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

As energy harvesting communication systems emerge, there is a need fortransmission schemes that dynamically adapt to the energy harvesting process.In this paper, after exhibiting a finite-horizon online throughput-maximizingscheduling problem formulation and the structure of its optimal solution withina dynamic programming formulation, a low complexity online scheduling policy isproposed. The policy exploits the existence of thresholds for choosing rate andpower levels as a function of stored energy, harvest state and time until theend of the horizon. The policy, which is based on computing an expectedthreshold, performs close to optimal on a wide range of example energy harvestpatterns. Moreover, it achieves higher throughput values for a given delay,than throughput-optimal online policies developed based on infinite-horizonformulations in recent literature. The solution is extended to include ergodictime-varying (fading) channels, and a corresponding low complexity policy isproposed and evaluated for this case as well.

Finite-horizon Online Transmission Rate and Power Adaptation on a Communication Link with Markovian Energy Harvesting