A novel hybrid ICI cancellation technique for OFDM optimization

Singh, Harmanjeet; Sarowa, Sandeep; Agrawal, Sunil

doi:10.1109/raecs.2015.7453374

Cited by 3 publications

(2 citation statements)

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“…17 Another approach is to preprocess the data symbols at the transmitter, which includes time-domain windowing [17][18][19][20][21][22] and self-cancelation. [23][24][25][26][27][28][29][30][31][32] The time-domain windowing schemes are based on a priori statistical information of the channel and design the windowing parameters according to minimum mean square error (MMSE) criterion to mitigate the effects of ICI. 18 The self-cancelation methods are actually based on the fact that the major part of ICI is from adjacent subcarriers.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…It enables the receiver to effectively eliminate ICI, but the complexity for the compensation operation is relatively high 17 . Another approach is to preprocess the data symbols at the transmitter, which includes time‐domain windowing 17–22 and self‐cancelation 23–32 . The time‐domain windowing schemes are based on a priori statistical information of the channel and design the windowing parameters according to minimum mean square error (MMSE) criterion to mitigate the effects of ICI 18 .…”

Section: Introductionmentioning

confidence: 99%

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Rateless coded Orthogonal Frequency Division Multiplexing system design based on intercarrier interference self‐cancelation

Zhang

Yang

Hua

et al. 2020

Int J Communication

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Summary In this paper, we consider a rateless coded Orthogonal Frequency Division Multiplexing (OFDM) system under a quasistatic fading channel. During each transmission round, transmitter keeps transmitting to the receiver using Raptor code until the receiver feeds back an acknowledgement (ACK). On the other hand, frequency offset between the transmitter and receiver ruins the orthogonality of OFDM subcarriers and cause intercarrier interference (ICI). We resort to ICI self‐cancelation precoding to combat ICI, wherein the data symbol vectors are multiplied with some precoding matrix before transmission. To improve the system robustness, we jointly optimize the precoding matrix and the degree profile of Raptor code, with only statistical channel state information (CSI) being assumed at the transmitter. The optimization problem is formulated based on the extrinsic information transfer (EXIT) analysis of the decoding process at the receiver. The advantage of the proposed design is that the instant CSI is not required at the transmitter, which reduces the system overhead. Simulation results verify that the proposed scheme with the optimized precoding matrix and degree profile can effectively combat ICI and achieve good performance both in bit error ratio (BER) and average transmission rate.

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