Pre-Chirp-Domain Index Modulation for Full-Diversity Affine Frequency Division Multiplexing Toward 6G
As a superior multicarrier technique utilizing chirp signals for high-mobility communications, affine frequency division multiplexing (AFDM) is envisioned to be a promising candidate for sixth-generation (6G) wireless networks. AFDM is based on the discrete affine Fourier transform (DAFT) with two adjustable parameters of the chirp signals, termed the pre-chirp and post-chirp parameters, respectively. Whilst the post-chirp parameter complies with stringent constraints to combat the time-frequency doubly selective channel fading, we show that the pre-chirp counterpart can be flexibly manipulated for an additional degree of freedom. Therefore, this paper proposes a novel AFDM scheme with the pre-chirp index modulation (PIM) philosophy (AFDM-PIM), which can implicitly convey extra information bits through dynamic pre-chirp parameter assignment, thus enhancing both spectral and energy efficiency. Specifically, we first demonstrate that the subcarrier orthogonality is still maintained by applying distinct pre-chirp parameters to various subcarriers in the AFDM modulation process. Inspired by this property, we allow each AFDM subcarrier to carry a unique pre-chirp signal according to the incoming bits. By such an arrangement, extra bits can be embedded into the index patterns of pre-chirp parameter assignment without additional energy consumption. We derive asymptotically tight upper bounds on the average bit error probability (BEP) of the proposed schemes with the maximum-likelihood detection, and validate that the proposed AFDM-PIM can achieve full diversity under doubly dispersive channels. Based on the derived result, we further propose an optimal pre-chirp alphabet design to enhance the bit error rate (BER) performance via intelligent optimization algorithms. Simulation results demonstrate that the proposed AFDM-PIM outperforms the classical benchmarks.
Authors
- Ruiqi Liu (ORCID: https://orcid.org/0000-0001-6091-1138)
- Tianqi Mao (ORCID: https://orcid.org/0000-0003-4700-9419)
- Jingjing Zhao (ORCID: https://orcid.org/0000-0002-5417-0975)
- Ertuğrul Başar (ORCID: https://orcid.org/0000-0001-5566-2392)
- Zhenyu Xiao (ORCID: https://orcid.org/0000-0002-4884-542X)
- Miaowen Wen (ORCID: https://orcid.org/0000-0002-9638-7048)
- Sheng Chen (ORCID: https://orcid.org/0000-0001-6882-600X)
- Guangyao Liu (ORCID: https://orcid.org/0009-0005-3780-113X)
- Zhaocheng Wang (ORCID: https://orcid.org/0000-0002-6150-3846)
Institutions
- Tampere University (FI)
- ZTE (China) (CN)
- Zhuhai Fudan Innovation Research Institute (CN)
- University of Southampton (GB)
- Beihang University (CN)
- South China University of Technology (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- IEEE Transactions on Wireless Communications
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/twc.2025.3559997
- Citations
- 19
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 13.88
Funders
- National Natural Science Foundation of China