Near-Field Multiuser Communications based on Sparse Arrays
<|reference_start|>Near-Field Multiuser Communications based on Sparse Arrays: This paper considers near-field multiuser communications based on sparse arrays (SAs). First, for the uniform SAs (USAs), we analyze the beam gains of channel steering vectors, which shows that increasing the antenna spacings can effectively improve the spatial resolution of the antenna arrays to enhance the sum rate of multiuser communications. Then, we investigate nonuniform SAs (NSAs) to mitigate the high multiuser interference from the grating lobes of the USAs. To maximize the sum rate of near-field multiuser communications, we optimize the antenna positions of the NSAs, where a successive convex approximation-based antenna position optimization algorithm is proposed. Moreover, we find that the channels of both the USAs and the NSAs show uniform sparsity in the defined surrogate distance-angle (SD-A) domain. Based on the channel sparsity, an on-grid SD-A-domain orthogonal matching pursuit (SDA-OMP) algorithm is developed to estimate multiuser channels. To further improve the resolution of the SDA-OMP, we also design an off-grid SD-A-domain iterative super-resolution channel estimation algorithm. Simulation results demonstrate the superior performance of the proposed methods.<|reference_end|>
@article{chen2024near-field,
    title={Near-Field Multiuser Communications based on Sparse Arrays},
    author={Kangjian Chen, Chenhao Qi, Geoffrey Ye Li, Octavia A. Dobre},
    journal={arXiv preprint arXiv:2406.09238},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.09238},
    primaryClass={cs.IT eess.SP math.IT}
}