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Joint Interference Management in Ultra-Dense Small Cell Networks: A Multi-Domain Coordination Perspective

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Joint Interference Management in Ultra-Dense Small Cell Networks: A Multi-Domain Coordination Perspective. / Xiao, Jia; Yang, Chungang; Anpalagan, Alagan et al.
In: IEEE Transactions on Communications, Vol. 66, No. 11, 11.2018, p. 5470 - 5481.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Xiao, J, Yang, C, Anpalagan, A, Ni, Q & Guizani, M 2018, 'Joint Interference Management in Ultra-Dense Small Cell Networks: A Multi-Domain Coordination Perspective', IEEE Transactions on Communications, vol. 66, no. 11, pp. 5470 - 5481. https://doi.org/10.1109/TCOMM.2018.2851215

APA

Xiao, J., Yang, C., Anpalagan, A., Ni, Q., & Guizani, M. (2018). Joint Interference Management in Ultra-Dense Small Cell Networks: A Multi-Domain Coordination Perspective. IEEE Transactions on Communications, 66(11), 5470 - 5481. https://doi.org/10.1109/TCOMM.2018.2851215

Vancouver

Xiao J, Yang C, Anpalagan A, Ni Q, Guizani M. Joint Interference Management in Ultra-Dense Small Cell Networks: A Multi-Domain Coordination Perspective. IEEE Transactions on Communications. 2018 Nov;66(11):5470 - 5481. Epub 2018 Jun 28. doi: 10.1109/TCOMM.2018.2851215

Author

Xiao, Jia ; Yang, Chungang ; Anpalagan, Alagan et al. / Joint Interference Management in Ultra-Dense Small Cell Networks : A Multi-Domain Coordination Perspective. In: IEEE Transactions on Communications. 2018 ; Vol. 66, No. 11. pp. 5470 - 5481.

Bibtex

@article{65c3a8fedb5340c694d82928e9b81dbe,
title = "Joint Interference Management in Ultra-Dense Small Cell Networks: A Multi-Domain Coordination Perspective",
abstract = "Extensive deployment of heterogeneous small cells in cellular networks results in ultra-dense small cell networks (USNs). USNs have been established as one of the vital networking architectures in the 5G to expand system capacity and augment network coverage. However, intensive deployment of cells results in a complex interference problem. In this paper, we propose a distributed multi-domain interference management scheme among cooperative small cells. The proposed scheme mitigates the interference while optimizing the overall network utility. Additionally, we jointly investigate OFDMA scheduling, TDMA scheduling, interference alignment (IA), and power control. We model small cells{\textquoteright} coordination behavior as an overlapping coalition formation game (OCFG). In this game, each base station can make an autonomous decision and participate in more than one coalition to perform IA and suppress intra-coalition interference. To achieve this goal, we propose a distributed joint interference management (JIM) algorithm. The proposed algorithm allows each small cell base station to self-organize and interact into a stable overlapping coalition structure and reduce interference gradually from multi-domain, thus achieving an optimal tradeoff between costs and benefits. Compared with existing approaches, the proposed JIM algorithm provides appreciable performance improvement in terms of total throughput, which is demonstrated by simulation results.",
author = "Jia Xiao and Chungang Yang and Alagan Anpalagan and Qiang Ni and Mohsen Guizani",
note = "{\textcopyright}2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2018",
month = nov,
doi = "10.1109/TCOMM.2018.2851215",
language = "English",
volume = "66",
pages = "5470 -- 5481",
journal = "IEEE Transactions on Communications",
issn = "0090-6778",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "11",

}

RIS

TY - JOUR

T1 - Joint Interference Management in Ultra-Dense Small Cell Networks

T2 - A Multi-Domain Coordination Perspective

AU - Xiao, Jia

AU - Yang, Chungang

AU - Anpalagan, Alagan

AU - Ni, Qiang

AU - Guizani, Mohsen

N1 - ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2018/11

Y1 - 2018/11

N2 - Extensive deployment of heterogeneous small cells in cellular networks results in ultra-dense small cell networks (USNs). USNs have been established as one of the vital networking architectures in the 5G to expand system capacity and augment network coverage. However, intensive deployment of cells results in a complex interference problem. In this paper, we propose a distributed multi-domain interference management scheme among cooperative small cells. The proposed scheme mitigates the interference while optimizing the overall network utility. Additionally, we jointly investigate OFDMA scheduling, TDMA scheduling, interference alignment (IA), and power control. We model small cells’ coordination behavior as an overlapping coalition formation game (OCFG). In this game, each base station can make an autonomous decision and participate in more than one coalition to perform IA and suppress intra-coalition interference. To achieve this goal, we propose a distributed joint interference management (JIM) algorithm. The proposed algorithm allows each small cell base station to self-organize and interact into a stable overlapping coalition structure and reduce interference gradually from multi-domain, thus achieving an optimal tradeoff between costs and benefits. Compared with existing approaches, the proposed JIM algorithm provides appreciable performance improvement in terms of total throughput, which is demonstrated by simulation results.

AB - Extensive deployment of heterogeneous small cells in cellular networks results in ultra-dense small cell networks (USNs). USNs have been established as one of the vital networking architectures in the 5G to expand system capacity and augment network coverage. However, intensive deployment of cells results in a complex interference problem. In this paper, we propose a distributed multi-domain interference management scheme among cooperative small cells. The proposed scheme mitigates the interference while optimizing the overall network utility. Additionally, we jointly investigate OFDMA scheduling, TDMA scheduling, interference alignment (IA), and power control. We model small cells’ coordination behavior as an overlapping coalition formation game (OCFG). In this game, each base station can make an autonomous decision and participate in more than one coalition to perform IA and suppress intra-coalition interference. To achieve this goal, we propose a distributed joint interference management (JIM) algorithm. The proposed algorithm allows each small cell base station to self-organize and interact into a stable overlapping coalition structure and reduce interference gradually from multi-domain, thus achieving an optimal tradeoff between costs and benefits. Compared with existing approaches, the proposed JIM algorithm provides appreciable performance improvement in terms of total throughput, which is demonstrated by simulation results.

U2 - 10.1109/TCOMM.2018.2851215

DO - 10.1109/TCOMM.2018.2851215

M3 - Journal article

VL - 66

SP - 5470

EP - 5481

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0090-6778

IS - 11

ER -