English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We investigate the age-of-information (AoI) in the context of random accessnetworks, in which transmitters need to send a sequence of information packetsto the intended receivers over a shared spectrum. Due to interference, thedynamics at the link pairs will interact with each other over both space andtime, and the effects of these spatiotemporal interactions on the AoI are notwell understood. In this paper, we straddle queueing theory and stochasticgeometry to establish an analytical framework, that accounts for the interplaybetween the temporal traffic attributes and spatial network topology, for sucha study. Specifically, we derive accurate and tractable expressions to quantifythe network average AoI as well as the outage probability of peak AoI. Besides,we develop a decentralized channel access policy that exploits the localobservation at each node to make transmission decisions that minimize the AoI.Our analysis reveals that when the packet transmissions are scheduled in alast-come first-serve (LCFS) order, whereas the newly incoming packets canreplace the undelivered ones, depending on the deployment density, there may ormay not exist a tradeoff on the packet arrival rate that minimizes the networkaverage AoI. Moreover, the slotted ALOHA protocol is shown to be instrumentalin reducing the AoI when the packet arrival rates are high, yet it cannotcontribute to decreasing the AoI in the regime of infrequent packet arrivals.The numerical results also confirm the efficacy of the proposed scheme, wherethe gain is particularly pronounced when the network grows in size because ourmethod is able to adapt the channel access probabilities with the change ofambient environment.

Spatiotemporal Analysis for Age of Information in Random Access Networks under Last-Come First-Serve with Replacement Protocol