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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Ultra reliable, low latency vehicle-to-infrastructure (V2I) communications isa key requirement for seamless operation of autonomous vehicles (AVs) in futuresmart cities. To this end, cellular small base stations (SBSs) with edgecomputing capabilities can reduce the end-to-end (E2E) service delay byprocessing requested tasks from AVs locally, without forwarding the tasks to aremote cloud server. Nonetheless, due to the limited computational capabilitiesof the SBSs, coupled with the scarcity of the wireless bandwidth resources,minimizing the E2E latency for AVs and achieving a reliable V2I network ischallenging. In this paper, a novel algorithm is proposed to jointly optimizeAVs-to-SBSs association and bandwidth allocation to maximize the reliability ofthe V2I network. By using tools from labor matching markets, the proposedframework can effectively perform distributed association of AVs to SBSs, whileaccounting for the latency needs of AVs as well as the limited computationaland bandwidth resources of SBSs. Moreover, the convergence of the proposedalgorithm to a core allocation between AVs and SBSs is proved and its abilityto capture interdependent computational and transmission latencies for AVs in aV2I network is characterized. Simulation results show that by optimizing theE2E latency, the proposed algorithm substantially outperforms conventional cellassociation schemes, in terms of service reliability and latency.

Ultra Reliable, Low Latency Vehicle-to-Infrastructure Wireless Communications with Edge Computing