A Pseudo-Bayesian Approach to Sign-Compute-Resolve Slotted ALOHA

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5 Citationer (Scopus)

Resumé

Access reservation based on slotted ALOHA is commonly used in wireless cellular access. In this paper we investigate its enhancement based on the use of physical-layer network coding and signature coding, whose main feature is enabling simultaneous resolution of up to K users contending for access, where K ≥ 1. We optimise the slot access probability such that the expected throughput is maximised. In particular, the slot access probability is chosen in line with an estimate of the number of users in the system that is obtained relying on the pseudo-Bayesian approach by Rivest, which we generalise for the case that K > 1. Under the assumption that this estimate reflects the actual number of users, we show that our approach achieves throughput 1 in the limit of large K.
OriginalsprogEngelsk
TitelIEEE International Conference on Communication Workshop (ICCW), 2015
ForlagIEEE
Publikationsdato2015
Sider2092 - 2096
ISBN (Elektronisk)978-1-4673-6305-1
DOI
StatusUdgivet - 2015
BegivenhedIEEE International Conference on Communication Workshop, ICCW 2015 - London, Storbritannien
Varighed: 8 jun. 201512 jun. 2015

Konference

KonferenceIEEE International Conference on Communication Workshop, ICCW 2015
LandStorbritannien
ByLondon
Periode08/06/201512/06/2015
NavnIEEE International Conference on Communication Workshop

Fingerprint

Throughput
Network coding

Citer dette

Goseling, J., Stefanovic, C., & Popovski, P. (2015). A Pseudo-Bayesian Approach to Sign-Compute-Resolve Slotted ALOHA. I IEEE International Conference on Communication Workshop (ICCW), 2015 (s. 2092 - 2096). IEEE. IEEE International Conference on Communication Workshop https://doi.org/10.1109/ICCW.2015.7247490
Goseling, Jasper ; Stefanovic, Cedomir ; Popovski, Petar. / A Pseudo-Bayesian Approach to Sign-Compute-Resolve Slotted ALOHA. IEEE International Conference on Communication Workshop (ICCW), 2015. IEEE, 2015. s. 2092 - 2096 (IEEE International Conference on Communication Workshop ).
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title = "A Pseudo-Bayesian Approach to Sign-Compute-Resolve Slotted ALOHA",
abstract = "Access reservation based on slotted ALOHA is commonly used in wireless cellular access. In this paper we investigate its enhancement based on the use of physical-layer network coding and signature coding, whose main feature is enabling simultaneous resolution of up to K users contending for access, where K ≥ 1. We optimise the slot access probability such that the expected throughput is maximised. In particular, the slot access probability is chosen in line with an estimate of the number of users in the system that is obtained relying on the pseudo-Bayesian approach by Rivest, which we generalise for the case that K > 1. Under the assumption that this estimate reflects the actual number of users, we show that our approach achieves throughput 1 in the limit of large K.",
keywords = "random access, slotted ALOHA, signature coding, physical layer network coding",
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Goseling, J, Stefanovic, C & Popovski, P 2015, A Pseudo-Bayesian Approach to Sign-Compute-Resolve Slotted ALOHA. i IEEE International Conference on Communication Workshop (ICCW), 2015. IEEE, IEEE International Conference on Communication Workshop , s. 2092 - 2096, London, Storbritannien, 08/06/2015. https://doi.org/10.1109/ICCW.2015.7247490

A Pseudo-Bayesian Approach to Sign-Compute-Resolve Slotted ALOHA. / Goseling, Jasper ; Stefanovic, Cedomir; Popovski, Petar.

IEEE International Conference on Communication Workshop (ICCW), 2015. IEEE, 2015. s. 2092 - 2096 (IEEE International Conference on Communication Workshop ).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Popovski, Petar

PY - 2015

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N2 - Access reservation based on slotted ALOHA is commonly used in wireless cellular access. In this paper we investigate its enhancement based on the use of physical-layer network coding and signature coding, whose main feature is enabling simultaneous resolution of up to K users contending for access, where K ≥ 1. We optimise the slot access probability such that the expected throughput is maximised. In particular, the slot access probability is chosen in line with an estimate of the number of users in the system that is obtained relying on the pseudo-Bayesian approach by Rivest, which we generalise for the case that K > 1. Under the assumption that this estimate reflects the actual number of users, we show that our approach achieves throughput 1 in the limit of large K.

AB - Access reservation based on slotted ALOHA is commonly used in wireless cellular access. In this paper we investigate its enhancement based on the use of physical-layer network coding and signature coding, whose main feature is enabling simultaneous resolution of up to K users contending for access, where K ≥ 1. We optimise the slot access probability such that the expected throughput is maximised. In particular, the slot access probability is chosen in line with an estimate of the number of users in the system that is obtained relying on the pseudo-Bayesian approach by Rivest, which we generalise for the case that K > 1. Under the assumption that this estimate reflects the actual number of users, we show that our approach achieves throughput 1 in the limit of large K.

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Goseling J, Stefanovic C, Popovski P. A Pseudo-Bayesian Approach to Sign-Compute-Resolve Slotted ALOHA. I IEEE International Conference on Communication Workshop (ICCW), 2015. IEEE. 2015. s. 2092 - 2096. (IEEE International Conference on Communication Workshop ). https://doi.org/10.1109/ICCW.2015.7247490