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

Wireless charging coupled with computation offloading in edge networks offersa promising solution for realizing power-hungry and computation intensiveapplications on user devices. We consider a multi-access edge computing (MEC)system with collocated MEC server and base-station/access point, each equippedwith a massive MIMO antenna array, supporting multiple users requesting datacomputation and wireless charging. The goal is to minimize the energyconsumption for computation offloading and maximize the received energy at theuser from wireless charging. The proposed solution is a novel two-stagealgorithm employing nested primal-dual and linear programming techniques toperform data partitioning and time allocation for computation offloading anddesign the optimal energy beamforming for wireless charging, all within MEC-APtransmit power and latency constraints. Algorithm results show that optimalenergy beamforming significantly outperforms other schemes such as isotropic ordirected charging without beam power allocation. Compared to binary offloading,data partition in partial offloading leads to lower energy consumption and morecharging time, and hence offers better wireless charging performance. Thecharged energy over an extended period of time both with and withoutcomputation offloading can be substantial. Opportunistic wireless charging fromMEC-AP thus offers a viable untethered approach for supplying energy touser-devices.

On-Request Wireless Charging and Partial Computation Offloading In Multi-Access Edge Computing Systems