Parameter optimization using local search for CRE and eICIC in heterogeneous network

Kurumi Yamamoto, Tomoaki Ohtsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In heterogeneous network where picocells are overlaid onto macrocells, combined usage of cell range expansion (CRE) and enhanced inter-cell interference coordination (eICIC) is very effective in improving the system capacity. Two parameters of the CRE bias value and the ratio of ABS (almost blank subframe) affect each other. Thus, the comprehensive control of both parameters is very important to improve the system capacity and fairness among user equIPments (UEs). The conventional parameter optimization method, which uses the Nash bargaining solution, can keep fairness among UEs, while improving system throughput. However, a fixed pair of these parameters used in this method is not always appropriate due to varying distribution of UEs. In this paper, we focus on a convex characteristic of the cell-edge UE capacity for the ABS ratio and propose a parameter optimization using local search with small computational complexity. Simulation results show that parameter setting by the proposed scheme improves system capacity and cell-edge UE capacity, compared with the conventional approach.

Original languageEnglish
Title of host publicationIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1536-1540
Number of pages5
Volume2015-June
ISBN (Print)9781479949120
DOIs
Publication statusPublished - 2015 Jun 25
Event2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014 - Washington, United States
Duration: 2014 Sep 22014 Sep 5

Other

Other2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014
CountryUnited States
CityWashington
Period14/9/214/9/5

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Yamamoto, K., & Ohtsuki, T. (2015). Parameter optimization using local search for CRE and eICIC in heterogeneous network. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC (Vol. 2015-June, pp. 1536-1540). [7136412] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2014.7136412