Uplink Multiple Base Stations Diversity for UNB based IoT networks

Yuqi Mo 1, 2 Claire Goursaud 2, 3 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
3 MARACAS - Modèle et algorithmes pour des systèmes de communication fiables
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/hal-01887640
Contributor : Yuqi Mo <>
Submitted on : Thursday, October 4, 2018 - 11:57:38 AM
Last modification on : Tuesday, November 19, 2019 - 2:11:30 AM
Long-term archiving on: Saturday, January 5, 2019 - 2:36:24 PM

File

CAMA2018.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01887640, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

57

Files downloads

165