Doppler effect; message passing; OTFS; random access; Satellite communications; Computer Networks and Communications; Electrical and Electronic Engineering
Résumé :
[en] This paper investigates joint device identification, channel estimation, and symbol detection for cooperative multi-satellite-enhanced random access, where orthogonal time-frequency space modulation with the large antenna array is utilized to combat the dynamics of the terrestrial-satellite links (TSLs). We introduce the generalized complex exponential basis expansion model to parameterize TSLs, thereby reducing the pilot overhead. By exploiting the block sparsity of the TSLs in the angular domain, a message passing algorithm is designed for initial channel estimation. Subsequently, we examine two cooperative modes to leverage the spatial diversity within satellite constellations: The centralized mode, where computations are performed at a high-power central server, and the distributed mode, where computations are offloaded to edge satellites with minimal signaling overhead. Specifically, in the centralized mode, device identification is achieved by aggregating backhaul information from edge satellites, and channel estimation and symbol detection are jointly enhanced through a structured approximate expectation propagation (AEP) algorithm. In the distributed mode, edge satellites share channel information and exchange soft information about data symbols, leading to a distributed version of AEP. The introduced basis expansion model for TSLs enables the efficient implementation of both centralized and distributed algorithms via fast Fourier transform. Simulation results demonstrate that proposed schemes significantly outperform conventional algorithms in terms of the activity error rate, the normalized mean squared error, and the symbol error rate. Notably, the distributed mode achieves performance comparable to the centralized mode with only two exchanges of soft information about data symbols within the constellation.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
Shen, Boxiao ; Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
Wu, Yongpeng ; Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
Gong, Shiqi ; Beijing Institute of Technology, School of Cyberspace Science and Technology, The School of Information and Electronics, Respectively, Beijing, China
Liu, Heng ; Beijing Institute of Technology, School of Cyberspace Science and Technology, The School of Information and Electronics, Respectively, Beijing, China
Ottersten, Bjowrn ; University of Luxembourg, Interdisciplinary Center for Security, Reliability and Trust (SnT), Luxembourg City, Luxembourg
Zhang, Wenjun ; Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Ottersten
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Massive MIMO-OTFS-Based Random Access for Cooperative LEO Satellite Constellations
Date de publication/diffusion :
2024
Titre du périodique :
IEEE Journal on Selected Areas In Communications
ISSN :
0733-8716
Maison d'édition :
Institute of Electrical and Electronics Engineers Inc.
Fundamental Research Funds for the Central Universities National Science Foundation 111 project STCSM FNR research
Subventionnement (détails) :
The work of Y. Wu is supported in part by the Fundamental Research Funds for the Central Universities, National Science Foundation (NSFC) under Grant 62122052 and 62071289, 111 project BP0719010, and STCSM 22DZ2229005; The work by B. Ottersten is funded in part by the FNR research grant 18014377. (Corresponding author: Yongpeng Wu).
Y. Mehmood, F. Ahmad, I. Yaqoob, A. Adnane, M. Imran, and S. Guizani, “Internet-of-things-based smart cities: Recent advances and challenges,” IEEE Commun. Mag., vol. 55, no. 9, pp. 16–24, Sep. 2017.
M. De Sanctis, E. Cianca, G. Araniti, I. Bisio, and R. Prasad, “Satellite communications supporting internet of remote things,” IEEE Internet Things J., vol. 3, no. 1, pp. 113–123, Oct. 2016.
X. Lin, S. Cioni, G. Charbit, N. Chuberre, S. Hellsten, and J.-F. Boutillon, “On the path to 6G: Embracing the next wave of low earth orbit satellite access,” IEEE Commun. Mag., vol. 59, no. 12, pp. 36–42, Dec. 2021.
J. Jiao, S. Wu, R. Lu, and Q. Zhang, “Massive access in space-based internet of things: Challenges, opportunities, and future directions,” IEEE Wireless Commun., vol. 28, no. 5, pp. 118–125, Oct. 2021.
Z. Gao, X. Zhou, J. Zhao, J. Li, C. Zhu, C. Hu, P. Xiao, S. Chatzinotas, D. W. K. Ng, and B. Ottersten, “Grant-free NOMA-OTFS paradigm: Enabling efficient ubiquitous access for LEO satellite internet-of-things,” IEEE Network, vol. 37, no. 1, pp. 18–26, Apr. 2023.
