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Information 2016, 7(1), 14; doi:10.3390/info7010014

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

Department of Communications & Networking, Aalto University, P.O. Box 13000 FI-00076 AALTO, 00076 Espoo, Finland
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editors: Mikael Skoglund, Lars K. Rasmussen and Tobias Oechtering
Received: 20 November 2015 / Revised: 23 February 2016 / Accepted: 25 February 2016 / Published: 4 March 2016
(This article belongs to the Special Issue Communication Theory)
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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. View Full-Text
Keywords: 5G; link adaptation; mobility; precoder; SINR variability; ultra-reliable communication 5G; link adaptation; mobility; precoder; SINR variability; ultra-reliable communication

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Oruthota, U.; Ahmed, F.; Tirkkonen, O. Ultra-Reliable Link Adaptation for Downlink MISO Transmission in 5G Cellular Networks. Information 2016, 7, 14.

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