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

Ultra-reliability and low latency communication has long been an importantbut challenging task in the fifth and sixth generation wireless communicationsystems. Scheduling as many users as possible to serve on the limitedtime-frequency resource is one of a crucial topic, subjecting to the maximumallowable transmission power and the minimum rate requirement of each user. Weaddress it by proposing a mixed integer programming model, with the goal ofmaximizing the set cardinality of users instead of maximizing the system sumrate or energy efficiency. Mathematical transformations and successive convexapproximation are combined to solve the complex optimization problem. Numericalresults show that the proposed method achieves a considerable performancecompared with exhaustive search method, but with lower computationalcomplexity.

Maximizing the Set Cardinality of Users Scheduled for Ultra-dense uRLLC Networks