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Cell Association in Dense Heterogeneous Cellular Networks

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Cell Association in Dense Heterogeneous Cellular Networks. / Khoshkholgh, Mohammad G.; Navaie, Keivan; Shin, Kang G. et al.

In: IEEE Transactions on Mobile Computing, Vol. 17, No. 5, 01.05.2018, p. 1019-1032.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Khoshkholgh, MG, Navaie, K, Shin, KG & C. M. Leung, V 2018, 'Cell Association in Dense Heterogeneous Cellular Networks', IEEE Transactions on Mobile Computing, vol. 17, no. 5, pp. 1019-1032. https://doi.org/10.1109/TMC.2017.2750142

APA

Khoshkholgh, M. G., Navaie, K., Shin, K. G., & C. M. Leung, V. (2018). Cell Association in Dense Heterogeneous Cellular Networks. IEEE Transactions on Mobile Computing, 17(5), 1019-1032. https://doi.org/10.1109/TMC.2017.2750142

Vancouver

Khoshkholgh MG, Navaie K, Shin KG, C. M. Leung V. Cell Association in Dense Heterogeneous Cellular Networks. IEEE Transactions on Mobile Computing. 2018 May 1;17(5):1019-1032. Epub 2017 Sep 8. doi: 10.1109/TMC.2017.2750142

Author

Khoshkholgh, Mohammad G. ; Navaie, Keivan ; Shin, Kang G. et al. / Cell Association in Dense Heterogeneous Cellular Networks. In: IEEE Transactions on Mobile Computing. 2018 ; Vol. 17, No. 5. pp. 1019-1032.

Bibtex

@article{18ab82090e2e4249a78d04aa5e55c8c0,
title = "Cell Association in Dense Heterogeneous Cellular Networks",
abstract = "IEEE Coverage evaluation of heterogeneous multi-tier cellular networks (HetNets) is often based on simplifying assumptions on cell association (CA): the resource required by, and practical limitations of pilot measurements are overlooked. Also, the base station (BS) providing the strongest signal-to-interference ratio among all BSs is always the serving BS (an ideal CA (iCA)). Consequently, the resultant analysis falls short of characterizing HetNets & #x0027; coverage in practical settings. We therefore propose an analytical framework for modeling a practical CA (pCA) by considering pilot measurement, pilot sensitivity at the users, and the number of pilot measurements, $K_P$ . Using tools from stochastic geometry, we obtain the coverage with pCA in both Rayleigh and Nakagami environments. We propose an algorithm to obtain the optimal $K_P$ and its partitioning among the BSs in different tiers that maximizes the coverage. Our analysis provides key insights in designing dense HetNets. For dense networks, scale invariance achievable under iCA is shown unsustained with pCA. Also, dense HetNets are pilot-neutral, and hence their performance is not affected by pilot sensitivity. Our extensive simulations confirm the accuracy of our analysis and the proposed algorithm, and demonstrate the effect of pCA in comparison with iCA.",
author = "Khoshkholgh, {Mohammad G.} and Keivan Navaie and Shin, {Kang G.} and {C. M. Leung}, Victor",
note = "{\textcopyright}2017 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 = may,
day = "1",
doi = "10.1109/TMC.2017.2750142",
language = "English",
volume = "17",
pages = "1019--1032",
journal = "IEEE Transactions on Mobile Computing",
issn = "1536-1233",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Cell Association in Dense Heterogeneous Cellular Networks

AU - Khoshkholgh, Mohammad G.

AU - Navaie, Keivan

AU - Shin, Kang G.

AU - C. M. Leung, Victor

N1 - ©2017 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 - 2018/5/1

Y1 - 2018/5/1

N2 - IEEE Coverage evaluation of heterogeneous multi-tier cellular networks (HetNets) is often based on simplifying assumptions on cell association (CA): the resource required by, and practical limitations of pilot measurements are overlooked. Also, the base station (BS) providing the strongest signal-to-interference ratio among all BSs is always the serving BS (an ideal CA (iCA)). Consequently, the resultant analysis falls short of characterizing HetNets & #x0027; coverage in practical settings. We therefore propose an analytical framework for modeling a practical CA (pCA) by considering pilot measurement, pilot sensitivity at the users, and the number of pilot measurements, $K_P$ . Using tools from stochastic geometry, we obtain the coverage with pCA in both Rayleigh and Nakagami environments. We propose an algorithm to obtain the optimal $K_P$ and its partitioning among the BSs in different tiers that maximizes the coverage. Our analysis provides key insights in designing dense HetNets. For dense networks, scale invariance achievable under iCA is shown unsustained with pCA. Also, dense HetNets are pilot-neutral, and hence their performance is not affected by pilot sensitivity. Our extensive simulations confirm the accuracy of our analysis and the proposed algorithm, and demonstrate the effect of pCA in comparison with iCA.

AB - IEEE Coverage evaluation of heterogeneous multi-tier cellular networks (HetNets) is often based on simplifying assumptions on cell association (CA): the resource required by, and practical limitations of pilot measurements are overlooked. Also, the base station (BS) providing the strongest signal-to-interference ratio among all BSs is always the serving BS (an ideal CA (iCA)). Consequently, the resultant analysis falls short of characterizing HetNets & #x0027; coverage in practical settings. We therefore propose an analytical framework for modeling a practical CA (pCA) by considering pilot measurement, pilot sensitivity at the users, and the number of pilot measurements, $K_P$ . Using tools from stochastic geometry, we obtain the coverage with pCA in both Rayleigh and Nakagami environments. We propose an algorithm to obtain the optimal $K_P$ and its partitioning among the BSs in different tiers that maximizes the coverage. Our analysis provides key insights in designing dense HetNets. For dense networks, scale invariance achievable under iCA is shown unsustained with pCA. Also, dense HetNets are pilot-neutral, and hence their performance is not affected by pilot sensitivity. Our extensive simulations confirm the accuracy of our analysis and the proposed algorithm, and demonstrate the effect of pCA in comparison with iCA.

U2 - 10.1109/TMC.2017.2750142

DO - 10.1109/TMC.2017.2750142

M3 - Journal article

VL - 17

SP - 1019

EP - 1032

JO - IEEE Transactions on Mobile Computing

JF - IEEE Transactions on Mobile Computing

SN - 1536-1233

IS - 5

ER -