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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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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1725541427956416512 |