Improvements of femto-base station resource utilisation and ABS assignment convergence for dynamic ABS assignment

Masayoshi Ozawa, Tomoaki Ohtsuki

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Almost blank subframe (ABS) techniques emerge as inter-cell interference mitigation techniques in time region. One of the conventional ABS techniques is dynamic ABS assignment, which is able to adapt to interference state to protect the outage users more. However, the number of ABS assignments increases to protect a lot of outage users in the dense BS deployment. Therefore, the resource utilisation of base stations (BSs) decreases. Moreover, the convergence time of subframe assignment should be short enough to adapt to the change of environments. In this study, the authors propose a dynamic ABS assignment method to improve the resource utilisation of BSs and the convergence time of subframe assignment. Each BS receives feedback from surrounding BSs and users, and selects its subframe assignment based on the received feedback. Simulation results show that the proposed method improves the resource utilisation of BSs and the convergence time of subframe assignment compared with the conventional dynamic ABS assignment one, while achieving a similar user outage ratio.

Original languageEnglish
Pages (from-to)370-376
Number of pages7
JournalIET Communications
Volume11
Issue number3
DOIs
Publication statusPublished - 2017 Feb 16

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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