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Massive MIMO Meets Small CellMassive MIMO for Interference Suppression: Cell-Edge Aware Zero Forcing

Massive MIMO Meets Small Cell: Massive MIMO for Interference Suppression: Cell-Edge Aware Zero... [Ubiquitous high-speed coverage and seamless user experience are among the main targets of next generation wireless systems, and large antenna arrays have been identified as a technology candidate to achieve them. By exploiting the excess spatial degree of freedom from the large number of base station (BS) antennas, we propose a new scheme termed cell-edge-aware (CEA) zero forcing (ZF) precoder for coordinated beamforming in massive MIMO cellular network, which suppresses inter-cell interference at the most vulnerable user equipments (UEs). In this work, we combine the tools from random matrix theory and stochastic geometry to develop a framework that enables us to quantify the performance of CEA-ZF and compare that with a conventional cell-edge-unaware (CEU) ZF precoder in a network of random topology. Our analysis and simulations show that the proposed CEA-ZF precoder outperforms CEU-ZF precoding in terms of (i) increased aggregate per-cell data rate, (ii) higher coverage probability, and (iii) significantly larger \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$95\,\%$$\end{document}-likely rate, the latter being the worst data rate that a UE can reasonably expect to receive when in range of the network. Results from our framework also reveal the importance of scheduling the optimal number of UEs per BS, and confirm the necessity to control the amount of pilot contamination received during the channel estimation phase.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Massive MIMO Meets Small CellMassive MIMO for Interference Suppression: Cell-Edge Aware Zero Forcing

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2017
ISBN
978-3-319-43713-2
Pages
9 –34
DOI
10.1007/978-3-319-43715-6_2
Publisher site
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Abstract

[Ubiquitous high-speed coverage and seamless user experience are among the main targets of next generation wireless systems, and large antenna arrays have been identified as a technology candidate to achieve them. By exploiting the excess spatial degree of freedom from the large number of base station (BS) antennas, we propose a new scheme termed cell-edge-aware (CEA) zero forcing (ZF) precoder for coordinated beamforming in massive MIMO cellular network, which suppresses inter-cell interference at the most vulnerable user equipments (UEs). In this work, we combine the tools from random matrix theory and stochastic geometry to develop a framework that enables us to quantify the performance of CEA-ZF and compare that with a conventional cell-edge-unaware (CEU) ZF precoder in a network of random topology. Our analysis and simulations show that the proposed CEA-ZF precoder outperforms CEU-ZF precoding in terms of (i) increased aggregate per-cell data rate, (ii) higher coverage probability, and (iii) significantly larger \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$95\,\%$$\end{document}-likely rate, the latter being the worst data rate that a UE can reasonably expect to receive when in range of the network. Results from our framework also reveal the importance of scheduling the optimal number of UEs per BS, and confirm the necessity to control the amount of pilot contamination received during the channel estimation phase.]

Published: Aug 6, 2016

Keywords: Channel Estimation; Channel State Information; Coverage Probability; Zero Force; Imperfect Channel State Information

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