Adaptive Beamforming Based Inband Fronthaul for Cost-Effective Virtual Small Cell in 5G Networks

Liu, Yanan; Duan, Xiaoyu; Boudreau, Gary; Sediq, Akram Bin; Wang, Xianbin

doi:10.1109/glocom.2017.8254787

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…A green approach on the macro site 3 BS LTE using picocells has been studied in [24] and a power consumption study for the proposed system is provided in [9]. Also a beamforming design minimizing the total power while maintaining throughput rate requirement is proposed in [10].…”

Section: Virtual Small Cell Architecture and System Modelmentioning

confidence: 99%

“…We call this concept virtual small cell (VSC) which consists of highly directive beam working in co-channel that point to cluster estimated hotspot, increasing the signal interference noise ratio (SINR) with massive MIMO at the BS and without small cells [9]. Reduction of co-channel interference by using an unlicensed band for the VSCs is proposed in [10]. Security and caching aspects for VSCs have been considered in [11,12] respectively, while ergodic sum-rate has been derived in [13] for VSCs.…”

Section: Introductionmentioning

confidence: 99%

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The virtual small cells based on UE positioning: a network densification solution

Santana

Lopez

Galindo-Serrano

2018

EURASIP J. Adv. Signal Process.

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Next wireless generation mobile networks will be composed of a large number of antennas at the base station (BS), which is known as massive multiple input multiple output (MIMO). Thanks to this technology, the BS can focus the energy on a user equipment (UE) or group of UEs to improve their throughput and the network capacity. We call these coverage areas virtual small cells (VSCs). Their main advantage is that they allow increasing the network capacity through a virtual densification, therefore, avoiding the deployment cost of new infrastructure. Identifying the dense traffic areas in real time and providing a good quality of service arises as a key challenge to be addressed. Our work focuses on the interaction between the VSCs and the identification of the dense traffic areas, where a feedback scheme is proposed. This feedback scheme is based on the location of these dense traffic areas provided by our proposed clustering methods. To conduct this research, we propose (i) a VSC architecture and system model with a specific codebook in order to avoid feedback overhead, and (ii) two positioning algorithms in order to determine the hotspots localization. The first positioning algorithm is based on K-means method and is centralized at the BS using Global Positioning System (GPS) coordinates, and the second one is based on cooperative communications using ultra-wideband (UWB) signals in order to avoid the network participation. Finally, simulations of these positioning methods intended for the use of the VSCs are presented. These results show significant improvement compared to already existing methods. Furthermore, these positioning methods highly reduce the feedback since, accordingly to our VSC model, the BS only requires angles information based on the localized hotspots.

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Section: Virtual Small Cell Architecture and System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The virtual small cells based on UE positioning: a network densification solution

Santana

Lopez

Galindo-Serrano

2018

EURASIP J. Adv. Signal Process.

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“…• We have used 3D sectorization, 3GPP 3D channel model, and 3D UE dropping that we consider mandatory to zoom in the performance of UEs located in the elevation dimension such as high-rise buildings. Most previous research studies on sectorization have used 2D channel model, passive antenna systems, and UE dropping at 1.5 m. [3][4][5][6][8][9][10][11][12][13][14][15] • Unlike probabilistic traffic estimation, we have used a real history of hourly traffic and key performance indicators (KPIs) of a live LTE-Advanced network (3GPP Release 12) to forecast the nearby future traffic trends. It is a precise way to show the traffic fluctuation during the day and to exploit peak-off time and busy hours to trigger CSO.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…One of the recent key topics in 5G networks is the ultra‐dense network (UDN) in macro and virtual small cell (VSC) layers taking advantages of 3D sectorization using active antenna systems (AASs) . The VSC deployment has been studied in other works in a two‐dimensional (2D) sectorization context. A VSC is created using large antenna arrays that generate very narrow beam.…”

Section: Introduction and Related Workmentioning

confidence: 99%

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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Deep Learning-based Coordinated Beamforming for Massive MIMO-Enabled Heterogeneous Networks

Zhang

Wang

et al. 2021

2021 IEEE Global Communications Conference (GLOBECOM)

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Adaptive Beamforming Based Inband Fronthaul for Cost-Effective Virtual Small Cell in 5G Networks

Cited by 7 publications

References 17 publications

The virtual small cells based on UE positioning: a network densification solution

The virtual small cells based on UE positioning: a network densification solution

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

Deep Learning-based Coordinated Beamforming for Massive MIMO-Enabled Heterogeneous Networks

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