Jul 2026· IEEE International Conference on Consumer Electronics· pp. 72-77· 0 citations· 10 references
Abstract
This paper investigates asymmetric spatial modulation (ASM) for multi-user multiple-input multiple-output (MIMO) systems operating in the near-field (NF) region. Considering spherical-wave propagation, closed-form expressions for the average bit error probability (BEP) of both users are derived under maximum likelihood (ML) detection. The analytical framework is validated through Monte Carlo simulations using five million transmitted symbols. Numerical results compare the near-field (NF) and far-field (FF) channel models. When users are located in the NF region, for example at a distance of 0.2 m from the array, the NF model achieves lower BER across the entire signal-to-noise ratio range. At an SNR of 20 dB, the BER gap between NF and FF increases from approximately 1.65e-3 for 16 transmit antennas to about $\mathbf{5. 0 1 e}-\mathbf{3}$ for 32 transmit antennas. The proposed ASM scheme also provides comparable BEP performance for the two users while enabling simultaneous transmission within the same MIMO resource block. These results show that near-field spatial characteristics can be effectively exploited for multi-user transmission in large-scale and high-frequency MIMO systems.
Extra-large multiple-input multiple-output (XL-MIMO) systems {serving users across near-field and far-field regions} experience spherical wavefront propagation that provides enhanced spatial resolution over traditional far-field systems. In this work, we propose a novel weighted rate (WR) ordering-based successive inte...
A generalized geometric model is developed to calculate the 3D distance between arbitrary antenna elements across the transmitter and receiver panels and derives a closed-form near-field to far-field (NF-FF) boundary for dual-UPA configurations.
The extra-large multiple-input–multiple-output (XL-MIMO) technique has demonstrated significant potential for future wireless communications. In this article, we investigate the joint channel estimation (CE) and active user detection (AUD) for massive grant-free access in XL-MIMO systems. The conventional efficient joi...
Jia-Wei Zhuang, Jiaqi Fang, Gang Sun et al.· IEEE Internet of Things Jour...· 0 citations
This paper investigates the EE–SE trade-off in a downlink Massive MIMO system with Minimum Mean Square Error (MMSE) channel estimation (CE) and different linear combining and precoding techniques, confirming that MMSE-based CE provides higher spectral efficiency than the MR, ZF, RZF, and S-MMSE schemes, albeit at incre...
Raed S. M. Daraghma· Journal of Low Power Electro...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.