Joint PAPR and OOBE Reduction for AFDM via Chirp Parameter Tuning
Vincent Savaux, Hyeon Seok Rou, Zeping Sui, Giuseppe Thadeu Freitas de Abreu, Zilong Liu
Abstract
This paper addresses the joint reduction of the peak-to-average power ratio (PAPR) and out-of-band emissions (OOBE) in affine frequency division multiplexing (AFDM) systems by selecting the pre-chirp parameter c2. While existing approaches typically optimize either PAPR or OOBE independently, the proposed method jointly considers both metrics. To this end, a weighted cost function combining PAPR and OOBE is introduced to evaluate the trade-off between the two objectives. A pre-chirp selection scheme, inspired by the selected mapping (SLM) technique, is then employed to identify the optimal c2 value from a finite set of candidates, yielding a Pareto-optimal operating point within a discrete set. Simulation results demonstrate that the proposed approach simultaneously reduces both PAPR and OOBE compared with conventional AFDM. Moreover, its performance remains close to that of methods specifically optimized for a single objective, with only about a 1 dB degradation in PAPR reduction and a 2-3 dB degradation in OOBE suppression.
Create a lesson
Related papers
A Dry-Contact Ear-EEG System With Continuous Electrode-Skin Impedance Mismatch Monitoring for Motion Artifact Cancellation Using DRL Stimulus
Lohan Atapattu, Sajitha Madugalle, Imasha Nethmal et al.
ARFT: A Synchronized Multimodal RF-Acoustic Dataset for Positioning in Distributed Environments
Daan Delabie, Jarne Van Mulders, Bert Pyck et al.
Active Inference for Joint Port Selection and Pilot Allocation in Fluid Antenna Systems Under Partial CSI
Kian Fotovat, Kamran Fotovat, Zijun Wang
Enhancing Vehicular Network Performance Through Integrated RSU and UAV Deployment
Muhammad Ismail, Syed Luqman Shah, Fazal Muhammad et al.
Bidirectional CFO Separation for Radial Velocity Estimation In 5G NR TDD V2X Links
Mohamed Elamine Benattia, Huseyin Arslan
A Geometric Analysis of Initialization Bias in Spherical K-means in the Weak Signal Regime
Amnon Balanov, Tamir Bendory