Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
156 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Integrated Sensing and Communications with Affine Frequency Division Multiplexing (2402.16468v1)

Published 26 Feb 2024 in cs.IT, eess.SP, and math.IT

Abstract: Integrated sensing and communications (ISAC) is regarded as a key technology in next-generation (6G) mobile communication systems. Affine frequency division multiplexing (AFDM) is a recently proposed waveform that achieves optimal diversity gain in high mobility scenarios and has appealing properties in high-frequency communication. In this letter, we present an AFDM-based ISAC system. We first show that in order to identify all delay and Doppler components associated with the propagation medium, either the full AFDM signal or only its pilot part consisting of one discrete affine Fourier transform (DAFT) domain symbol and its guard interval can be used. Our results show that using one pilot symbol achieves almost the same sensing performance as using the entire AFDM frame. Furthermore, due to the chirp nature of AFDM, sensing with one pilot provides a unique feature allowing for simple self-interference cancellation, thus avoiding the need for expensive full duplex methods.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (10)
  1. F. Liu, C. Masouros, A. P. Petropulu, H. Griffiths, and L. Hanzo, “Joint radar and communication design: Applications, state-of-the-art, and the road ahead,” IEEE Trans. on Commun., vol. 68, no. 6, 2020.
  2. Y. Geng, “A novel waveform design for ofdm-based joint sensing and communication system,” in IEEE 3rd Int. Symp. on Joint Commun. & Sensing (JC&S), 2023, pp. 1–6.
  3. X. Ouyang and J. Zhao, “Orthogonal chirp division multiplexing,” IEEE Transactions on Communications, vol. 64, no. 9, pp. 3946–3957, 2016.
  4. L. G. d. Oliveira, M. B. Alabd, B. Nuss, and T. Zwick, “An OCDM radar-communication system,” in 2020 14th European Conference on Antennas and Propagation (EuCAP), 2020, pp. 1–5.
  5. A. Bemani, N. Ksairi, and M. Kountouris, “Affine frequency division multiplexing for next generation wireless communications,” IEEE Transactions on Wireless Communications, 2023.
  6. L. Gaudio, M. Kobayashi, G. Caire, and G. Colavolpe, “On the effectiveness of OTFS for joint radar parameter estimation and communication,” IEEE Trans. Wirel. Commun., vol. 19, no. 9, pp. 5951–5965, 2020.
  7. A. Bemani, N. Ksairi, and M. Kountouris, “AFDM: A full diversity next generation waveform for high mobility communications,” in 2021 IEEE Int. Conf. on Commun. Workshops (ICC Workshops), 2021, pp. 1–6.
  8. Q. Wang, A. Kakkavas, X. Gong, and R. A. Stirling-Gallacher, “Towards integrated sensing and communications for 6G,” in 2022 2nd IEEE Int. Symp. on Joint Comm. & Sensing (JC&S).   IEEE, 2022, pp. 1–6.
  9. Y. Ni, Z. Wang, P. Yuan, and Q. Huang, “An AFDM-based integrated sensing and communications,” in 2022 Int. Symp. on Wireless Commun. Systems (ISWCS), 2022, pp. 1–6.
  10. W. Benzine, A. Bemani, N. Ksairi, and D. Slock, “Affine frequency division multiplexing for communications on sparse time-varying channels,” in 2023 IEEE Glob. Commun. Conf. (GLOBECOM), 2023, pp. 1–6.
Citations (12)

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com