Grant-Free Radio Access IoT Networks: Scalability Analysis in Coexistence Scenarios

IoT networks with grant-free radio access, like SigFox and LoRa, offer low-cost durable communications over unlicensed band. These networks are becoming more and more popular due to the ever-increasing need for ultra durable, in terms of battery lifetime, IoT networks. Most studies evaluate the system performance assuming single radio access technology deployment. In this paper, we study the impact of coexisting competing radio access technologies on the system performance. Considering K technologies, defined by time and frequency activity factors, bandwidth, and power, which share a set of radio resources, we derive closed-form expressions for the successful transmission probability, expected battery lifetime, and experienced delay as a function of distance to the serving access point. Our analytical model, which is validated by simulation results, provides a tool to evaluate the coexistence scenarios and analyze how introduction of a new coexisting technology may degrade the system performance in terms of success probability and battery lifetime. We further investigate solutions in which this destructive effect could be compensated, e.g., by densifying the network to a certain extent and utilizing joint reception.

[1]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

[2]  Cicek Cavdar,et al.  Energy efficient resource allocation in two-tier OFDMA networks with QoS guarantees , 2018, Wirel. Networks.

[3]  Dmitry Bankov,et al.  Mathematical model of LoRaWAN channel access , 2017, 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[4]  Xiaohu You,et al.  Narrowband Wireless Access for Low-Power Massive Internet of Things: A Bandwidth Perspective , 2017, IEEE Wireless Communications.

[5]  Zhi Chen,et al.  Efficient Multi-User Detection for Uplink Grant-Free NOMA: Prior-Information Aided Adaptive Compressive Sensing Perspective , 2017, IEEE Journal on Selected Areas in Communications.

[6]  Preben E. Mogensen,et al.  Interference Impact on Coverage and Capacity for Low Power Wide Area IoT Networks , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[7]  Steeve Zozor,et al.  2D time-frequency interference modelling using stochastic geometry for performance evaluation in Low-Power Wide-Area Networks , 2016, 2017 IEEE International Conference on Communications (ICC).

[8]  Andrzej Duda,et al.  Comparison of the Device Lifetime in Wireless Networks for the Internet of Things , 2017, IEEE Access.

[9]  Fernando A. Kuipers,et al.  LoRaWAN in the Wild: Measurements from The Things Network , 2017, ArXiv.

[10]  Guowang Miao,et al.  Grant-Free Radio Access for Short-Packet Communications over 5G Networks , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[11]  Andrea Zanella,et al.  Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios , 2015, IEEE Wireless Communications.

[12]  M. Degroot,et al.  Probability and Statistics , 2021, Examining an Operational Approach to Teaching Probability.

[13]  Thomas Watteyne,et al.  Understanding the Limits of LoRaWAN , 2016, IEEE Communications Magazine.

[14]  George Mastorakis,et al.  Internet of Things (IoT) in 5G Mobile Technologies , 2016 .

[15]  István Z. Kovács,et al.  Interference Measurements in the European 868 MHz ISM Band with Focus on LoRa and SigFox , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[16]  Walter L. Smith Probability and Statistics , 1959, Nature.

[17]  Orestis Georgiou,et al.  Low Power Wide Area Network Analysis: Can LoRa Scale? , 2016, IEEE Wireless Communications Letters.

[18]  Guowang Miao,et al.  $E^{2}$ -MAC: Energy Efficient Medium Access for Massive M2M Communications , 2016, IEEE Transactions on Communications.

[19]  Konstantin Mikhaylov,et al.  On LoRaWAN scalability: Empirical evaluation of susceptibility to inter-network interference , 2017, 2017 European Conference on Networks and Communications (EuCNC).

[20]  Evgeny Khorov,et al.  On the Limits of LoRaWAN Channel Access , 2016, 2016 International Conference on Engineering and Telecommunication (EnT).