Abstract
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 language | English |
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Title of host publication | Proceedings of the 22nd Conference of Open Innovations Association FRUCT, FRUCT 2018 |
Publisher | IEEE |
Pages | 280-289 |
Number of pages | 10 |
Volume | 2018-May |
ISBN (Electronic) | 9789526865348 |
DOIs | |
Publication status | Published - 19 Sept 2018 |
MoE publication type | A4 Conference publication |
Event | Conference of Open Innovations Association - Jyväskylä, Finland Duration: 15 May 2018 → 18 May 2018 Conference number: 22 |
Publication series
Name | Proceedings of Conference of Open Innovations Association FRUCT |
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ISSN (Print) | 2305-7254 |
ISSN (Electronic) | 2343-0737 |
Conference
Conference | Conference of Open Innovations Association |
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Abbreviated title | FRUCT |
Country/Territory | Finland |
City | Jyväskylä |
Period | 15/05/2018 → 18/05/2018 |