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Age of Information Under Frame Slotted ALOHA-Based Status Updating Protocol
Zhejiang Univ, Peoples R China.
Zhejiang Univ, Peoples R China.
Zhejiang Univ, Peoples R China.
Linköpings universitet, Institutionen för datavetenskap, Databas och informationsteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0003-4416-7702
2023 (engelsk)Inngår i: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 41, nr 7, s. 2071-2089Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We propose a frame slotted ALOHA (FSA)-based protocol for a random access network where sources transmit status updates to their intended destinations. We evaluate the effect of such a protocol on the networks timeliness performance using the Age of Information (AoI) metric. Specifically, we leverage tools from stochastic geometry to model the spatial positions of the source-destination pairs and capture the entanglement amongst the nodes spatial-temporal attributes through the interference they caused to each other. We derive analytical expressions for the average and variance of AoI over a typical transmission link in Poisson bipolar and cellular networks, respectively. Our analysis shows that in densely deployed networks, the FSA-based status updating protocol can significantly decrease the average AoI and in addition, stabilizes the age performance by substantially reducing the variance of AoI. Furthermore, under the same updating frequency, converting a slotted ALOHA protocol into an FSA-based one always leads to a reduction in the average AoI. Moreover, implementing FSA in conjunction with power control can further benefit the AoI performance, although the particular values of framesize and power control factor must be adequately tuned to achieve the optimal gain.

sted, utgiver, år, opplag, sider
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2023. Vol. 41, nr 7, s. 2071-2089
Emneord [en]
Age of information; wireless network; interference; frame slotted ALOHA; stochastic geometry
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Identifikatorer
URN: urn:nbn:se:liu:diva-196741DOI: 10.1109/JSAC.2023.3280990ISI: 001024232900009OAI: oai:DiVA.org:liu-196741DiVA, id: diva2:1790246
Merknad

Funding Agencies|National Natural Science Foundation of China [62271513, 62202427]; Zhejiang Provincial Natural Science Foundation of China [LGJ22F010001]; Zhejiang-Singapore Innovation; AI Joint Research Laboratory; Zhejiang University-University of Illinois Urbana-Champaign Institute Starting Fund; Swedish Research Council (VR), ELLIIT, Zenith; European Union (ETHER) [101096526]

Tilgjengelig fra: 2023-08-22 Laget: 2023-08-22 Sist oppdatert: 2023-08-22

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