Multiple Base Stations Diversity for UNB Systems: Theoretical Analysis and Performances

Yuqi Mo 1, 2 Claire Goursaud 2 Jean-Marie Gorce 2
2 SOCRATE - Software and Cognitive radio for telecommunications
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : UNB (Ultra Narrow Band) is one of the technologies dedicated to low-power wide-area communication for IoT, currently exploited by SigFox. The specificity of UNB is the Aloha-type channel access scheme, both asynchronized in time and frequency domain. This randomness can cause partial spectral interference. In this paper, we take advantage of the spatial diversity of multiple base stations to improve the UNB performance, by using selection combining. In the presence of pathloss and spectral randomness of UNB, the channels are considered correlated. A theoretical analysis of outage probability is demonstrated by considering this correlation, for the case of 2 base stations. This methodology of probability computing can be extended to general K BSs. The diversity of multiple receivers is proved to be beneficial in enhancing the performance of UNB networks. This gain is shown to be related to the density of the base stations, as well as the distance between each of them.
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Submitted on : Friday, October 5, 2018 - 11:02:46 AM
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Yuqi Mo, Claire Goursaud, Jean-Marie Gorce. Multiple Base Stations Diversity for UNB Systems: Theoretical Analysis and Performances. ISNCC 2018 - International Symposium on Networks, Computers and Communications, Jun 2018, Rome, Italy. pp.1-6. ⟨hal-01887619⟩

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