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

With small cell networks becoming core parts of the fifth generation (5G)cellular networks, it is an important problem to evaluate the impact of usermobility on 5G small cell networks. However, the tendency and clustering habitsin human activities have not been considered in traditional user mobilitymodels. In this paper, human tendency and clustering behaviors are firstconsidered to evaluate the user mobility performance for 5G small cell networksbased on individual mobility model (IMM). As key contributions, user pauseprobability, user arrival and departure probabilities are derived in this paperfor evaluat-ing the user mobility performance in a hotspot-type 5G small cellnetwork. Furthermore, coverage probabilities of small cell and macro cell BSsare derived for all users in 5G small cell networks, respectively. Comparedwith the traditional random waypoint (RWP) model, IMM provides a differentviewpoint to investigate the impact of human tendency and clustering behaviorson the performance of 5G small cell networks.

User Mobility Evaluation for 5G Small Cell Networks Based on Individual Mobility Model