On the Analysis of Software-Defined Radio with RISC-V Vector Architecture 


Vol. 50,  No. 11, pp. 1780-1787, Nov.  2025
10.7840/kics.2025.50.11.1780


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  Abstract

Software-defined radio (SDR) architecture is a baseband architecture based on general-purpose processors, offering greater flexibility than the conventional baseband architecture by allowing various algorithms to be processed in software-level. While SDRs provide a flexible alternative to traditional baseband architectures, most of them are built on conventional x86 or ARM-based processors and thus lack the customizability needed for optimal performance in wireless communication. This paper analyzes the performance of an SDR architecture implemented on a vector-extended RISC-V core architecture. We designed a vector-extended RISC-V core architecture by adding various vector-level operators to the open-source RISC-V core architecture. Furthermore, we developed an optimized computing kernel for the maximum-ratio transmission (MRT) precoding function using the vector-level instructions. Simulation results showed that the vector-extended SDR architecture can achieve up to 17.1 times higher throughput than the conventional SDR architecture, validating the viability and feasibility of the SDR architecture with the vector-extended RISC-V core architecture.

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[IEEE Style]

S. Moon and H. Lee, "On the Analysis of Software-Defined Radio with RISC-V Vector Architecture," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 11, pp. 1780-1787, 2025. DOI: 10.7840/kics.2025.50.11.1780.

[ACM Style]

Seungsik Moon and Hyeongtaek Lee. 2025. On the Analysis of Software-Defined Radio with RISC-V Vector Architecture. The Journal of Korean Institute of Communications and Information Sciences, 50, 11, (2025), 1780-1787. DOI: 10.7840/kics.2025.50.11.1780.

[KICS Style]

Seungsik Moon and Hyeongtaek Lee, "On the Analysis of Software-Defined Radio with RISC-V Vector Architecture," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 11, pp. 1780-1787, 11. 2025. (https://doi.org/10.7840/kics.2025.50.11.1780)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880