Uplink Multiple Base Stations Diversity for UNB based IoT networks

Yuqi Mo (1, 2, 3) , Claire Goursaud (2, 3) , Jean-Marie Gorce (2, 3)

1 CITI - CITI Centre of Innovation in Telecommunications and Integration of services
2 SOCRATE - Software and Cognitive radio for telecommunications
3 MARACAS - Modèle et algorithmes pour des systèmes de communication fiables

Ultra-Narrow-Band has been a promising candidate for low-power long-distance transmissions in the context of IoT. Its radio access is random at time and frequency, and can degrade the network performance. We propose to apply signal combining and interference cancellation technologies across multiple base stations in UNB networks, in order to take advantage of their spatial diversity. We evaluate and compare the performance enhancement of each technology, compared to single BS case. These technologies exploiting multi-BS diversity are proved to be significantly beneficial in improving UNB networks' scalability. We can gain until 28 times better performance with one iteration global SIC. We highlight that these results provide us a choice among the technologies according to the improvement needs and the implementation complexity.

Mots clés: SC/MRC/EGC; LPWAN; IoT; spectral randomness; multi-BS diversity; UNB; Sigfox; local SIC; global SIC

Domaines: Réseaux et télécommunications [cs.NI]

Yuqi Mo, Claire Goursaud, Jean-Marie Gorce. Uplink Multiple Base Stations Diversity for UNB based IoT networks. CAMA 2018 - IEEE International Conference on Antenna Measurement and Applications, Sep 2018, Västerås, Sweden. pp.1-4. ⟨hal-01887640⟩