Multi-carrier 3D beamforming for 5G ultra-dense cellular networks

Ferhi, Leila Aissaoui; Sethom, Kaouthar; Choubani, Fethi

doi:10.1109/aset.2018.8379862

Cited by 5 publications

(9 citation statements)

References 9 publications

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“…The FD‐MIMO allows a dynamic 3D shaping of narrow beams transmitted by an AAS array . The 3D VSC location and coverage are defined by the AAS parameters (azimuth, tilt, half‐power beamwidths) …”

Section: Multiobjective Self‐optimizing Network Frameworkmentioning

confidence: 99%

“…2 The 3D VSC location and coverage are defined by the AAS parameters (azimuth, tilt, half-power beamwidths). 18 The objective of our framework is to find good network designs ND(T, K, C, U ) for the UE distribution U ensuring the following:…”

Section: Moson Formulationmentioning

confidence: 99%

“…In this paper, we are modeling 3D sectorization for downlink (DL), multilayer (macro and VSC), multiband (2 GHz and 3.5 GHz) OFDMA cellular network operating in frequency‐division duplexing (FDD) mode and conform at least to 3GPP Release 13. We are using the same sectorization layouts defined in our works assuming an FD‐MIMO (see Figure ) cellular network having macro and VSC layers with a total number of T sites, K sectors, c _max carriers, and multicarrier four‐sector cellular layouts.…”

Section: System Modelmentioning

confidence: 99%

“…There is no global optimal solution to this type of optimization problem, but there are suboptimal solutions able to maintain suitable trade‐off between the conflicting objectives, which is the subject of our work. In this paper, we propose a multiobjective self‐optimization network (MOSON) framework to study the dynamic 3D sectorization for multicell orthogonal frequency‐division multiple access (OFDMA) cellular networks as continuity of our works . The SON controllers take into account coverage, capacity, mobility, load balancing, and energy saving constraints, which are conflicting objectives needing multiobjective SON coordination to maintain a global performance fairly.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…In this paper, we propose a multiobjective self-optimization network (MOSON) framework to study the dynamic 3D sectorization for multicell orthogonal frequency-division multiple access (OFDMA) cellular networks as continuity of our works. 17,18 The SON controllers take into account coverage, capacity, mobility, load balancing, and energy saving constraints, which are conflicting objectives needing multiobjective SON coordination to maintain a global performance fairly. Our main contributions are as follows.…”

Section: Introduction and Related Workmentioning

confidence: 99%

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Multiobjective self‐optimization of the cellular architecture for green 5G networks

Ferhi

Sethom

Choubani

et al. 2018

Trans Emerging Tel Tech

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Cellular architecture, energy efficiency, and self‐optimizing network are key features to meet the forecast requirements of the fifth‐generation networks. Frequently, the major optimization focus is on maximizing the data rate, but many other objectives are considered ahead to be optimized in the standardization of green fifth‐generation networks such as ubiquitous coverage, cost, availability, latency, automation, energy efficiency, load balancing, mobility, and awareness, which are often conflicting objectives. In this paper, we propose a multiobjective evolutionary framework using a real traffic profile and three‐dimensional beamforming to ensure green self‐optimization of the network cellular layouts. The framework is based on a genetic algorithm (GA) handling conflicting objectives: coverage, capacity, energy efficiency, load balancing, and mobility. The simulation results show a dynamic and automated design of the network layouts following the spatial and temporal fluctuation of the traffic. The sectors are switched‐on, shaped, and switched‐off only where and when required for both macro and virtual small cell layers.

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Section: Multiobjective Self‐optimizing Network Frameworkmentioning

confidence: 99%

Section: Moson Formulationmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introduction and Related Workmentioning

confidence: 99%

Section: Introduction and Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Multiobjective self‐optimization of the cellular architecture for green 5G networks

Ferhi

Sethom

Choubani

et al. 2018

Trans Emerging Tel Tech

Self Cite

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Higher Order Sectorization in FFR-Aided OFDMA Cellular Networks: Spectral- and Energy-Efficiency

2019

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It is well known that per macro-site spectral efficiency (SE) can be increased through higher order sectorization (HOS) by radially partitioning the coverage area of each site into multiple sectors and reusing the spectral resources in each sector and across all sites. In order to further reinforce its benefits, HOS can be combined with fractional frequency reuse (FFR) techniques to improve the SE and/or energy efficiency (EE) of the network. This paper presents an analytical framework that is used to assess the sectorization performance in terms of both the SE and EE in the downlink of HOS/FFRaided orthogonal frequency-division multiple access (OFDMA)-based macro-cellular networks. Tractable mathematical expressions are derived for the round robin, the proportional fair, and the maximum signalto-interference-plus-noise ratio scheduling rules and the corresponding capacities. The results show the impact of the sectorization gain on the system performance for different cell-edge frequency reuse factor values. Furthermore, an optimization problem for the HOS/FFR-aided OFDMA-based network is addressed, allowing a tradeoff between the EE performance and fairness by suitably dimensioning the FFR inner and outer areas and the corresponding frequency allocation to each of these regions.

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RAT-Mania: Advancing Multi-RAT Networks With Optimal Beamforming, Slot, and Power Allocation, Through Optimization, Heuristics, and Learning

Mankowski,

Vijayaraghavan,

Kellerer

2024

IEEE Access

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Multi-carrier 3D beamforming for 5G ultra-dense cellular networks

Cited by 5 publications

References 9 publications

Multiobjective self‐optimization of the cellular architecture for green 5G networks

Multiobjective self‐optimization of the cellular architecture for green 5G networks

Higher Order Sectorization in FFR-Aided OFDMA Cellular Networks: Spectral- and Energy-Efficiency

RAT-Mania: Advancing Multi-RAT Networks With Optimal Beamforming, Slot, and Power Allocation, Through Optimization, Heuristics, and Learning

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