2012 Fiscal Year Final Research Report
COoperative DEcision making based on Slepian-Wolf/multiple Access wireless Networks
| Project/Area Number |
22560367
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Communication/Network engineering
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
KHOIRUL Anwar 北陸先端科学技術大学院大学, 情報研究科, 助教 (20535372)
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| Co-Investigator(Kenkyū-buntansha) |
TADASHI Matsumoto 北陸先端科学技術大学院大学, 情報科学研究科, 教授 (40452114)
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| Project Period (FY) |
2010 – 2012
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| Keywords | ターボ原理 / EXIT解析 / 相関情報源 / 協調通信 / リンク間相関 / 情報理論 / ターボ等化 / ネットワーク符号 |
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| Research Abstract |
In this project, we have successfully estimate and exploit the source correlation in distributed cooperative wireless network to achieve close-limit Slepian-Wolf multiple access channel (SW-MAC) rate region theoretical performance. We found that point very close to (1,1) mutual information of the extrinsic information transfer (EXIT) chart can be reached easily by using memory-1 rate-1 doped accumulator, which make the error-floor invisible (below 10^-7). For broadband transmission, our multiple input multiple output (MIMO) turbo equalizer work very efficiently to approach a performance only about 1 dB away from the theoretical MIMO/SW-MAC limit. Our system also work well even when very simple memory-1 convolutional codes are used. The potential applications are for power limited wireless multi-hops and ad-hoc wireless network, sensor/monitoring networks, where sensor collect the correlated data and transmit it to a common destination (fusion center) with higher spectrum efficiency. The main publications of the project are on IEEE Transaction on Signal Processing, IEEE Communication Letters and some major IEEE international conferences.
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Research Products
(31 results)
