Home > Research > Publications & Outputs > Coverage performance of MIMO-MRC in heterogeneo...

Electronic data

  • K-tier MIMO-MRC-VTC

    Rights statement: ©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.

    Accepted author manuscript, 167 KB, PDF-document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

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

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

Published
Close
Publication date18/09/2016
Host publicationVehicular Technology Conference (VTC-Fall), 2016 IEEE 84th
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)9781509017010
ISBN (Print)9781509017027
Original languageEnglish
EventIEEE VTC 2016 - Montral, Canada
Duration: 18/09/201621/09/2016

Conference

ConferenceIEEE VTC 2016
Abbreviated titleVTC-S
CountryCanada
CityMontral
Period18/09/1621/09/16

Conference

ConferenceIEEE VTC 2016
Abbreviated titleVTC-S
CountryCanada
CityMontral
Period18/09/1621/09/16

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.

Bibliographic note

©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.