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Enabling slotted Aloha-NOMA for massive M2M communication in IoT networks
Date
2018-05-23
Author
Elkourdi, Mohamed
Mazin, Asim
Balevi, Eren
Gitlin, Richard D.
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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© 2018 IEEE.The Internet of things (IoT), which is the network of physical devices embedded with sensors, actuators, and connectivity, is being accelerated into the mainstream by the emergence of 5G wireless networking. This paper presents an uncoordinated non-orthogonal random access protocol, which is an enhancement to the recently introduced Slotted Aloha-NOMA (SAN) protocol that provides high throughput, while being matched to the low complexity requirements and the sporadic traffic pattern of IoT devices. Under ideal conditions it has been shown that Slotted Aloha-NOMA (SAN), using power-domain orthogonality, can significantly increase the throughput using SIC (Successive Interference Cancellation) to enable correct reception of multiple simultaneous transmitted signals. For this ideal performance, the enhanced SAN receiver adaptively learns the number of active devices (which is not known a priori) using a form of multi-hypothesis testing. For small numbers of simultaneous transmissions, it is shown that there can be substantial throughput gain of 5.5 dB relative to slotted Aloha (SA) for 0.07 probability of transmission and up to 3 active transmitters.
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048394208&origin=inward
https://hdl.handle.net/11511/100435
DOI
https://doi.org/10.1109/wamicon.2018.8363906
Conference Name
19th IEEE Wireless and Microwave Technology Conference, WAMICON 2018
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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M. Elkourdi, A. Mazin, E. Balevi, and R. D. Gitlin, “Enabling slotted Aloha-NOMA for massive M2M communication in IoT networks,” presented at the 19th IEEE Wireless and Microwave Technology Conference, WAMICON 2018, Florida, Amerika Birleşik Devletleri, 2018, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048394208&origin=inward.