S. Liu, Z. Gao, Y. Wu, D. W. Kwan Ng, X. Gao, K.-K. Wong, S. Chatzinotas, and B. Ottersten, “LEO satellite constellations for 5G and beyond: How will they reshape vertical domains?” IEEE Commun. Mag., vol. 59, no. 7, pp. 30–36, Jul. 2021.
J. Choi, J. Ding, N.-P. Le, and Z. Ding, “Grant-free random access in machine-type communication: Approaches and challenges,” IEEE Wireless Commun., vol. 29, no. 1, pp. 151–158, Feb. 2022.
L. Liu, E. G. Larsson, W. Yu, P. Popovski, C. Stefanovic, and E. de Carvalho, “Sparse signal processing for grant-free massive connectivity: A future paradigm for random access protocols in the internet of things,” IEEE Signal Process. Mag., vol. 35, no. 5, pp. 88–99, Sep. 2018.
Z. Gao, M. Ke, Y. Mei, L. Qiao, S. Chen, D. W. K. Ng, and H. V. Poor, “Compressive-sensing-based grant-free massive access for 6G massive communication,” IEEE Internet Things J., vol. 11, no. 5, pp. 7411–7435, Mar. 2024.
L. Liu and W. Yu, “Massive connectivity with massive MIMO—part I: Device activity detection and channel estimation,” IEEE Trans. Signal Process., vol. 66, no. 11, pp. 2933–2946, Mar. 2018.
X. Shao, X. Chen, Y. Qiang, C. Zhong, and Z. Zhang, “Feature-aided adaptive-tuning deep learning for massive device detection,” IEEE J. Sel. Areas Commun., vol. 39, no. 7, pp. 1899–1914, May 2021.
M. Ke, Z. Gao, Y. Wu, X. Gao, and R. Schober, “Compressive sensing-based adaptive active user detection and channel estimation: Massive access meets massive MIMO,” IEEE Trans. Signal Process., vol. 68, pp. 764–779, Jan. 2020.
G. Sun, Y. Li, X. Yi, W. Wang, X. Gao, L. Wang, F. Wei, and Y. Chen, “Massive grant-free OFDMA with timing and frequency offsets,” IEEE Trans. Wireless Commun., vol. 21, no. 5, pp. 3365–3380, May 2022.
L. You, K.-X. Li, J. Wang, X. Gao, X.-G. Xia, and B. Ottersten, “Massive MIMO transmission for LEO satellite communications,” IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1851–1865, Aug. 2020.
Z. Zhang, Y. Li, C. Huang, Q. Guo, L. Liu, C. Yuen, and Y. L. Guan, “User activity detection and channel estimation for grant-free random access in LEO satellite-enabled internet of things,” IEEE Internet Things J., vol. 7, no. 9, pp. 8811–8825, Sep. 2020.
Y. Zuo, M. Yue, M. Zhang, S. Li, S. Ni, and X. Yuan, “OFDM-based massive connectivity for LEO satellite internet of things,” IEEE Trans. Wireless Commun., vol. 22, no. 11, pp. 8244–8258, Nov. 2023.
Y. Li, S. Chen, and W. Meng, “Asynchronous grant-free massive access with Doppler frequency offset in NTN,” IEEE Wireless Commun. Lett., vol. 13, no. 2, pp. 367–371, Feb. 2024.
Y. Ma, G. Ma, N. Wang, Z. Zhong, J. Yuan, and B. Ai, “Enabling OTFSTSMA for smart railways mMTC over LEO satellite: A differential Doppler shift perspective,” IEEE Internet Things J., vol. 10, no. 6, pp. 4799–4814, Mar. 2023.
B. Shen, Y. Wu, J. An, C. Xing, L. Zhao, and W. Zhang, “Random access with massive MIMO-OTFS in LEO satellite communications,” IEEE J. Sel. Areas Commun., vol. 40, no. 10, pp. 2865–2881, Oct. 2022.
X. Zhou, K. Ying, Z. Gao, Y. Wu, Z. Xiao, S. Chatzinotas, J. Yuan, and B. Ottersten, “Active terminal identification, channel estimation, and signal detection for grant-free NOMA-OTFS in LEO satellite internet-of-things,” IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2847–2866, Apr. 2023.
X. Wang, W. Shen, C. Xing, J. An, and L. Hanzo, “Joint Bayesian channel estimation and data detection for OTFS systems in LEO satellite communications,” IEEE Trans. Commun., vol. 70, no. 7, pp. 4386–4399, Jul. 2022.
