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Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks. / Munir, H.; Pervaiz, H.; Hassan, S.A. et al.
In: IEEE Wireless Communications, Vol. 25, No. 4, 08.2018, p. 32-39.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Munir, H, Pervaiz, H, Hassan, SA, Musavian, L, Ni, Q, Imran, MA & Tafazolli, R 2018, 'Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks', IEEE Wireless Communications, vol. 25, no. 4, pp. 32-39. https://doi.org/10.1109/MWC.2018.1700400

APA

Munir, H., Pervaiz, H., Hassan, S. A., Musavian, L., Ni, Q., Imran, M. A., & Tafazolli, R. (2018). Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks. IEEE Wireless Communications, 25(4), 32-39. https://doi.org/10.1109/MWC.2018.1700400

Vancouver

Munir H, Pervaiz H, Hassan SA, Musavian L, Ni Q, Imran MA et al. Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks. IEEE Wireless Communications. 2018 Aug;25(4):32-39. doi: 10.1109/MWC.2018.1700400

Author

Munir, H. ; Pervaiz, H. ; Hassan, S.A. et al. / Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks. In: IEEE Wireless Communications. 2018 ; Vol. 25, No. 4. pp. 32-39.

Bibtex

@article{bb6a9d25936449a880b2995c88cbffb5,
title = "Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks",
abstract = "Ultra densification in HetNets and the advent of mmWave technology for 5G networks have led researchers to redesign the existing resource management techniques. A salient feature of this activity is to accentuate the importance of CI resource allocation schemes offering less complexity and overhead. This article overviews the existing literature on resource management in mmWave-based Het- Nets with a special emphasis on CI techniques and further proposes frameworks that ensure quality of service requirements for all network entities. More specifically, HetNets with mmWave-based small cells pose different challenges compared to an all-microwave- based system. Similarly, various modes of small cell access policies and operations of base stations in dual mode, that is, operating both mmWave and microwave links simultaneously, offer unique challenges to resource allocation. Furthermore, the use of multi-slope path loss models becomes inevitable for analysis due to irregular cell patterns and blocking characteristics of mmWave communications. This article amalgamates the unique challenges posed because of the aforementioned recent developments and proposes various CI-based techniques, including game theory and optimization routines, to perform efficient resource management. {\textcopyright} 2002-2012 IEEE.",
keywords = "5G mobile communication systems, Cells, Cytology, Game theory, Millimeter waves, Natural resources management, Quality of service, Intelligent techniques, Mm-wave Communications, Mm-wave technology, Optimization routine, Resource allocation schemes, Resource management, Resource management techniques, Small cell Networks, Resource allocation",
author = "H. Munir and H. Pervaiz and S.A. Hassan and L. Musavian and Q. Ni and M.A. Imran and R. Tafazolli",
year = "2018",
month = aug,
doi = "10.1109/MWC.2018.1700400",
language = "English",
volume = "25",
pages = "32--39",
journal = "IEEE Wireless Communications",
issn = "1536-1284",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks

AU - Munir, H.

AU - Pervaiz, H.

AU - Hassan, S.A.

AU - Musavian, L.

AU - Ni, Q.

AU - Imran, M.A.

AU - Tafazolli, R.

PY - 2018/8

Y1 - 2018/8

N2 - Ultra densification in HetNets and the advent of mmWave technology for 5G networks have led researchers to redesign the existing resource management techniques. A salient feature of this activity is to accentuate the importance of CI resource allocation schemes offering less complexity and overhead. This article overviews the existing literature on resource management in mmWave-based Het- Nets with a special emphasis on CI techniques and further proposes frameworks that ensure quality of service requirements for all network entities. More specifically, HetNets with mmWave-based small cells pose different challenges compared to an all-microwave- based system. Similarly, various modes of small cell access policies and operations of base stations in dual mode, that is, operating both mmWave and microwave links simultaneously, offer unique challenges to resource allocation. Furthermore, the use of multi-slope path loss models becomes inevitable for analysis due to irregular cell patterns and blocking characteristics of mmWave communications. This article amalgamates the unique challenges posed because of the aforementioned recent developments and proposes various CI-based techniques, including game theory and optimization routines, to perform efficient resource management. © 2002-2012 IEEE.

AB - Ultra densification in HetNets and the advent of mmWave technology for 5G networks have led researchers to redesign the existing resource management techniques. A salient feature of this activity is to accentuate the importance of CI resource allocation schemes offering less complexity and overhead. This article overviews the existing literature on resource management in mmWave-based Het- Nets with a special emphasis on CI techniques and further proposes frameworks that ensure quality of service requirements for all network entities. More specifically, HetNets with mmWave-based small cells pose different challenges compared to an all-microwave- based system. Similarly, various modes of small cell access policies and operations of base stations in dual mode, that is, operating both mmWave and microwave links simultaneously, offer unique challenges to resource allocation. Furthermore, the use of multi-slope path loss models becomes inevitable for analysis due to irregular cell patterns and blocking characteristics of mmWave communications. This article amalgamates the unique challenges posed because of the aforementioned recent developments and proposes various CI-based techniques, including game theory and optimization routines, to perform efficient resource management. © 2002-2012 IEEE.

KW - 5G mobile communication systems

KW - Cells

KW - Cytology

KW - Game theory

KW - Millimeter waves

KW - Natural resources management

KW - Quality of service

KW - Intelligent techniques

KW - Mm-wave Communications

KW - Mm-wave technology

KW - Optimization routine

KW - Resource allocation schemes

KW - Resource management

KW - Resource management techniques

KW - Small cell Networks

KW - Resource allocation

U2 - 10.1109/MWC.2018.1700400

DO - 10.1109/MWC.2018.1700400

M3 - Journal article

VL - 25

SP - 32

EP - 39

JO - IEEE Wireless Communications

JF - IEEE Wireless Communications

SN - 1536-1284

IS - 4

ER -