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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In the first part of this paper, we have studied solely the spectrum sharingaspect of the above problem, and proposed algorithms for the CUs in the singleAP network to efficiently share the spectrum. In this second part of the paper,we build upon our previous understanding of the single AP network, andformulate the joint spectrum decision and spectrum sharing problem in amultiple AP network into a non-cooperative game, in which the feasible strategyof a player contains a discrete variable (the AP/spectrum decision) and acontinuous vector (the power allocation among multiple channels). The structureof the game is hence very different from most non-cooperative spectrummanagement game proposed in the literature. We provide characterization of theNash Equilibrium (NE) of this game, and present a set of novel algorithms thatallow the CUs to distributively and efficiently select the suitable AP andshare the channels with other CUs. Finally, we study the properties of theproposed algorithms as well as their performance via extensive simulations.

Distributed Uplink Resource Allocation in Cognitive Radio Networks --  Part II: Equilibria and Algorithms for Joint Access Point Selection and Power  Allocation