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 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/14
Y1 - 2017/11/14
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.
KW - Internet of things
KW - Poisson point process
KW - communication delay
KW - medium access control
KW - wireless networks
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
T3 - Proceedings of the International Symposium on Wireless Communication Systems
SP - 402
EP - 407
BT - 2017 International Symposium on Wireless Communication Systems, ISWCS 2017
PB - VDE VERLAG GMBH
T2 - 2017 International Symposium on Wireless Communication Systems, ISWCS 2017
Y2 - 28 August 2017 through 31 August 2017
ER -