TY - GEN
T1 - On the scalability of uncoordinated multiple access for the Internet of Things
AU - Chisci, Giovanni
AU - Elsawy, Hesham
AU - Conti, Andrea
AU - Alouini, Mohamed-Slim
AU - Win, Moe Z.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research was supported, in part, by the “5x1000” Young Researcher Mobility Project, University of Ferrara, Ferrara, Italy, and by the Sensor Research Initiative through the Office of Sponsored Research at the King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
PY - 2017/11/16
Y1 - 2017/11/16
N2 - The Internet of things (IoT) will entail massive number of wireless connections with sporadic traffic patterns. To support the IoT traffic, several technologies are evolving to support low power wide area (LPWA) wireless communications. However, LPWA networks rely on variations of uncoordinated spectrum access, either for data transmissions or scheduling requests, thus imposing a scalability problem to the IoT. This paper presents a novel spatiotemporal model to study the scalability of the ALOHA medium access. In particular, the developed mathematical model relies on stochastic geometry and queueing theory to account for spatial and temporal attributes of the IoT. To this end, the scalability of the ALOHA is characterized by the percentile of IoT devices that can be served while keeping their queues stable. The results highlight the scalability problem of ALOHA and quantify the extend to which ALOHA can support in terms of number of devices, traffic requirement, and transmission rate.
AB - The Internet of things (IoT) will entail massive number of wireless connections with sporadic traffic patterns. To support the IoT traffic, several technologies are evolving to support low power wide area (LPWA) wireless communications. However, LPWA networks rely on variations of uncoordinated spectrum access, either for data transmissions or scheduling requests, thus imposing a scalability problem to the IoT. This paper presents a novel spatiotemporal model to study the scalability of the ALOHA medium access. In particular, the developed mathematical model relies on stochastic geometry and queueing theory to account for spatial and temporal attributes of the IoT. To this end, the scalability of the ALOHA is characterized by the percentile of IoT devices that can be served while keeping their queues stable. The results highlight the scalability problem of ALOHA and quantify the extend to which ALOHA can support in terms of number of devices, traffic requirement, and transmission rate.
UR - http://hdl.handle.net/10754/626179
UR - http://ieeexplore.ieee.org/document/8108148/
UR - http://www.scopus.com/inward/record.url?scp=85041347510&partnerID=8YFLogxK
U2 - 10.1109/ISWCS.2017.8108148
DO - 10.1109/ISWCS.2017.8108148
M3 - Conference contribution
AN - SCOPUS:85041347510
SN - 9781538629130
SP - 402
EP - 407
BT - 2017 International Symposium on Wireless Communication Systems (ISWCS)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -