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

Due to the spectrum reuse in small cell network, the inter-cell interferencehas great effect on MEC's performance. In this paper, for reducing the energyconsumption and latency of MEC, we propose a game theory based jointingoffloading decision and resource allocation algorithm for multi-user MEC. Inthis algorithm, the transmission power, offloading decision, and mobile user'sCPU capability are determined jointly. We prove that this game is an exactpotential game and the NE of this game exists and is unique. For reaching theNE, the best response dynamic is applied. We calculate the best responses ofthese three variables. Moreover, we investigate the properties of thisalgorithm, including the convergence, the computation complexity, and the priceof anarchy. The theoretical analysis shows that the inter-cell interference hasgreat effect on the performance of MEC. The NE of this game is Paretoefficiency and also the global optimal solution of the proposed optimal issue.Finally, we evaluate the performance of this algorithm by simulation. Thesimulation results illustrates that this algorithm is effective on improvingthe performance of the multi-user MEC system.

Distributed Joint Offloading Decision and Resource Allocation for Multi-User Mobile Edge Computing: A Game Theory Approach