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

In this paper, we consider a UAV-assisted small-cell having heterogeneoususers with different data rates and coverage demands. Specifically, we proposea novel utility-aware resource-allocation protocol to maximize the utility ofUAV by allowing it to simultaneously serve the highest possible number ofheterogeneous users with available energy resources. In this regard, first, wederive a closed-form expression for the rate-coverage probability of a userconsidering Rician fading to incorporate the strong line of sight (LoS)component in UAV communication. Next, since this UAV utility maximizationproblem is non-convex and combinatorial, to obtain the global optimal resourceallocation policy we propose an iterative feasibility checking method for fixedintegers ranging from lower to upper bound on the number of users that can beserved by UAV. To further reduce the complexity, we formulate an equivalentproblem aimed at minimizing per user energy consumption, where tight analyticalrelaxation on rate-coverage probability constraint is used along withsemi-closed expressions for joint-optimal power and time allocation. Lastly,via detailed numerical investigation, we validate our analytical claims,present insights on the impact of key system parameters, and demonstrate that60% more users can be served using the proposed scheme, as compared to relevantbenchmarks.

Utility-Aware Optimal Resource Allocation Protocol for UAV-Assisted Small Cells with Heterogeneous Coverage Demands