@inproceedings{a3aecd2ad90544b08e41de9498f9cca5,
title = "Link adaptation design for ultra-reliable communications",
abstract = "The fifth generation (5G) of cellular networks is expected to provide connectivity for a wide range of services. This requires the network to encounter novel features. Ultra-reliable communications (URC) is one of the considered features, which provides a certain level of communication service almost all the time. This is essential in order to support mission-critical applications, such as industrial automation, public safety, and vehicular communications. This paper studies link adaptation optimization for URC, considering errors in both data and feedback channels. As the implementation of optimal link adaptation is challenging, particularly, for downlink transmissions due to the limited feedback channel, a simple link adaption scheme is also proposed. Results reveal that the performances of the proposed and optimal link adaptation schemes are close. Hence, the proposed scheme can be utilized to efficiently support URC in cellular networks.",
keywords = "5G mobile communication, Ultra-reliable communication, machine-type communications, Machine-to-Machine, link adaptation, low-latency, CQI, MCS",
author = "Hamidreza Shariatmadari and Zexian Li and Uusitalo, {Mikko A.} and Sassan Iraji and Riku J{\"a}ntti",
year = "2016",
month = may,
day = "1",
doi = "10.1109/ICC.2016.7511429",
language = "English",
series = "IEEE International Conference on Communications",
publisher = "IEEE",
pages = "1--5",
booktitle = "2016 IEEE International Conference on Communications (ICC)",
address = "United States",
note = "IEEE International Conference on Communications, ICC ; Conference date: 22-05-2016 Through 27-05-2016",
}