Enhanced 4×4 MIMO RoF architecture for 5G mmWave indoor applications at 60 GHz unlicensed band

Azzahhafi, Hachim; Yahyaoui, Moussa El; Moussati, Ali El; Zein, Ghaïs El; Armada, Ana García

doi:10.1016/j.optcom.2023.129266

Cited by 3 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The section of the detector architecture presented in this paper has undergone significant refinement, primarily focusing on the computation of the regularized Gram matrices A (2) and (7). The key enhancement lies in the regularization processing applied to the Gram matrices to improve the performance and accuracy of the detector.…”

Section: Circuit Architecturementioning

confidence: 99%

“…In conjunction with (7), regularized Gram matrices of 𝑈 × 𝑈, such as (3), and matrices D and E, are calculated using reciprocal units in a PE. Given the dominance of Matrix A on the diagonal, we can alleviate the dynamic range problem by reducing the element, as shown in (6).…”

Section: Lower Triangular Pulsating Array Architecturementioning

confidence: 99%

“…This calculation involves adding 𝑫 −1 and 𝑫 −1 𝑬𝑫 −1 to every PE and executing multiplication of scalars. The process can be iterated for higher-order Neumann series approximation calculations, effectively implementing equation (7) in the circuit [8] [10].…”

Section: Lower Triangular Pulsating Array Architecturementioning

confidence: 99%

“…To enhance the efficiency of data detection efficacy in the massive MIMO systems' uplink, we introduce a novel pulsating VLSI architecture [7]. This architecture is founded on the truncated Neumann series expansion method for approximate matrix inversion [8] presented in [9], along with the matrix inversion method essential for low-complexity computation outlined in [10].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimization design of Neumann series circuit structure for large-scale MIMO signal detection

2024

Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024)

View full text Add to dashboard Cite

In large-scale multiple-input multiple-output (MIMO) systems, the computational complexity of linear data detection poses a significant challenge. This paper addresses this issue by focusing on enhancing detection performance through the optimization of the circuit structure based on the Neumann series approximation method. While using a limited number of Neumann series terms for approximate matrix inversion proves to be an effective method, the associated low complexity requires improvement. This paper proposes a novel architecture that enhances the cell distribution structure of Gram matrix computing cells. This improvement results in an objectively low-complexity approximation inversion of the pulsating array, with simulation results on FPGA supporting the theoretical findings. The inversion in the approximation matrix is done on Xilinx Virtex-7 FPGA for a system with 128 BS antennas for receiving the data of 8 single-antenna users; Slice LUTS and Slice Registers account for only roughly 19.53% and 27.17%, respectively.

show abstract

Section: Circuit Architecturementioning

confidence: 99%

Section: Lower Triangular Pulsating Array Architecturementioning

confidence: 99%

Section: Lower Triangular Pulsating Array Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization design of Neumann series circuit structure for large-scale MIMO signal detection

2024

Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024)

View full text Add to dashboard Cite

show abstract

“…Technical standards divide this band into four 2. 16 2738 which allocates at the second channel has been selected for this study since it is commonly used as an unlicensed frequency in different regions and countries [5].…”

Section: Introductionmentioning

confidence: 99%

60 GHz millimeter-wave indoor propagation path loss models for modified indoor environments

Qasem,

Alkhawatrah

2024

IJECE

View full text Add to dashboard Cite

The 60 GHz band has been selected for short-range communication systems to meet consumers’ needs for high data rates. However, this frequency is attenuated by obstacles. This study addresses the limitations of the 60 GHz band by modifying indoor environments with square loop (SL) frequency selective surfaces (FSSs) wallpaper, thereby increasing its utilization. The SL FSS wallpaper response at a 61.5 GHz frequency has been analyzed using both MATLAB and CST Studio Suite software. ‘Wireless InSite’ is also used to demonstrate enhanced wave propagation in a building modified with SL FSSs wallpaper. The demonstration is applied to multiple input multiple output system to verify the effectiveness of FSSs on such systems’ capacity, as well as the effect of the human body on capacity. Simulation results presented here show that modifying a building using SL FSS wallpaper is an attractive scheme for significantly improving the indoor 60 GHz wireless communications band. This paper also presents and compares two large-scale indoor propagation path loss models, the close-in (CI) free space reference distance model and the floating intercept (FI) model. Data obtained from ‘Wireless InSite’ over distances ranging from 4 to 14.31 m is analyzed. Results show that the CI model provides good estimation and exhibits stable behavior over frequencies and distances, with a solid physical basis and less computational complexity when compared to the FI model.

show abstract

MIMO–OFDM based optical millimeter wave generation for radio over fiber wireless communication systems

Santhanam,

Krishna Mari Selvi

2024

J Opt

View full text Add to dashboard Cite

Enhanced 4×4 MIMO RoF architecture for 5G mmWave indoor applications at 60 GHz unlicensed band

Cited by 3 publications

References 23 publications

Optimization design of Neumann series circuit structure for large-scale MIMO signal detection

Optimization design of Neumann series circuit structure for large-scale MIMO signal detection

60 GHz millimeter-wave indoor propagation path loss models for modified indoor environments

MIMO–OFDM based optical millimeter wave generation for radio over fiber wireless communication systems

Contact Info

Product

Resources

About