Multiobjective self-optimization of the cellular architecture for green 5G networks
Author:
Affiliation:
1. Innov'Com Laboratory, Higher School of Communications of Tunis (Sup'Com); Carthage University; Tunis Tunisia
2. Tunisia Telecom; Tunis Tunisia
Funder
Innov'Com Laboratory, Higher School of Communications of Tunis (Sup'Com)
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/ett.3478/fullpdf
Reference26 articles.
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2. 3GPP Study on Elevation Beamforming/Full-Dimension (FD) MIMO for LTE: 3GPP TR 36.897 V13.0.0 (Release 13) 2015 https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=2580
3. Load balancing with 3-D beamforming in macro-assisted small cell architecture;Yu;IEEE Trans Wirel Commun,2016
4. Liu Y Duan X Boudreau G Sediq AB Wang X Adaptive beamforming based inband fronthaul for cost-effective virtual small cell in 5G networks 2017 Singapore
5. Virtual small cells formation in 5G networks;Behnad;IEEE Commun Lett,2017
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1. A self-organizing base station sleeping and user association strategy for dense cellular networks;Wireless Networks;2020-09-05
2. Approaching the cell switch-off problem in 5G ultra-dense networks with dynamic multi-objective optimization;Future Generation Computer Systems;2020-09
3. Fog computing–based node‐to‐node communication and mobility management technique for 5G networks;Transactions on Emerging Telecommunications Technologies;2019-09-03
4. Multi-carrier, multi-band, and multi-layer cellular layouts using 3D beamforming for 5G ultradense networks;Annals of Telecommunications;2019-03-16
5. How to Meet Increased Capacities by Future Green 5G Networks: A Survey;IEEE Access;2019
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