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

Ensuring ultra-reliable and low latency communications (URLLC) is necessaryfor enabling delay critical applications in 5G HetNets. We propose a joint userto BS association and resource optimization method that is attractive for URLLCin HetNets with Cellular Base Stations (CBSs) and Small Cell Base Stations(SBSs), while also reducing energy and bandwidth consumption. In our scheme,CBSs share portions of the available spectrum with SBSs, and they in exchange,provide data service to the users in their coverage area. We first show thatthe CBSs optimal resource allocation (ORA) problem is NP-hard andcomputationally intractable for large number of users. Then, to reduce its timecomplexity, we propose a relaxed heuristic method (RHM) which breaks down theoriginal ORA problem into a heuristic user association (HUA) algorithm and aconvex resource allocation (CRA) optimization problem. Simulation results showthat the proposed heuristic method decreases the time complexity of finding theoptimal solution for CBS's significantly, thereby benefiting URLLC. It alsohelps the CBSs to save energy by offloading users to SBSs. In our simulations,the spectrum access delay for cellular users is reduced by 93\% and the energyconsumption is reduced by 33\%, while maintaining the full service rate.

Joint User Association and Resource Allocation Optimization for Ultra Reliable Low Latency HetNets