REVIEW 5 cited by
Enhancing Spatial Multiplexing and Interference Suppression for Near- and Far-Field Communications with Sparse MIMO
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
Multiple-input multiple-output has been a key technology for wireless systems for decades. For typical MIMO communication systems, antenna array elements are usually separated by half of the carrier wavelength, thus termed as conventional MIMO. In this paper, we investigate the performance of multi-user MIMO communication, with sparse arrays at both the transmitter and receiver side, i.e., the array elements are separated by more than half wavelength. Given the same number of array elements, the performance of sparse MIMO is compared with conventional MIMO. On one hand, sparse MIMO has a larger aperture, which can achieve narrower main lobe beams that make it easier to resolve densely located users. Besides, increased array aperture also enlarges the near-field communication region, which can enhance the spatial multiplexing gain, thanks to the spherical wavefront property in the near-field region. On the other hand, element spacing larger than half wavelength leads to undesired grating lobes, which, if left unattended, may cause severe inter-user interference. To gain further insights, we first study the spatial multiplexing gain of the basic single-user sparse MIMO communication system, where a closed-form expression of the near-field effective degree of freedom is derived. The result shows that the EDoF increases with the array sparsity for sparse MIMO before reaching its upper bound, which equals to the minimum value between the transmit and receive antenna numbers. Furthermore, the scaling law for the achievable data rate with varying array sparsity is analyzed and an array sparsity-selection strategy is proposed. We then consider the more general multi-user sparse MIMO communication system. It is shown that sparse MIMO is less likely to experience severe IUI than conventional MIMO.
Forward citations
Cited by 5 Pith papers
-
Engineering Favorable Propagation: Near-Field IRS Deployment for Spatial Multiplexing
Near-field placement of an IRS, with inter-element phase differences aligned to the nulls of the BS array factor, reduces user-channel correlation below 2/M and enables low-complexity spatial multiplexing.
-
The Impact of Uniform Circular Array on Near-field ISAC
A uniform circular array near-field ISAC system is analyzed, yielding closed-form Cramer-Rao bounds and a low-complexity beamforming algorithm that outperforms SDR in simulations.
-
Wireless Communication with Flexible Reflector: Joint Placement and Rotation Optimization for Coverage Enhancement
Optimizing the position and rotation of passive metal reflectors can significantly boost worst-case receive power in a target area, with a closed-form specular placement rule for large reflectors.
-
Flexible XL-MIMO via Array Configuration Codebook: Codebook Design and Array Configuration Training
A codebook of pre-designed array configurations (compact, sparse, modular, nested, co-prime) enables low-overhead antenna activation training for XL-MIMO communication and localization, with two-stage scanning approac...
-
Integrated Super-resolution Sensing and Symbiotic Communication with 3D Sparse MIMO for Low-Altitude UAV Swarm
Sparse nested arrays at a base station improve both sensing resolution and backscatter communication rates for a UAV swarm, and a sensing-assisted channel estimation method needs few pilots.
Discussion (0). Continue with ORCID to comment.