| 研究課題/領域番号 |
25289113
|
|---|
| 研究機関 | 北陸先端科学技術大学院大学 |
|---|
研究代表者 |
Khoirul Anwar 北陸先端科学技術大学院大学, 情報科学研究科, 助教 (20535372)
|
|---|
| 研究分担者 |
松本 正 北陸先端科学技術大学院大学, 情報科学研究科, 教授 (40452114)
楫 勇一 奈良先端科学技術大学院大学, 情報科学研究科, 准教授 (70263431)
KURKOSKI Brian 北陸先端科学技術大学院大学, 情報科学研究科, 准教授 (80444123)
|
|---|
| 研究期間 (年度) |
2013-04-01 – 2017-03-31
|
| キーワード | 情報通信工学 / 情報理論 / 無線通信 / 符号理論 |
|---|
| 研究実績の概要 |
The goal of this STAR-CODE project is to create efficient communication technologies for multiterminal nodes based on recent advances in network information theory and coding theory, where the network itself express a structure of coding schemes. In this last year report, we finally achieved this goal and obtained very significant results, which are expected to be applicable in 5G and 6G systems, satellite systems and disaster areas emergency networks.
In summary, the results contributions in this final year are: (1) new network capacity bound when side information is available, (2) new network capacity bound when the number of relay is increased, (3) new decoding technique for multiple relays, (4) new error-floor analysis with finite-length setting for low latency guarantee, (5) new analysis of multiterminal networks under fading channels, and (6) optimal degree distribution and power minimization under cooperative decoding. Our main journals are as the results of this year are: 1. Khoirul Anwar, "Graph-based Decoding for Super-Dense Multiway Multirelay Networks and Its Finite-Length Analysis", IEICE Special Issue on Information Theory and Its Applications (Submitted on Jan. 2016). 2. Ardimas Andi Purwita and Khoirul Anwar, "Massive Multiway Relay Networks Applying Coded Random Access", IEEE Transaction on Communications (Conditionally accepted).
|
| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
We are really very happy with our achievement this year. The last work package (WP) is the WP5, which is the optimizations. Regarding this task, we have 2 publications in a conference (2 papers) and journal (2 paper, conditionally accepted). We have also many papers supporting the main papers above. The following results are beyond the initially plan, which were recognized at this final year.
B. We obtained best degree distribution for general multiuser detection (MUD) capability beyond K=2. This is really an excellent result.
C. Furthermore, we have successfully found the theoretical new network capacity bound and decoding technique to achieve it when side information is available between the neighboring users.
D. We have also found the theoretical network capacity bound when the relay is increased (multiple relays) and their decoding technique to achieve the bound.
E. We have also found a systematic way to evaluate theoretical error-floor analysis using stopping sets with single or multiple relays.
|
| 今後の研究の推進方策 |
The results of this FY2015 are the most important results among other years. We are considering to extend the results to:
1. We plan to make analysis on finite-length under block Rayleigh fading channels.
2. Super-dense network with priority traffic, such as traffic for ambulance and police should be higher than others.
3. Super-dense networks exploiting Raptor coding. Raptor codes are important because it provide more error protection, which are based on LPDC or LDGM codes.
|
| 次年度使用額が生じた理由 |
We have the following papers to be paid using this KAKENHI Budget, because the conferences are excellent and exactly match with the project:
1. IEEE VTC2016-Spring, May 15-18, 2016, 2. IEEE ICC2016, May 23-27, 2016.
3. IEICE Journal on Information Theory and Its application (planned to be published on Dec 2016), 4. IEEE Transaction on Communications (conditionally accepted), in the case of open access.
|
| 次年度使用額の使用計画 |
We will use the budget for those papers above, especially for registration, transportation fee, and publication (for open access journal).
|
| 備考 |
The steering committee for 2016 is under negotiation since it is being combined with another KAKENHI project.
|
