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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 클러스터 무선 네트워크에서 클러스터 내 간섭과 클러스터 간 간섭(ICI)을 모두 억제하는 계층적 간섭 조정을 제안합니다. 송신기와 수신기에 다중 안테나가 장착되어 있고 완전한 채널 상태 정보가 동일한 클러스터 내의 모든 송신기 간에 공유된다고 가정하면 클러스터 내 간섭을 억제하기 위해 널을 사용하는 간섭 정렬(IA)이 수행됩니다. ICI 완화를 위해 우리는 상관된 ICI 채널의 주요 고유 벡터의 널 공간에 설계된 널 스티어링 프리코더를 제안합니다. 이는 이웃 클러스터 간의 클러스터 기하학적 교환을 고려할 때 상당한 양의 ICI 전력을 제거합니다. 그러나 클러스터 간 거리가 충분히 큰 시스템에서는 ICI가 무시될 수 있기 때문에 제안한 방식은 ICI 없이 다중화 이득을 높이기 위해 모든 공간 자유도(DoF)를 활용하는 순수 IA 방식에 비해 시스템 성능을 향상시키지 못할 수 있습니다. 완화. 클러스터 내 및 클러스터 간 효율적인 간섭 관리를 위해 주어진 네트워크 환경에서 순수 IA와 제안된 ICI 감소 간의 적응형 전송 모드 선택을 제공하는 결정 기준을 분석합니다. 또한, 불규칙하게 분산된 네트워크에 대해 낮은 계산 복잡도 기반의 전송 모드 전환 알고리즘이 제안되었습니다.
Sungyoon CHO
Samsung Electronics
Jeongwook SEO
Namseoul University
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부
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
부
@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},}
부
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 -