. Resource allocation for power minimization in the downlink of THPbased spatial multiplexing MIMOOFDMA systems[J]. IEEE Transactions on Vehicular Technology, 2014, 64(1): 405411.
[9]GUVENKAYA E, TOM A, ARSLAN H. Joint sidelobe suppression and PAPR reduction in OFDM using partial transmit sequences[C]∥Military Communications Conference, Milcom 2013. San Diego:  IEEE, 2013: 95100.
[10]SHARIFIAN Z, OMIDI M J, SAEEDISOURCK H, et al. Linear precoding for PAPR reduction of GFDMA[J]. IEEE Wireless Communications Letters, 2016, 5(5): 520523.
[11]RUGINI L, BANELLI P, LEUS G. Simple equalization of timevarying channels for OFDM[J]. IEEE Communications Letters, 2005, 9(7): 619621.
[12]BOUSSAKTA S, HOLT A G J. Fast algorithm for calculation of both WalshHadamard and fourier transforms (FWFTs)[J]. Electronics Letters, 1989, 25(20): 13521354.
[13]ZHANG D, MENDES L L, MATTH M, et al. Expectation propagation for nearoptimum detection of MIMOGFDM signals[J]. IEEE Transactions on Wireless Communications, 2016, 15(2): 10451062.
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