In this paper, we analyze throughput and delay performance of clustered Machine Type Communication (MTC) devices which access an eNodeB utilizing a primary spectrum in underlay mode. We assume that the MTC devices form two clusters and there is an optimal preamble allocation between the two clusters to maximize the throughput. We further investigate the impact of the tolerable interference threshold on throughput, successful preamble decoding probability, and delay. Then, the impact of the preamble partition factor and the access barring factor on throughput and delay is analyzed. Finally, we evaluate the impact of the number of devices, retransmission requests, and preamble partitions on the delay.

Throughput and delay analysis of cognitive M2M communications / Mondal, Soumen; Davoli, Luca; Dhar Roy, Sanjay; Kundu, Sumit; Ferrari, Gianluigi; Raheli, Riccardo. - In: JOURNAL OF NETWORK AND COMPUTER APPLICATIONS. - ISSN 1084-8045. - 225:(2024). [10.1016/j.jnca.2024.103856]

Throughput and delay analysis of cognitive M2M communications

Davoli, Luca
;
Ferrari, Gianluigi;Raheli, Riccardo
2024-01-01

Abstract

In this paper, we analyze throughput and delay performance of clustered Machine Type Communication (MTC) devices which access an eNodeB utilizing a primary spectrum in underlay mode. We assume that the MTC devices form two clusters and there is an optimal preamble allocation between the two clusters to maximize the throughput. We further investigate the impact of the tolerable interference threshold on throughput, successful preamble decoding probability, and delay. Then, the impact of the preamble partition factor and the access barring factor on throughput and delay is analyzed. Finally, we evaluate the impact of the number of devices, retransmission requests, and preamble partitions on the delay.
2024
Throughput and delay analysis of cognitive M2M communications / Mondal, Soumen; Davoli, Luca; Dhar Roy, Sanjay; Kundu, Sumit; Ferrari, Gianluigi; Raheli, Riccardo. - In: JOURNAL OF NETWORK AND COMPUTER APPLICATIONS. - ISSN 1084-8045. - 225:(2024). [10.1016/j.jnca.2024.103856]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2972812
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