Research output per year
Research output per year
Mohammad Attari, Lucas Ferreira, Liang Liu, Steffen Malkowsky
Research output: Contribution to journal › Article › peer-review
This paper presents an implementation for a baseband massive multiple-input multiple-output (MIMO) application-specific instruction set processor (ASIP). The ASIP is geared with vector processing capabilities in the form of single instruction multiple data (SIMD), and furthermore exploits instruction level parallelism by employing a very large instruction word (VLIW) architecture. Additionally, a systolic array is built into the pipeline which is tuned to speed up matrix calculations. A parallel memory subsystem and stand-alone accelerators are integrated into the ASIP architecture in order to meet the processing requirement. The processor is synthesized in 22FD-SOI technology running at a clock frequency of 800 . The system achieves a maximum detection throughput of 0.75 Gb/s/mm<inline-formula> <tex-math notation="LaTeX">$^2$</tex-math> </inline-formula> for a <inline-formula> <tex-math notation="LaTeX">$128\times 8$</tex-math> </inline-formula> massive MIMO system.
Original language | English |
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Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | IEEE Transactions on Circuits and Systems I: Regular Papers |
DOIs | |
Publication status | Published - 2022 |
Research output: Thesis › Doctoral Thesis (compilation)