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

We develop a novel design framework for dynamic distributed spectrum sharingamong secondary users (SUs) who adjust their power levels to compete forspectrum opportunities while satisfying the interference temperature (IT)constraints imposed by primary users. The considered interaction among the SUsis characterized by the following three features. First, since the SUs aredecentralized, they are selfish and aim to maximize their own long-term payoffsfrom utilizing the network rather than obeying the prescribed allocation of acentralized controller. Second, the SUs interact with each other repeatedly andthey can coexist in the system for a long time. Third, the SUs have limited andimperfect monitoring ability: they only observe whether the IT constraints areviolated, and their observation is imperfect due to the erroneous measurements.To capture these features, we model the interaction of the SUs as a repeatedgame with imperfect monitoring. We first characterize the set of Pareto optimalpayoffs that can be achieved by deviation-proof spectrum sharing policies,which are policies that the selfish users find it in their interest to complywith. Next, for any given payoff in this set, we show how to construct adeviation-proof policy to achieve it. The constructed deviation-proof policy isamenable to distributed implementation, and allows users to transmit in atime-division multiple-access (TDMA) fashion. In the presence of strongmulti-user interference, our policy outperforms existing spectrum sharingpolicies that dictate users to transmit at constant power levelssimultaneously. Moreover, our policy can achieve Pareto optimality even whenthe SUs have limited and imperfect monitoring ability, as opposed to existingsolutions based on repeated games, which require perfect monitoring abilities.

Dynamic Spectrum Sharing Among Repeatedly Interacting Selfish Users With Imperfect Monitoring