a parallelized implementation of turbo decoding based on network on chip multi-core processor
Clicks: 194
ID: 167239
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
194 views
34 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #21 of 41 articles by views in communications in statistics: simulation and computation
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
With the evolution of wireless communication systems, it is increasingly difficult for Application Specific Integrated
Circuit (ASIC) solutions to meet the daily changing requirements. A network on chip (NOC) multi-core processor based
on message-passing programming model is designed to implement the LTE-A turbo decoder in a parallel mode using
pure Software Defined Radio (SDR) approach. The NOC is well balanced between the hardware and software design
with a high degree of programmability and re-configurability. According to the features of the NOC multi-core processor,
the implementation of turbo decoder is optimized to reduce the computational complexity and to increase the
parallelization. Several aspects of turbo decoder are investigated in software radio approach rather than hardware.
Compared with the results of the software simulation and the Field Programmable Gate Array (FPGA) demonstration, the
NOC multicore processor is flexible to realize the proposed turbo decoding algorithm. In addition, our solution has
comparable performance with other published ones.
| Reference Key |
zhang2014journala
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Chaolong ZHANG;Zhekun HU;Jie Chen |
| Journal | communications in statistics: simulation and computation |
| Year | 2014 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.