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Coverage Analysis of Multi-Stream MIMO HetNets with MRC Receivers

Research output: Contribution to journalJournal article

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Coverage Analysis of Multi-Stream MIMO HetNets with MRC Receivers. / Khoshkholgh, Mohammad G.; Navaie, Keivan; Shin, Kang G.; C. M. Leung, Victor.

In: IEEE Transactions on Wireless Communications, Vol. 16, No. 12, 12.2017, p. 7816-7833.

Research output: Contribution to journalJournal article

Harvard

Khoshkholgh, MG, Navaie, K, Shin, KG & C. M. Leung, V 2017, 'Coverage Analysis of Multi-Stream MIMO HetNets with MRC Receivers', IEEE Transactions on Wireless Communications, vol. 16, no. 12, pp. 7816-7833. https://doi.org/10.1109/TWC.2017.2753771

APA

Khoshkholgh, M. G., Navaie, K., Shin, K. G., & C. M. Leung, V. (2017). Coverage Analysis of Multi-Stream MIMO HetNets with MRC Receivers. IEEE Transactions on Wireless Communications, 16(12), 7816-7833. https://doi.org/10.1109/TWC.2017.2753771

Vancouver

Khoshkholgh MG, Navaie K, Shin KG, C. M. Leung V. Coverage Analysis of Multi-Stream MIMO HetNets with MRC Receivers. IEEE Transactions on Wireless Communications. 2017 Dec;16(12):7816-7833. https://doi.org/10.1109/TWC.2017.2753771

Author

Khoshkholgh, Mohammad G. ; Navaie, Keivan ; Shin, Kang G. ; C. M. Leung, Victor. / Coverage Analysis of Multi-Stream MIMO HetNets with MRC Receivers. In: IEEE Transactions on Wireless Communications. 2017 ; Vol. 16, No. 12. pp. 7816-7833.

Bibtex

@article{d4cec72409364a8aa99331837ad09dc3,
title = "Coverage Analysis of Multi-Stream MIMO HetNets with MRC Receivers",
abstract = "Most of current research on the coverage performance of multi-stream MIMO heterogeneous networks (HetNets) has been focusing on a single data-stream. This does not always provide accurate results as our analysis shows the cross-stream correlation due to interference can greatly affect the coverage performance. This paper analyzes the coverage probability in such systems, and studies the impact of cross-stream correlation. Specifically, we focus on the max-SIR cell association policy, and leverage stochastic geometry to study scenarios whereby a receiver is considered in the coverage, if all of its data-streams are successfully decodeable. Assuming open-loop maximum ratio combining (MRC) at receivers, we consider cases where partial channel state information is available at the receiver. We then obtain an upper-bound on the coverage and formulate crossstream SIR correlation. We further show that approximating such systems based on fully-correlated (non-correlated) datastreams, results in a slight underestimation (substantial overestimation) of the coverage performance. Our results provide insights on the multiplexing regimes where densification improves the coverage performance and spectral efficiency. We also compare MRC with more complex zero-forcing receiver and provide quantitative insights on the design trade-offs. Our analysis is validated via extensive simulations.",
author = "Khoshkholgh, {Mohammad G.} and Keivan Navaie and Shin, {Kang G.} and {C. M. Leung}, Victor",
note = "{\circledC}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 = "2017",
month = "12",
doi = "10.1109/TWC.2017.2753771",
language = "English",
volume = "16",
pages = "7816--7833",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "12",

}

RIS

TY - JOUR

T1 - Coverage Analysis of Multi-Stream MIMO HetNets with MRC Receivers

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 - 2017/12

Y1 - 2017/12

N2 - Most of current research on the coverage performance of multi-stream MIMO heterogeneous networks (HetNets) has been focusing on a single data-stream. This does not always provide accurate results as our analysis shows the cross-stream correlation due to interference can greatly affect the coverage performance. This paper analyzes the coverage probability in such systems, and studies the impact of cross-stream correlation. Specifically, we focus on the max-SIR cell association policy, and leverage stochastic geometry to study scenarios whereby a receiver is considered in the coverage, if all of its data-streams are successfully decodeable. Assuming open-loop maximum ratio combining (MRC) at receivers, we consider cases where partial channel state information is available at the receiver. We then obtain an upper-bound on the coverage and formulate crossstream SIR correlation. We further show that approximating such systems based on fully-correlated (non-correlated) datastreams, results in a slight underestimation (substantial overestimation) of the coverage performance. Our results provide insights on the multiplexing regimes where densification improves the coverage performance and spectral efficiency. We also compare MRC with more complex zero-forcing receiver and provide quantitative insights on the design trade-offs. Our analysis is validated via extensive simulations.

AB - Most of current research on the coverage performance of multi-stream MIMO heterogeneous networks (HetNets) has been focusing on a single data-stream. This does not always provide accurate results as our analysis shows the cross-stream correlation due to interference can greatly affect the coverage performance. This paper analyzes the coverage probability in such systems, and studies the impact of cross-stream correlation. Specifically, we focus on the max-SIR cell association policy, and leverage stochastic geometry to study scenarios whereby a receiver is considered in the coverage, if all of its data-streams are successfully decodeable. Assuming open-loop maximum ratio combining (MRC) at receivers, we consider cases where partial channel state information is available at the receiver. We then obtain an upper-bound on the coverage and formulate crossstream SIR correlation. We further show that approximating such systems based on fully-correlated (non-correlated) datastreams, results in a slight underestimation (substantial overestimation) of the coverage performance. Our results provide insights on the multiplexing regimes where densification improves the coverage performance and spectral efficiency. We also compare MRC with more complex zero-forcing receiver and provide quantitative insights on the design trade-offs. Our analysis is validated via extensive simulations.

U2 - 10.1109/TWC.2017.2753771

DO - 10.1109/TWC.2017.2753771

M3 - Journal article

VL - 16

SP - 7816

EP - 7833

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 12

ER -