Opportunistic Scheduling for Hybrid Network Coding and Cooperative Relaying Techniques in Wireless Networks
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- SHAN Lin
- Graduate School of Informatics, Kyoto University
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- MURATA Hidekazu
- Graduate School of Informatics, Kyoto University
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- AÏSSA Sonia
- INRS-EMT, University of Québec
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- YOSHIDA Susumu
- Graduate School of Informatics, Kyoto University
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Abstract
With the purpose of improving the performance of next generation wireless networks, cooperative relaying (CoR) and network cod- ing (NC) are promising techniques. The number of time slots required for NC in bidirectional transmission is less than that required for CoR, and hence, NC can achieve higher throughput performance than CoR. However, the disadvantage of NC is that asymmetric traffic ratio conditions might cause a significant decrease in the bidirectional throughput. In contrast, CoR is robust to asymmetric traffic ratio conditions. In this paper, in order to improve the throughput of NC even under asymmetric traffic ratio conditions, we propose an opportunistic scheduling scheme for hybrid NC and CoR. In the proposed scheduling scheme, the transmission protocol with best throughput performance can be adaptively selected based on instantaneous channel state information. Computer simulation results reveal that the proposed scheduling scheme not only achieve higher throughput than the conventional scheduling scheme but is also robust against asymmetric traffic ratio conditions. By adjusting the scheduler's parameter, the proposed scheduling scheme can provide a tradeoff between the throughput and the traffic ratio. Moreover, in certain cases, maximizing the throughput of NC and guaranteeing the offered traffic ratio can be achieved at the same time.
Journal
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- IEICE Transactions on Communications
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IEICE Transactions on Communications E95.B (5), 1751-1760, 2012
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1390001204376541056
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- NII Article ID
- 10030940104
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- NII Book ID
- AA10826261
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- BIBCODE
- 2012IEITC..95.1751S
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- ISSN
- 17451345
- 09168516
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- HANDLE
- 2433/166332
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- Text Lang
- en
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- Data Source
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- JaLC
- IRDB
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed