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  • K-tier MIMO-MRC-VTC

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Coverage performance of MIMO-MRC in heterogeneous networks: a stochastic geometry perspective

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Coverage performance of MIMO-MRC in heterogeneous networks : a stochastic geometry perspective. / Khoshkholgh, Mohammad G.; Navaie, Keivan; Shin, K. G. ; C. M. Leung, Victor.

Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th. IEEE, 2016. p. 1-5.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Khoshkholgh, MG, Navaie, K, Shin, KG & C. M. Leung, V 2016, Coverage performance of MIMO-MRC in heterogeneous networks: a stochastic geometry perspective. in Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th. IEEE, pp. 1-5, IEEE VTC 2016, Montral, Canada, 18/09/16. https://doi.org/10.1109/VTCFall.2016.7880947

APA

Khoshkholgh, M. G., Navaie, K., Shin, K. G., & C. M. Leung, V. (2016). Coverage performance of MIMO-MRC in heterogeneous networks: a stochastic geometry perspective. In Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th (pp. 1-5). IEEE. https://doi.org/10.1109/VTCFall.2016.7880947

Vancouver

Khoshkholgh MG, Navaie K, Shin KG, C. M. Leung V. Coverage performance of MIMO-MRC in heterogeneous networks: a stochastic geometry perspective. In Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th. IEEE. 2016. p. 1-5 https://doi.org/10.1109/VTCFall.2016.7880947

Author

Khoshkholgh, Mohammad G. ; Navaie, Keivan ; Shin, K. G. ; C. M. Leung, Victor. / Coverage performance of MIMO-MRC in heterogeneous networks : a stochastic geometry perspective. Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th. IEEE, 2016. pp. 1-5

Bibtex

@inproceedings{fdee642bcedc4ed1b282adf2fee9db65,
title = "Coverage performance of MIMO-MRC in heterogeneous networks: a stochastic geometry perspective",
abstract = "We study the coverage performance of multi-antenna (MIMO) communications with maximum ratio combining (MRC) at the receiver in heterogeneous networks (HetNets). Our main interest in on multi-stream communications when BSs do not have access to channel state information. Adopting stochastic geometry we evaluate the network-wise coverage performance of MIMO-MRC assuming maximum signal- to-interference ratio (SIR) cell association rule. Coverage analysis in MIMO-MRC HetNets is challenging due to inter-stream interference and statistical dependencies among streams' SIR values in each communication link. Using the results of stochastic geometry we then investigate this problem and obtain tractable analytical approximations for the coverage performance. We then show that our results are adequately accurate and easily computable. Our analysis sheds light on the impacts of important system parameters on the coverage performance, and provides quantitative insight on the densification in conjunction with high multiplexing gains in MIMO HetNets. We further observe that increasing multiplexing gain in high- power tier can cost a huge coverage reduction unless it is practiced with densification in femto-cell tier.",
author = "Khoshkholgh, {Mohammad G.} and Keivan Navaie and Shin, {K. G.} and {C. M. Leung}, Victor",
note = "{\circledC}2016 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 = "2016",
month = "9",
day = "18",
doi = "10.1109/VTCFall.2016.7880947",
language = "English",
isbn = "9781509017027",
pages = "1--5",
booktitle = "Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Coverage performance of MIMO-MRC in heterogeneous networks

T2 - a stochastic geometry perspective

AU - Khoshkholgh, Mohammad G.

AU - Navaie, Keivan

AU - Shin, K. G.

AU - C. M. Leung, Victor

N1 - ©2016 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 - 2016/9/18

Y1 - 2016/9/18

N2 - We study the coverage performance of multi-antenna (MIMO) communications with maximum ratio combining (MRC) at the receiver in heterogeneous networks (HetNets). Our main interest in on multi-stream communications when BSs do not have access to channel state information. Adopting stochastic geometry we evaluate the network-wise coverage performance of MIMO-MRC assuming maximum signal- to-interference ratio (SIR) cell association rule. Coverage analysis in MIMO-MRC HetNets is challenging due to inter-stream interference and statistical dependencies among streams' SIR values in each communication link. Using the results of stochastic geometry we then investigate this problem and obtain tractable analytical approximations for the coverage performance. We then show that our results are adequately accurate and easily computable. Our analysis sheds light on the impacts of important system parameters on the coverage performance, and provides quantitative insight on the densification in conjunction with high multiplexing gains in MIMO HetNets. We further observe that increasing multiplexing gain in high- power tier can cost a huge coverage reduction unless it is practiced with densification in femto-cell tier.

AB - We study the coverage performance of multi-antenna (MIMO) communications with maximum ratio combining (MRC) at the receiver in heterogeneous networks (HetNets). Our main interest in on multi-stream communications when BSs do not have access to channel state information. Adopting stochastic geometry we evaluate the network-wise coverage performance of MIMO-MRC assuming maximum signal- to-interference ratio (SIR) cell association rule. Coverage analysis in MIMO-MRC HetNets is challenging due to inter-stream interference and statistical dependencies among streams' SIR values in each communication link. Using the results of stochastic geometry we then investigate this problem and obtain tractable analytical approximations for the coverage performance. We then show that our results are adequately accurate and easily computable. Our analysis sheds light on the impacts of important system parameters on the coverage performance, and provides quantitative insight on the densification in conjunction with high multiplexing gains in MIMO HetNets. We further observe that increasing multiplexing gain in high- power tier can cost a huge coverage reduction unless it is practiced with densification in femto-cell tier.

U2 - 10.1109/VTCFall.2016.7880947

DO - 10.1109/VTCFall.2016.7880947

M3 - Conference contribution/Paper

SN - 9781509017027

SP - 1

EP - 5

BT - Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th

PB - IEEE

ER -