A planning and optimization framework for hybrid ultra-dense network topologies

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The deployment of small cells has been a critical upgrade in fourth-generation mobile networks as they provide macrocell traffic offloading gains, improved spectrum reuse and reduce coverage holes. The need for small cells will be even more critical in fifth-generation networks due to the introduction of higher spectrum bands, which necessitate denser network deployments to support larger traffic volumes per unit area. A network densification scenario envisioned for evolved fourth and fifth generation networks is the deployment of ultra-dense networks with small cell site densities exceeding 90 sites/km 2(or inter-site distances of less than 112 m). The careful planning and optimization of ultra-dense networks topologies have been known to significantly improve the achievable performance compared to completely random (unplanned) ultra-dense network deployments by various third-party stakeholders (e.g. homeowners). However, these well-planned and optimized ultra-dense network deployments are difficult to realize in practice due to various constraints, such as limited or no access to preferred optimum small cell site locations in a given service area. The hybrid ultra-dense network topologies provide an interesting trade-off, whereby, an ultra-dense network may constitute a combination of operator optimized small cell deployments that are complemented by random small cell deployments by third-parties. In this study, an ultra-dense network multiobjective optimization framework and post-deployment power optimization approach are developed for realization and performance comparison of random, optimized and hybrid ultra-dense network topologies in a realistic urban case study area. The results of the case study demonstrate how simple transmit power optimization enable hybrid ultra-dense network topologies to achieve performance almost comparable to optimized topologies whilst also providing the convenience benefits of random small cell deployments.

Original languageEnglish
Title of host publicationProceedings of the 22nd Conference of Open Innovations Association FRUCT, FRUCT 2018
Number of pages10
ISBN (Electronic)9789526865348
Publication statusPublished - 19 Sep 2018
MoE publication typeA4 Article in a conference publication
EventConference of Open Innovations Association - Jyväskylä, Finland
Duration: 15 May 201818 May 2018
Conference number: 22

Publication series

NameProceedings of Conference of Open Innovations Association FRUCT
ISSN (Print)2305-7254
ISSN (Electronic)2343-0737


ConferenceConference of Open Innovations Association
Abbreviated titleFRUCT

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