The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste artigo, é proposta uma coordenação hierárquica de interferência que suprime a interferência intra e inter-cluster (ICI) em redes sem fio agrupadas. Supondo que os transmissores e receptores estejam equipados com múltiplas antenas e que as informações completas do estado do canal sejam compartilhadas entre todos os transmissores dentro do mesmo cluster, é realizado o alinhamento de interferência (IA) que usa nulos para suprimir a interferência intra-cluster. Para mitigação de ICI, propomos um pré-codificador de direção nula projetado no espaço nulo de um autovetor principal dos canais ICI correlacionados, o que elimina uma quantidade significativa de potência de ICI dada a troca de geometria de cluster entre clusters vizinhos. No entanto, como o ICI é insignificante para o sistema em que a distância entre os clusters é grande o suficiente, o esquema proposto pode não melhorar o desempenho do sistema em comparação com o esquema IA puro que explora todos os graus de liberdade espaciais (DoF) para aumentar o ganho de multiplexação sem ICI. mitigação. Para o gerenciamento eficiente de interferências entre intra e inter-cluster, analisamos o critério de decisão que fornece uma seleção adaptativa do modo de transmissão entre IA pura e proposta de redução de ICI em determinados ambientes de rede. Além disso, um algoritmo de comutação de modo de transmissão baseado em baixa complexidade computacional é proposto para redes distribuídas irregularmente.
Sungyoon CHO
Samsung Electronics
Jeongwook SEO
Namseoul University
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Sungyoon CHO, Jeongwook SEO, "Adaptive Transmission Mode Switching in Interference Alignment Based Clustered Wireless Network" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 4, pp. 485-494, April 2020, doi: 10.1587/transcom.2018EBP3372.
Abstract: In this paper, hierarchical interference coordination is proposed that suppresses both intra- and inter-cluster interference (ICI) in clustered wireless networks. Assuming transmitters and receivers are equipped with multiple antennas and complete channel state information is shared among all transmitters within the same cluster, interference alignment (IA) is performed that uses nulls to suppress intra-cluster interference. For ICI mitigation, we propose a null-steering precoder designed on the nullspace of a principal eigenvector of the correlated ICI channels, which eliminates a significant amount of ICI power given the exchange of cluster geometry between neighboring clusters. However, as ICI is negligible for the system in which the distance between clusters are large enough, the proposed scheme may not improve the system performance compared with the pure IA scheme that exploits all spatial degrees of freedom (DoF) to increase multiplexing gain without ICI mitigation. For the efficient interference management between intra- and inter-cluster, we analyze the decision criterion that provides an adaptive transmission mode selection between pure IA and proposed ICI reduction in given network environments. Moreover, a low computational complexity based transmission mode switching algorithm is proposed for irregularly distributed networks.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3372/_p
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@ARTICLE{e103-b_4_485,
author={Sungyoon CHO, Jeongwook SEO, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Transmission Mode Switching in Interference Alignment Based Clustered Wireless Network},
year={2020},
volume={E103-B},
number={4},
pages={485-494},
abstract={In this paper, hierarchical interference coordination is proposed that suppresses both intra- and inter-cluster interference (ICI) in clustered wireless networks. Assuming transmitters and receivers are equipped with multiple antennas and complete channel state information is shared among all transmitters within the same cluster, interference alignment (IA) is performed that uses nulls to suppress intra-cluster interference. For ICI mitigation, we propose a null-steering precoder designed on the nullspace of a principal eigenvector of the correlated ICI channels, which eliminates a significant amount of ICI power given the exchange of cluster geometry between neighboring clusters. However, as ICI is negligible for the system in which the distance between clusters are large enough, the proposed scheme may not improve the system performance compared with the pure IA scheme that exploits all spatial degrees of freedom (DoF) to increase multiplexing gain without ICI mitigation. For the efficient interference management between intra- and inter-cluster, we analyze the decision criterion that provides an adaptive transmission mode selection between pure IA and proposed ICI reduction in given network environments. Moreover, a low computational complexity based transmission mode switching algorithm is proposed for irregularly distributed networks.},
keywords={},
doi={10.1587/transcom.2018EBP3372},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Adaptive Transmission Mode Switching in Interference Alignment Based Clustered Wireless Network
T2 - IEICE TRANSACTIONS on Communications
SP - 485
EP - 494
AU - Sungyoon CHO
AU - Jeongwook SEO
PY - 2020
DO - 10.1587/transcom.2018EBP3372
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2020
AB - In this paper, hierarchical interference coordination is proposed that suppresses both intra- and inter-cluster interference (ICI) in clustered wireless networks. Assuming transmitters and receivers are equipped with multiple antennas and complete channel state information is shared among all transmitters within the same cluster, interference alignment (IA) is performed that uses nulls to suppress intra-cluster interference. For ICI mitigation, we propose a null-steering precoder designed on the nullspace of a principal eigenvector of the correlated ICI channels, which eliminates a significant amount of ICI power given the exchange of cluster geometry between neighboring clusters. However, as ICI is negligible for the system in which the distance between clusters are large enough, the proposed scheme may not improve the system performance compared with the pure IA scheme that exploits all spatial degrees of freedom (DoF) to increase multiplexing gain without ICI mitigation. For the efficient interference management between intra- and inter-cluster, we analyze the decision criterion that provides an adaptive transmission mode selection between pure IA and proposed ICI reduction in given network environments. Moreover, a low computational complexity based transmission mode switching algorithm is proposed for irregularly distributed networks.
ER -