An OHC-based URA scheme integrates RFFI to enable message authentication in ultra-short-payload IoT scenarios.
MIMO-AFDM outperforms MIMO-OFDM in the face of hardware impairments
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
abstract
The impact of both multiplicative and additive hardware impairments (HWIs) on multiple-input multiple-output affine frequency division multiplexing (MIMO-AFDM) systems is investigated. For small-scale MIMO-AFDM systems, a tight bit error rate (BER) upper bound associated with the maximum likelihood (ML) detector is derived. By contrast, for large-scale systems, a closed-form BER approximation associated with the linear minimum mean squared error (LMMSE) detector is presented, including realistic imperfect channel estimation scenarios. Our first key observation is that the full diversity order of a hardware-impaired AFDM system remains unaffected, which is a unique advantage. Furthermore, our analysis shows that 1) the BER results derived accurately predict the simulated ML performance in moderate-to-high signal-to-noise ratios (SNRs), while the theoretical BER curve of the LMMSE detector closely matches that of the Monte-Carlo based one. 2) MIMO-AFDM is more resilient to multiplicative distortions, such as phase noise and carrier frequency offset, compared to its orthogonal frequency division multiplexing (OFDM) counterparts. This is attributed to its inherent chirp signal characteristics; 3) MIMO-AFDM consistently achieves superior BER performance compared to conventional MIMO-OFDM systems under the same additive HWI conditions, as well as different velocity values. The latter is because MIMO-AFDM is also resilient to the additional inter-carrier interference (ICI) imposed by the nonlinear distortions of additive HWIs. In a nutshell, compared to OFDM, AFDM demonstrates stronger ICI resilience and achieves the maximum full diversity attainable gain even under HWIs, thanks to its intrinsic chirp signalling structure as well as to the beneficial spreading effect of the discrete affine Fourier transform.
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eess.SP 6years
2026 6verdicts
UNVERDICTED 6representative citing papers
DAFT-s-AFDM with probabilistic constellation shaping achieves a superior controllable tradeoff between communication and sensing ambiguity function performance in ISAC systems.
JPNCE-SBL jointly estimates phase noise and off-grid channels in AFDM via reduced-rank subspace projection and dynamic grid evolution in an EM loop, outperforming benchmarks and approaching perfect CSI performance.
AFBM sensing performance remains largely insensitive to power amplifier nonlinearities because the modulation matrix structure controls distortion propagation in the ambiguity function.
An adaptive optimization of the c2 parameter in AFDM reduces PAPR and weighted sidelobe levels using a spectral projected-gradient algorithm for improved ISAC performance.
A two-stage preamble-assisted iterative estimation plus BEM-LMMSE scheme compensates transmitter/receiver IQ imbalance in AFDM, yielding rapid convergence and near-ideal BER in simulations.
citing papers explorer
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One-hot Coding-based URA with RFFI-Enabled Message Authentication
An OHC-based URA scheme integrates RFFI to enable message authentication in ultra-short-payload IoT scenarios.
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DAFT-s-AFDM Enabled ISAC Systems: Ambiguity Function Analysis and Waveform Design
DAFT-s-AFDM with probabilistic constellation shaping achieves a superior controllable tradeoff between communication and sensing ambiguity function performance in ISAC systems.
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Joint Phase Noise and Off-Grid Channel Estimation for AFDM Systems via Sparse Bayesian Learning
JPNCE-SBL jointly estimates phase noise and off-grid channels in AFDM via reduced-rank subspace projection and dynamic grid evolution in an EM loop, outperforming benchmarks and approaching perfect CSI performance.
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On the Robustness of AFBM Sensing to Power Amplifier Nonlinearities
AFBM sensing performance remains largely insensitive to power amplifier nonlinearities because the modulation matrix structure controls distortion propagation in the ambiguity function.
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Adaptive $c_2$-Perturbed AFDM Waveform Design for Integrated Sensing and Communication
An adaptive optimization of the c2 parameter in AFDM reduces PAPR and weighted sidelobe levels using a spectral projected-gradient algorithm for improved ISAC performance.
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Two-Stage IQ Imbalance Estimation and Compensation for AFDM Systems
A two-stage preamble-assisted iterative estimation plus BEM-LMMSE scheme compensates transmitter/receiver IQ imbalance in AFDM, yielding rapid convergence and near-ideal BER in simulations.