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Spectral and energy efficiency of ultra-dense networks under different deployment strategies
Abstract
To tackle the 1000× mobile data challenge, the research towards the 5th generation of mobile cellular networks is currently ongoing. One clear enabler toward substantially improved network area capacities is the increasing level of network densification at different layers of the overall heterogeneous radio access system. Ultra-dense deployments, or DenseNets, seek to take network densification to a whole new level, where extreme spatial reuse is deployed. This article looks into DenseNets from the perspectives of different deployment strategies, covering the densification of the classical macro layer, extremely dense indoor femto layer, as well as outdoor distributed antenna system (DAS), which can be dynamically configured as a single microcell or multiple independent microcells. Also, the potential of a new indoor-to-outdoor service provisioning paradigm is examined. The different deployment solutions are analyzed from the network area spectral and network energy efficiency perspectives, with extreme densification levels, including both indoor and outdoor use scenarios. The obtained results indicate that dedicated indoor solutions with densely deployed femtocells are much more spectrumand energy-efficient approaches to address the enormous indoor capacity demands compared to densifying the outdoor macro layer, when the systems are pushed to their capacity limits. Furthermore, the dynamic outdoor DAS concept offers an efficient and capacity-adaptive solution to provide outdoor capacity, on demand, in urban areas.
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“Cooperative relay communications and network densification would also help to reduce the transmit power of mobile device by reducing the per-hop signal propagation distance [64], [65].”
From What should 6G be? (2020) · cites this paper as [65]
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Xu, T., Hu, H., & Zhang, M. (2018) · IEEE Systems Journal · doi:10.1109/jsyst.2018.2853116 · Cited by 8
Cooperative Game-Based Energy Efficiency Management over Ultra-Dense Wireless Cellular Networks
Li, M., Chen, P., & Gao, S. (2016) · Sensors · doi:10.3390/s16091475 · Cited by 8
Metadata
- Authors
- Yunas, S., Valkama, M., & Niemelä, J.
- Affiliations
- Tampere University of Technology (FI)
- Elisa (Finland) (FI)
- Venue
- IEEE Communications Magazine
- Published
- 2015-01
- Volume
- 53
- Issue
- 1
- Pages
- 90-100
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2043827481
- Cited by
- 209
- References
- 13
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 5 · 2022: 9 · 2021: 18 · 2020: 19 · 2019: 31 · 2018: 37 · 2017: 36 · 2016: 38 · 2015: 7
- FWCI
- 18.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Communications Magazine (publishedVersion)
- Funders
- Tekes
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Physical Sciences › Engineering › Aerospace Engineering › UAV Applications and Optimization
- Keywords
- ultra-dense networks, network densification, spectral efficiency, energy efficiency, femtocells, distributed antenna systems, microcells, heterogeneous cellular networks, 5G
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