Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular Networks

This paper discusses robust link adaptation for a downlink precoded multiple input single output system, for guaranteeing ultra-reliable (99.999%) transmissions to mobile users (e.g., slowly moving machines in a factory) served by a small cell network. The proposed technique compensates the effect o...

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Main Authors: Udesh Oruthota, Furqan Ahmed, Olav Tirkkonen
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Information
Subjects:
5G
Online Access:http://www.mdpi.com/2078-2489/7/1/14
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spelling doaj-e140749905504c0f9004bfda976fc0902020-11-24T23:30:23ZengMDPI AGInformation2078-24892016-03-01711410.3390/info7010014info7010014Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular NetworksUdesh Oruthota0Furqan Ahmed1Olav Tirkkonen2Department of Communications & Networking, Aalto University, P.O. Box 13000 FI-00076 AALTO, 00076 Espoo, FinlandDepartment of Communications & Networking, Aalto University, P.O. Box 13000 FI-00076 AALTO, 00076 Espoo, FinlandDepartment of Communications & Networking, Aalto University, P.O. Box 13000 FI-00076 AALTO, 00076 Espoo, FinlandThis paper discusses robust link adaptation for a downlink precoded multiple input single output system, for guaranteeing ultra-reliable (99.999%) transmissions to mobile users (e.g., slowly moving machines in a factory) served by a small cell network. The proposed technique compensates the effect of inaccurate channel state information (CSI) caused by user mobility, as well as the variation of precoders in the interfering cells. Both of these impairments translate into instability of the received signal-to-noise plus interference ratios (SINRs), and may lead to CSI mispredictions and potentially erroneous transmissions. We show that, by knowing the statistics of the propagation channels and the precoders variations, it is possible to compute a backoff that guarantees robust link adaptation. The backoff value is based on the statistics of realized SINR, and is consequently used to adapt the transmissions according to current channel state. Theoretical analysis accompanied by simulation results show that the proposed approach is suitable for attaining 5G ultra-reliability targets in realistic settings.http://www.mdpi.com/2078-2489/7/1/145Glink adaptationmobilityprecoderSINR variabilityultra-reliable communication
collection DOAJ
language English
format Article
sources DOAJ
author Udesh Oruthota
Furqan Ahmed
Olav Tirkkonen
spellingShingle Udesh Oruthota
Furqan Ahmed
Olav Tirkkonen
Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular Networks
Information
5G
link adaptation
mobility
precoder
SINR variability
ultra-reliable communication
author_facet Udesh Oruthota
Furqan Ahmed
Olav Tirkkonen
author_sort Udesh Oruthota
title Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular Networks
title_short Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular Networks
title_full Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular Networks
title_fullStr Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular Networks
title_full_unstemmed Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular Networks
title_sort ultra-reliable link adaptation for downlink miso transmission in 5g cellular networks
publisher MDPI AG
series Information
issn 2078-2489
publishDate 2016-03-01
description This paper discusses robust link adaptation for a downlink precoded multiple input single output system, for guaranteeing ultra-reliable (99.999%) transmissions to mobile users (e.g., slowly moving machines in a factory) served by a small cell network. The proposed technique compensates the effect of inaccurate channel state information (CSI) caused by user mobility, as well as the variation of precoders in the interfering cells. Both of these impairments translate into instability of the received signal-to-noise plus interference ratios (SINRs), and may lead to CSI mispredictions and potentially erroneous transmissions. We show that, by knowing the statistics of the propagation channels and the precoders variations, it is possible to compute a backoff that guarantees robust link adaptation. The backoff value is based on the statistics of realized SINR, and is consequently used to adapt the transmissions according to current channel state. Theoretical analysis accompanied by simulation results show that the proposed approach is suitable for attaining 5G ultra-reliability targets in realistic settings.
topic 5G
link adaptation
mobility
precoder
SINR variability
ultra-reliable communication
url http://www.mdpi.com/2078-2489/7/1/14
work_keys_str_mv AT udeshoruthota ultrareliablelinkadaptationfordownlinkmisotransmissionin5gcellularnetworks
AT furqanahmed ultrareliablelinkadaptationfordownlinkmisotransmissionin5gcellularnetworks
AT olavtirkkonen ultrareliablelinkadaptationfordownlinkmisotransmissionin5gcellularnetworks
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