Low Complexity Equalization for Afdm In Doubly Dispersive Channels

Bemani, Ali; Ksairi, Nassar; Kountouris, Marios

doi:10.1109/icassp43922.2022.9746329

Cited by 11 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…N. Ksairi is with the Mathematical and Algorithmic Sciences Lab, Huawei France R&D, Paris, France. Email: nassar.ksairi@huawei.com Part of the results appear in [1] and [2].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, it shows that the weighted MRC-based DFE has close performance to exact LMMSE, which validates Theorem 2. In Fig.10a, all BER curves (i.e., of the two methods and of low-complexity MMSE[2] based on banded matrix approximation) coincide because the channel matrices used in the three detection methods are all the same and are banded without approximation. In Fig.10b, exact LMMSE has slightly better performance than the low-complexity methods due to the use of the banded-matrix approximation in the latter when Doppler frequency shifts are fractional.…”

mentioning

confidence: 98%

See 1 more Smart Citation

Affine Frequency Division Multiplexing for Next-Generation Wireless Networks

Bemani

Cuozzo

Ksairi

et al. 2021

2021 17th International Symposium on Wireless Communication Systems (ISWCS)

Self Cite

View full text Add to dashboard Cite

Affine Frequency Division Multiplexing (AFDM), a new chirp-based multicarrier waveform for high mobility communications, is introduced here. AFDM is based on discrete affine Fourier transform (DAFT), a generalization of discrete Fourier transform, which is characterized by two parameters that can be adapted to better cope with doubly dispersive channels. First, we derive the explicit input-output relation in the DAFT domain showing the effect of AFDM parameters in the input-output relation.Second, we show how the DAFT parameters underlying AFDM have to be set so that the resulting DAFT domain impulse response conveys a full delay-Doppler representation of the channel. Then, we show analytically that AFDM can achieve full diversity in doubly dispersive channels, where full diversity refers to the number of multipath components separable in either the delay or the Doppler domain, due to its full delay-Doppler representation. Furthermore, we present a low complexity detection method taking advantage of zero-padding. We also propose an embedded pilot-aided channel estimation scheme for AFDM, in which both channel estimation and data detection are performed within the same AFDM frame. Finally, simulations corroborate the validity of our analytical results and show the significant performance gains of AFDM over state-of-the-art multicarrier schemes in high mobility scenarios.

show abstract

“…N. Ksairi is with the Mathematical and Algorithmic Sciences Lab, Huawei France R&D, Paris, France. Email: nassar.ksairi@huawei.com Part of the results appear in [1] and [2].…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 98%