Precoding design for interference suppression in multi-cell multi-user networks
This study focuses on the design of downlink transmission protocols in multi-cell multi-user mobile networks, where co-channel interference has been recognised as a challenging issue particularly for the users close to the boundary of cells. The key idea of this study is to jointly apply interferenc...
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| Veröffentlicht in: | IET communications Jg. 8; H. 9; S. 1534 - 1540 |
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| Sprache: | Englisch |
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Stevenage
The Institution of Engineering and Technology
01.06.2014
John Wiley & Sons, Inc |
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| Abstract | This study focuses on the design of downlink transmission protocols in multi-cell multi-user mobile networks, where co-channel interference has been recognised as a challenging issue particularly for the users close to the boundary of cells. The key idea of this study is to jointly apply interference alignment (IA) and pre-cancellation to the addressed scenario, where the former technique can effectively increase the overall system throughput and the latter can significantly boost the diversity gains and reception reliability. To ensure the diversity gains can be achieved with zero-forcing IA, a precoder optimisation scheme is proposed based on the well-known iterative interference leakage minimisation scheme. Both analytic and numerical results have been developed to show the capacity and diversity gains obtained by using the proposed scheme. Besides, the computational complexity of the proposed scheme and the effects of imperfect channel state information on the performance are studied as well. |
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| AbstractList | This study focuses on the design of downlink transmission protocols in multi-cell multi-user mobile networks, where co-channel interference has been recognised as a challenging issue particularly for the users close to the boundary of cells. The key idea of this study is to jointly apply an interference alignment (IA) and pre-cancellation to the addressed scenario, where the former technique can effectively increase the overall system throughput and the latter can significantly boost the diversity gains and reception reliability. To ensure the diversity gains can be achieved with zero-forcing IA, a precoder optimisation scheme is proposed based on the well-known iterative interference leakage minimisation scheme. Both analytic and numerical results have been developed to show the capacity and diversity gains obtained by using the proposed scheme. Besides, the computational complexity of the proposed scheme and the effects of an imperfect channel state information on the performance are studied as well. This study focuses on the design of downlink transmission protocols in multi‐cell multi‐user mobile networks, where co‐channel interference has been recognised as a challenging issue particularly for the users close to the boundary of cells. The key idea of this study is to jointly apply interference alignment (IA) and pre‐cancellation to the addressed scenario, where the former technique can effectively increase the overall system throughput and the latter can significantly boost the diversity gains and reception reliability. To ensure the diversity gains can be achieved with zero‐forcing IA, a precoder optimisation scheme is proposed based on the well‐known iterative interference leakage minimisation scheme. Both analytic and numerical results have been developed to show the capacity and diversity gains obtained by using the proposed scheme. Besides, the computational complexity of the proposed scheme and the effects of imperfect channel state information on the performance are studied as well. |
| Author | Hao, Li Fan, Pingzhi Liu, Heng Ding, Zhiguo |
| Author_xml | – sequence: 1 givenname: Heng surname: Liu fullname: Liu, Heng email: swjtu_hengliu@163.com organization: 1Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, People's Republic of China – sequence: 2 givenname: Zhiguo surname: Ding fullname: Ding, Zhiguo organization: 2School of Electrical, Electronic, and Computer Engineering, Newcastle University, NE1 7RU, UK – sequence: 3 givenname: Pingzhi surname: Fan fullname: Fan, Pingzhi organization: 1Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, People's Republic of China – sequence: 4 givenname: Li surname: Hao fullname: Hao, Li organization: 1Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, People's Republic of China |
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| Cites_doi | 10.1109/TVT.2007.914051 10.1109/ICASSP.2011.5947104 10.1109/ALLERTON.2010.5706909 10.1049/iet-com.2012.0668 10.1109/ICCW.2009.5208018 10.1109/TIT.2011.2120390 10.1109/GLOCOM.2008.ECP.817 10.1049/iet-com.2012.0372 10.1049/iet-com.2012.0467 10.1109/TWC.2004.830852 10.1109/GLOCOM.2011.6134148 10.1049/iet-com.2009.0155 10.1109/TWC.2011.040511.100519 10.1109/TIT.2008.926344 10.1109/TIT.2008.2006426 10.1109/TWC.2011.120810.101097 |
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| DOI | 10.1049/iet-com.2013.0757 |
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| Keywords | iterative methods cells boundary channel coding channel capacity channel state information precoding communication complexity multiuser channels precoding design optimisation reception reliability interference alignment system throughput telecommunication network reliability protocols interference suppression diversity reception zero forcing IA precancellation diversity gain cochannel interference multicell multiuser mobile network cochannel interference suppression downlink transmission protocol precoder optimisation scheme iterative interference leakage minimisation scheme minimisation cellular radio computational complexity |
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| Snippet | This study focuses on the design of downlink transmission protocols in multi-cell multi-user mobile networks, where co-channel interference has been recognised... This study focuses on the design of downlink transmission protocols in multi‐cell multi‐user mobile networks, where co‐channel interference has been recognised... |
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| SubjectTerms | Boundaries cells boundary cellular radio channel capacity channel coding channel state information Channels cochannel interference cochannel interference suppression communication complexity computational complexity Design engineering diversity gain diversity reception downlink transmission protocol Gain Interference interference alignment interference suppression iterative interference leakage minimisation scheme iterative methods Mathematical analysis minimisation multicell multiuser mobile network multiuser channels Networks optimisation Optimization precoder optimisation scheme precoding precoding design protocols reception reliability system throughput telecommunication network reliability zero forcing IA precancellation |
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| Title | Precoding design for interference suppression in multi-cell multi-user networks |
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