Performance of iterative Successive interference cancellation receiver for LDPC coded OTFS

Das, Suvra Sekhar; Tiwari, Shashank; Rangamgari, Vivek; Mondal, Sankar Prasad

doi:10.1109/ants50601.2020.9342760

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…Fifth-generation (5G) mobile communications are envisioned to accommodate many emerging applications in high-mobility scenarios, such as high-speed train, vehicle-to-vehicle, and vehicle-to-infrastructure communications [ 1 ]. In the future, sixth-generation (6G) mobile communications will enter the terahertz band, enabling a fully connected, intelligent digital world [ 2 , 3 ]. In all of the above, the wireless channel manifests strong Doppler shifts that increase with the carrier frequency or terminal speed.…”

Section: Introductionmentioning

confidence: 99%

A Message Passing-Assisted Iterative Noise Cancellation Method for Clipped OTFS-BFDM Systems

Bie

Wen

2022

Sensors

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Compared with orthogonal frequency division multiplexing (OFDM) systems, orthogonal time frequency space systems based on bi-orthogonal frequency division multiplexing (OTFS-BFDM) have lower out-of-band emission (OOBE) and better robustness to high-mobility scenarios, but suffer from a higher peak-to-average ratio (PAPR) in large data packets. In this paper, one-iteration clipping and filtering (OCF) is adopted to reduce the PAPR of OTFS-BFDM signals. However, the extra noise introduced by the clipping process, i.e., clipping noise, will distort the desired signal and increase the bit error rate (BER). We propose a message passing (MP)-assisted iterative cancellation (MP-AIC) method to cancel the clipping noise based on the traditional MP decoding at the receiver, which incorporates with the (OCF) at the transmitter to keep the sparsity of the effective channel matrix. The main idea of MP-AIC is to extract the residual signal fed to the MP detector by iteratively constructing reference clipping noise at the receiver. During each iteration, the variance of residual signal and channel noise are taken as input parameters of MP decoding to improve the BER. Moreover, the convergence probability of the modulation alphabet after MP decoding in the current iteration is used as the initial probability of MP decoding in the next iteration to accelerate the convergence rate of MP decoding. Simulation results show that the proposed MP-AIC method significantly improves MP-decoding accuracy while accelerating the BER convergence in the clipped OTFS-BFDM system. In the clipped OTFS-BFDM system with rectangular pulse shaping, the BER of MP-AIC with two iterations can be reduced by 72% more than that without clipping noise cancellation.

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Section: Introductionmentioning

confidence: 99%

A Message Passing-Assisted Iterative Noise Cancellation Method for Clipped OTFS-BFDM Systems

Bie

Wen

2022

Sensors

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“…In [9], the complexity of linear MMSE (LMMSE) matrix inversion was reduced by utilizing LU matrix decomposition. Successive interference cancellation (SIC) and parallel interference cancellation (PIC) for LMMSE filtering were applied by the authors in [10] and [11], respectively. In [12], a maximal ratio combining (MRC) based RAKE receiver was presented for a zero-padding OTFS (ZP-OTFS) system.…”

Section: Introductionmentioning

confidence: 99%