Sparse Estimation for XL-MIMO with Unified LoS/NLoS Representation (2403.12506v1)
Abstract: Extremely large-scale antenna array (ELAA) is promising as one of the key ingredients for the sixth generation (6G) of wireless communications. The electromagnetic propagation of spherical wavefronts introduces an additional distance-dependent dimension beyond conventional beamspace. In this paper, we first present one concise closed-form channel formulation for extremely large-scale multiple-input multiple-output (XL-MIMO). All line-of-sight (LoS) and non-line-of-sight (NLoS) paths, far-field and near-field scenarios, and XL-MIMO and XL-MISO channels are unified under the framework, where additional Vandermonde windowing matrix is exclusively considered for LoS path. Under this framework, we further propose one low-complexity unified LoS/NLoS orthogonal matching pursuit (XL-UOMP) algorithm for XL-MIMO channel estimation. The simulation results demonstrate the superiority of the proposed algorithm on both estimation accuracy and pilot consumption.
- E. Björnson, L. Sanguinetti, H. Wymeersch, J. Hoydis, and T. L. Marzetta, “Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays,” Digital Signal Processing, vol. 94, pp. 3–20, 2019.
- B. Ning, Z. Tian, Z. Chen, C. Han, J. Yuan, and S. Li, “Prospective beamforming technologies for ultra-massive MIMO in terahertz communications: A tutorial,” arXiv preprint arXiv:2107.03032, 2021.
- Y. Jiang, F. Gao, M. Jian, S. Zhang, and W. Zhang, “Reconfigurable intelligent surface for near field communications: Beamforming and sensing,” IEEE Trans. Wireless Commun., 2022.
- W. Southwell, “Validity of the Fresnel approximation in the near field,” JOSA, vol. 71, no. 1, pp. 7–14, 1981.
- Z. Zhou, X. Gao, J. Fang, and Z. Chen, “Spherical wave channel and analysis for large linear array in LoS conditions,” in 2015 IEEE Globecom Workshops (GC Wkshps), pp. 1–6, IEEE, 2015.
- L. Yan, Y. Chen, C. Han, and J. Yuan, “Joint inter-path and intra-path multiplexing for terahertz widely-spaced multi-subarray hybrid beamforming systems,” IEEE Trans. on Commun., vol. 70, no. 2, pp. 1391–1406, 2021.
- Y. Lu and L. Dai, “Near-field channel estimation in mixed los/nlos environments for extremely large-scale mimo systems,” IEEE Trans. Commun., 2023.
- Y. Han, S. Jin, C.-K. Wen, and X. Ma, “Channel estimation for extremely large-scale massive mimo systems,” IEEE Wireless Communications Letters, vol. 9, no. 5, pp. 633–637, 2020.
- M. Cui and L. Dai, “Channel estimation for extremely large-scale mimo: Far-field or near-field?,” IEEE Trans. Commun., vol. 70, no. 4, pp. 2663–2677, 2022.
- S. Yang, W. Lyu, Z. Hu, Z. Zhang, and C. Yuen, “Channel Estimation for Near-Field XL-RIS-Aided mmWave Hybrid Beamforming Architectures,” IEEE Trans. Veh. Technol., vol. 72, no. 8, pp. 11029–11034, 2023.
- X. Shi, J. Wang, Z. Sun, and J. Song, “Spatial-chirp Codebook-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO,” IEEE Transactions on Wireless Communications, pp. 1–1, 2023.
- Y. Chen, R. Li, C. Han, S. Sun, and M. Tao, “Hybrid spherical-and planar-wave channel modeling and estimation for terahertz integrated um-mimo and irs systems,” arXiv preprint arXiv:2205.13113, 2022.
- J. Lee, G.-T. Gil, and Y. H. Lee, “Channel estimation via orthogonal matching pursuit for hybrid mimo systems in millimeter wave communications,” IEEE Trans. Commun., vol. 64, no. 6, pp. 2370–2386, 2016.
- X. Shi, J. Wang, and J. Song, “Triple-structured compressive sensing-based channel estimation for ris-aided mu-mimo systems,” IEEE Trans. Wireless Commun., vol. 21, no. 12, pp. 11095–11109, 2022.
- X. Wang, X. Shi, J. Wang, and J. Song, “On the doppler squint effect in otfs systems over doubly-dispersive channels: Modeling and evaluation,” IEEE Trans. Wireless Commun., 2023.