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Comparison of four different methods for massive MIMO detection and VLSI design
by
Likan, Liu
in
detection
/ massive MIMO
/ Mathematical analysis
/ Microprocessors
/ Physics
/ Very large scale integration
/ VLSI architecture
2023
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Comparison of four different methods for massive MIMO detection and VLSI design
by
Likan, Liu
in
detection
/ massive MIMO
/ Mathematical analysis
/ Microprocessors
/ Physics
/ Very large scale integration
/ VLSI architecture
2023
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Comparison of four different methods for massive MIMO detection and VLSI design
Journal Article
Comparison of four different methods for massive MIMO detection and VLSI design
2023
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Overview
The use of Multiple-input-multiple-output (MIMO) technology has proven to be successful. To make MIMO more accessible, it is necessary to simplify the processor operation. This paper proposes four approaches for achieving this goal: symmetric successive overrelaxation (SSOR), Gauss-Seidel (GS), approximate matrix inversion based on Neumann series, and Conjugate Gradients. The performance and VLSI of these methods are compared to determine their effectiveness.
Publisher
IOP Publishing
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