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 a K-user Gaussian interference channel, it has been shown by Geng et al.that if for each user the desired signal strength is no less than the sum ofthe strengths of the strongest interference from this user and the strongestinterference to this user (all values in dB scale), then power control andtreating interference as noise (TIN) is optimal from the perspective ofgeneralized degrees of freedom (GDoF) and achieves the entire channel capacityregion to within a constant gap. In this work, we generalize the optimality ofTIN to compound networks. We show that for a K-user compound Gaussianinterference channel, if in every possible state for each receiver, the channelalways satisfies the TIN-optimality condition identified by Geng et al., thenthe GDoF region of the compound channel is the intersection of the GDoF regionsof all possible network realizations, which is achievable by power control andTIN. Furthermore, we demonstrate that for a general K-user compoundinterference channel, regardless of the number of states of each receiver, wecan always construct a counterpart K-user regular interference channel that hasthe same TIN region as the original compound channel. The regular interferencechannel has only one state for each receiver, which may be different from allof the original states. Solving the GDoF-based power control problem for thecompound channel is equivalent to solving the same problem in its regularcounterpart. Exploring the power control problem further we develop acentralized power control scheme for K-user compound interference channels, toachieve all the Pareto optimal GDoF tuples. Finally, based on this scheme, wedevise an iterative power control algorithm which requires at most K updates toobtain the globally optimal power allocation for any feasible GDoF tuple.

On the Optimality of Treating Interference as Noise: Compound Interference Networks