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

The development of mobile virtual network operators, where multiple wirelesstechnologies (e.g. 3G and 4G) or operators with non-overlapping bandwidths arepooled and shared is expected to provide enhanced service with broadercoverage, without incurring additional infrastructure cost. However, theiremergence poses an unsolved question on how to harness such a technology andbandwidth diversity. This paper addresses one of the simplest questions in thisclass, namely, the issue of associating each mobile to one of those bandwidths.Intriguingly, this association issue is intrinsically distinct from those intraditional networks. We first propose a generic stochastic geometry modellending itself to analyzing a wide class of association policies exploitingvarious information on the network topology, e.g. received pilot powers andfading values. This model firstly paves the way for tailoring and designing anoptimal association scheme to maximize any performance metric of interest (e.g.the probability of coverage) subject to the information known about thenetwork. In this class of optimal association, we prove a result that theperformance improves as the information known about the network increases.Secondly, this model is used to quantify the performance of any arbitraryassociation policy and not just the optimal association policy. We propose asimple policy called the Max-Ratio which is not-parametric, i.e. it dispenseswith the statistical knowledge of base station deployments in stochasticgeometry models. We also prove that this simple policy is optimal in a certainlimiting regime of the wireless environment. Through simulations, we provideinsights into (i) a practical compromise between performance gain and cost ofestimating information and; (ii) the selection of association schemes underenvironments with different propagation models, i.e. path-loss exponents.

Performance-Oriented Association in Large Cellular Networks with Technology Diversity