Capacity Demand based Multiobjective Optimal Small Cell Placement under Realistic Deployment Scenario

Ashagrie Getnet Flattie, Beneyam B. Haile, Dereje Hailemariam, Edward Mutafungwa, Jyri Hamalainen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)
66 Downloads (Pure)

Abstract

To address operator's capacity challenges, efficient demand driven deployment of 4G and 5G small cells considering multiple targets of the operator is very important. To that end, multiobjective optimized small cell planning methodology has recently been proposed. Yet, the method does not provide straightforward mechanism to consider operator's spatial capacity demand that can be obtained from operator's existing network capacity and data market targets. In this work, we present a capacity demand based multiobjective optimal small cell placement method and its performance analysis for exemplary service area of Addis Ababa. To formulate spatial capacity demand, we use spatial user and traffic distribution data from network management system of existing network. As an input for Matlab based network simulation multiobjective optimization, propagation is computed using deterministic ray tracing model over 3D building and terrain map of the service area. The multiobjective optimization is performed for network capacity and cost objectives in this work using a Genetic Algorithm. Results show that the multiobjective placement method presents optimal small cell topologies that meet operator's spatial capacity demand while optimizing aggregate network capacity and cost. The optimization reduced 185-network topology to 45-130 optimal network topologies while significantly improving network capacity. The capacity improvement shows significant user throughput improvement effect. For instance, the 130-topology provides 57% gain in 90%-ile user throughput compared to the not optimized 185-topology.

Original languageEnglish
Title of host publicationIEEE AFRICON 2019
Subtitle of host publicationPowering Africa's Sustainable Energy for All Agenda: The Role of ICT and Engineering, AFRICON 2019
PublisherIEEE
Number of pages5
ISBN (Electronic)9781728132891
DOIs
Publication statusPublished - Sep 2019
MoE publication typeA4 Article in a conference publication
EventIEEE AFRICON Conference - Accra, Ghana
Duration: 25 Sep 201927 Sep 2019

Publication series

NameIEEE AFRICON Conference
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033

Conference

ConferenceIEEE AFRICON Conference
Abbreviated titleAFRICON
Country/TerritoryGhana
CityAccra
Period25/09/201927/09/2019

Keywords

  • 5G
  • Capacity Demand
  • Data Analytics
  • Genetic Algorithm
  • Heterogeneous Network
  • LTE
  • LTE-advanced
  • Multiobjecive optimization
  • NMS
  • Optimal Cell Placement
  • Small Cell Planning

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