DocumentCode :
1788045
Title :
Availability indication as key enabler for ultra-reliable communication in 5G
Author :
Schotten, Hans D. ; Sattiraju, Raja ; Gozalvez Serrano, David ; Zhe Ren ; Fertl, Peter
Author_Institution :
Univ. of Kaiserslautern, Kaiserslautern, Germany
fYear :
2014
fDate :
23-26 June 2014
Firstpage :
1
Lastpage :
5
Abstract :
Due to its flexibility, cost-efficiency, and the ability to support mobility, wireless connectivity is seen today as a key enabler for a wide range of applications beyond classical mobile communications. A significant part of these applications depends on the capability of the wireless communication system to provide reliable connectivity. However, due to the randomness of the wireless propagation channel, reliability is still a critical issue in these systems. Some applications, such as vehicular and industrial applications, demand a level of reliability that wireless communication systems typically are not able to guarantee. This paper provides a framework that enables these applications to make use of wireless connectivity only if the transmission conditions are favorable enough. The concept is based on the idea that - despite the fact that it is practically impossible to ensure error-free wireless communication - it is feasible to derive boundary conditions for the transmission success. To this end, the paper introduces a novel metric for Ultra-Reliable Communication (URC) referred to as “Availability”, that determines the expected presence or absence of link reliability at the time of transmission. The availability is signaled by means of an Availability Indicator (AI) to the applications. Moreover, we develop the system model for computing the AI and illustrate the potential benefits of the new reliability metric by means of a possible implementation for automotive scenarios.
Keywords :
mobile radio; radiowave propagation; telecommunication network reliability; 5G; URC; automotive scenario; availability indication; availability indicator; boundary condition; classical mobile communications; communication ultrareliability; connectivity reliability; error-free wireless communication; industrial application; link reliability; reliability metric; transmission condition; vehicular application; wireless communication system capability; wireless communication system reliability; wireless connectivity; wireless propagation channel randomness; Artificial intelligence; Availability; Doppler effect; Interference; Signal to noise ratio; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks and Communications (EuCNC), 2014 European Conference on
Conference_Location :
Bologna
Type :
conf
DOI :
10.1109/EuCNC.2014.6882630
Filename :
6882630
Link To Document :
بازگشت