Novel Fast User-Placement Ushering Algorithms and Performance Analysis for LTE Femtocell Networks

Limeng Pu, Hsiao Chun Wu*, Chiapin Wang, Shih Hau Fang, Supratik Mukhopadhyay, Costas Busch

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Nowadays, the sufficient quality-of-service (QoS) provision for multimedia mobile applications remains a major challenge to any wireless network. Conventional sufficient QoS provision techniques using resource allocation, data scheduling, and cross-layer optimization have been proposed to tackle this problem. Nevertheless, due to the unpredictable nature of wireless channel conditions, the QoS improvements resulting from the aforementioned approaches are often unsatisfactory. In this paper, we would like to further exploit our previous concept, namely user-placement ushering (UPU). A mobile user can be relocated to an optimal, or at least a better place to boost the QoS for a given application. The QoS is measured by the packet-success rate (PSR), which can be further computed from the code-block error-rate (CBER). Novel fast algorithms are devised here to usher (guide) a mobile user to an appropriate spot with sufficient QoS, which is nearby. We address the UPU problem to accommodate the realistic complex indoor environments, where obstacles are present. Our simulation results have demonstrated that our new fast UPU algorithms are capable of finding new appropriate locations satisfying the required QoSs for different wireless network applications.The preliminary results are presented in [1].

Original languageEnglish
Article number8811594
Pages (from-to)381-393
Number of pages13
JournalIEEE Transactions on Cognitive Communications and Networking
Issue number1
Publication statusPublished - 2020 Mar


  • User-placement ushering (UPU)
  • code-block error-rate (CBER)
  • femtocell networks
  • mobile positioning
  • order statistics
  • packet-success rate (PSR)
  • quality-of-service (QoS) provision

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


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