2017 Fiscal Year Annual Research Report
LatticeNET: Practical Lattice Codes for Cooperative Wireless Networks(Fostering Joint International Research)
| Project/Area Number |
15KK0005
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
KURKOSKI Brian 北陸先端科学技術大学院大学, 先端科学技術研究科, 准教授 (80444123)
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| Project Period (FY) |
2016 – 2017
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| Keywords | lattices / coding theory / information theory / wireless communications / data storage |
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| Outline of Annual Research Achievements |
During FY 2017 the grant was used to support collaborative research at four universities listed below. Seminars were given at respective universities to disseminate the results of the Kiban-B project, and to stimulate further research in this area. This led to the identification of new topics of research in lattices for communications, and applications to data storage, listed below. This should lead to publication of joint papers research in following FYs.
Oregon State University (USA). Information theoretic quantization quantization based on backward channels, leading to a general theory of channel quantization. Codes designed for the Lee metric, particularly zero-error capacity codes, can be applied to the design of lattices decoded using the L1 norm. This has practical applications to data storage and high data-rate communications with non-Gaussian noise models.
Technion (Israel). Researchers here are developing DNA storage, and their technique is well suited for: 1. lattice coding to provide system reliability 2. binomial channel models to find the DNA storage capacity. This second topic is a three-way collaboration including the University of California Los Angeles.
Monash University (Australia). A new method for decoding low-density lattice codes (LDLCs) was jointly discovered, and will lead to a significantly reduced decoding complexity.
Texas A&M University (USA). Construction D' is promising for wireless communications, but useful lattice decoding algorithms are lacking. The collaboration led to a practical method for decoding Construction D' lattices.
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