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Tytuł:
Improved Two-Dimensional Double Successive Projection Algorithm for Massive MIMO Detection
Autorzy:
Chakraborty, Sourav
Sinha, Nirmalendu Bika
Mitra, Monojit
Powiązania:
https://bibliotekanauki.pl/articles/2202981.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
massive MIMO
MMSE
ZF
2D-DSP
QAM
LLR
I2D-DSP
Opis:
In a massive multiple-input multiple-output (MIMO) system, a large number of receiving antennas at the base station can simultaneously serve multiple users. Linear detectors can achieve optimal performance but require large dimensional matrix inversion, which requires a large number of arithmetic operations. Several low complexity solutions are reported in the literature. In this work, we have presented an improved two-dimensional double successive projection (I2D-DSP) algorithm for massive MIMO detection. Simulation results show that the proposed detector performs better than the conventional 2D-DSP algorithm at a lower complexity. The performance under channel correlation also improves with the I2D-DSP scheme. We further developed a soft information generation algorithm to reduce the number of magnitude comparisons. The proposed soft symbol generation method uses real domain operation and can reduce almost 90% flops and magnitude comparisons.
Źródło:
International Journal of Electronics and Telecommunications; 2023, 69, 1; 139--146
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
FPGA Implementation of Sphere Detector for Spatial Multiplexing MIMO System
Autorzy:
Mohamed, Asma
Zekry, Abdel Halim
Ibrahim, Reem
Powiązania:
https://bibliotekanauki.pl/articles/963839.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multiple input multiple output (MIMO)
Spatial Multiplexing(SM)
zero-forcing (ZF)
Minimum Mean Square Estimator (MMSE)
Sorted QR Decomposition (SQRD)
Sphere Decoder (SD)
Opis:
Multiple Input Multiple Output (MIMO (techniques use multiple antennas at both transmitter and receiver for increasing the channel reliability and enhancing the spectral efficiency of wireless communication system.MIMO Spatial Multiplexing (SM) is a technology that can increase the channel capacity without additional spectral resources. The implementation of MIMO detection techniques become a difficult mission as the computational complexity increases with the number of transmitting antenna and constellation size. So designing detection techniques that can recover transmitted signals from Spatial Multiplexing (SM) MIMO with reduced complexity and high performance is challenging. In this survey, the general model of MIMO communication system is presented in addition to multiple MIMO Spatial Multiplexing (SM) detection techniques. These detection techniques are divided into different categories, such as linear detection, Non-linear detection and tree-search detection. Detailed discussions on the advantages and disadvantages of each detection algorithm are introduced. Hardware implementation of Sphere Decoder (SD) algorithm using VHDL/FPGA is also presented.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 2; 245-252
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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