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

Next-generation wireless services are characterized by a diverse set ofrequirements, to sustain which, the wireless access points need to probe theusers in the network periodically. In this regard, we study a novel multi-armedbandit (MAB) setting that mandates probing all the arms periodically whilekeeping track of the best current arm in a non-stationary environment. Inparticular, we develop \texttt{TS-GE} that balances the regret guarantees ofclassical Thompson sampling (TS) with the broadcast probing (BP) of all thearms simultaneously in order to actively detect a change in the rewarddistributions. The main innovation in the algorithm is in identifying thechanged arm by an optional subroutine called group exploration (GE) that scalesas $\log_2(K)$ for a $K-$armed bandit setting. We characterize the probabilityof missed detection and the probability of false-alarm in terms of theenvironment parameters. We highlight the conditions in which the regretguarantee of \texttt{TS-GE} outperforms that of the state-of-the-artalgorithms, in particular, \texttt{ADSWITCH} and \texttt{M-UCB}. We demonstratethe efficacy of \texttt{TS-GE} by employing it in two wireless systemapplication - task offloading in mobile-edge computing (MEC) and an industrialinternet-of-things (IIoT) network designed for simultaneous wirelessinformation and power transfer (SWIPT).

Fast Change Identification in Multi-Play Bandits and its Applications in Wireless Networks