R. Hadani, S. Rakib, M. Tsatsanis, A. Monk, A. J. Goldsmith, A. F. Molisch, and R. Calderbank, “Orthogonal time frequency space modulation,” in Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), San Francisco, CA, USA, May 2017, pp. 1–6.
B. Di, L. Song, Y. Li, and H. V. Poor, “Ultra-dense LEO: Integration of satellite access networks into 5G and beyond,” IEEE Wireless Commun., vol. 26, no. 2, pp. 62–69, Apr. 2019.
I. Leyva-Mayorga, B. Soret, and P. Popovski, “Inter-plane inter-satellite connectivity in dense LEO constellations,” IEEE Trans. Wireless Commun., vol. 20, no. 6, pp. 3430–3443, Jan. 2021.
M. Y. Abdelsadek, G. Karabulut-Kurt, H. Yanikomeroglu, P. Hu, G. Lamontagne, and K. Ahmed, “Broadband connectivity for handheld devices via LEO satellites: Is distributed massive MIMO the answer?” IEEE Open J. Commun. Soc., vol. 4, pp. 713–726, Mar. 2023.
K. Ying, Z. Gao, S. Chen, M. Zhou, D. Zheng, S. Chatzinotas, B. Ottersten, and H. V. Poor, “Quasi-synchronous random access for massive MIMO-based LEO satellite constellations,” IEEE J. Sel. Areas Commun., vol. 41, no. 6, pp. 1702–1722, May 2023.
G. Leus, “On the estimation of rapidly time-varying channels,” in Proc. IEEE Euro. Signal Process. Conf. (EUSIPCO), Vienna, Austria, Sep. 2004, pp. 2227–2230.
3rd Generation Partnership Project, “3rd generation partnership project; technical specification group radio access network; study on new radio (NR) to support non-terrestrial networks (Release 15),” 3GPP TR 38.811 V15.4.0, Sep. 2020.
A. G. Kanatas and A. D. Panagopoulos, Radio Wave Propagation and Channel Modeling for Earth-Space Systems. CRC Press, 2016.
M. K. Tsatsanis and G. B. Giannakis, “Modelling and equalization of rapidly fading channels,” Int. J. Adapt. Control Signal Process., vol. 10, no. 2-3, pp. 159–176, Mar. 1996.
Z. Tang, R. C. Cannizzaro, G. Leus, and P. Banelli, “Pilot-assisted time-varying channel estimation for OFDM systems,” IEEE Trans. Signal Process., vol. 55, no. 5, pp. 2226–2238, May 2007.
Y. Liu, Y. L. Guan, and D. G. G., “Near-optimal BEM OTFS receiver with low pilot overhead for high-mobility communications,” IEEE Trans. Commun., vol. 70, no. 5, pp. 3392–3406, 2022.
H. Iimori, T. Takahashi, K. Ishibashi, G. T. F. de Abreu, and W. Yu, “Grant-free access via bilinear inference for cell-free MIMO with low-coherence pilots,” IEEE Trans. Wireless Commun., vol. 20, no. 11, pp. 7694–7710, Nov. 2021.
S. Rangan, “Generalized approximate message passing for estimation with random linear mixing,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), St. Petersburg, Russia, Oct. 2011, pp. 2168–2172.
T. P. Minka, “A family of algorithms for approximate bayesian inference,” Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, MA, USA, 2001.
J. P. Vila and P. Schniter, “Expectation-maximization gaussian-mixture approximate message passing,” IEEE Trans. Signal Process., vol. 61, no. 19, pp. 4658–4672, Oct. 2013.
S. Bhandari, T. X. Vu, and S. Chatzinotas, “User-centric flexible resource management framework for LEO satellites with fully regenerative payload,” IEEE J. Sel. Areas Commun., pp. 1–1, Feb. 2024 (Early Access).
G. D. Surabhi and A. Chockalingam, “Low-complexity linear equalization for OTFS modulation,” IEEE Commun. Lett., vol. 24, no. 2, pp. 330–334, Feb. 2020.
S. Kay, Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory. Pearson, 1993.
F. Huang, Q. Guo, Y. Zhang, and Y. Zakharov, “Message passing-based joint channel estimation and signal detection for OTFS with superimposed pilots,” Sep. 2023. [Online]. Available: https://arxiv.org/abs/2309.08177.
