Coordinated location-based self-optimization for indoor femtocell networks

Aguilar-Garcı́a, Alejandro; Barco, Raquel; Fortes, Sergio

doi:10.1016/j.comnet.2016.06.009

Cited by 3 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second case occurs when the analyzed cell does not have the closest Υ, therefore Equation (4) will be obtained from the difference between the first adjacent cell j and the cell with the smallest radio distance (cell i ), as shown in Equation (6).…”

Section: Proposed Social-aware Load Balancing Systemmentioning

confidence: 99%

“…Once key performance indicators (KPIs) and counters are analyzed, they are included in the network optimization process based on Self-Organized Network (SON) paradigm to improve performance while reducing operational expenditure (OPEX) and capital expenditure (CAPEX) [4]. However, the automatic adaptation of applications, systems, and devices to users' context changes provides useful external network information that is not yet included in this classical SON mechanisms [5,6]. This has been identified by previous works, particularly in the field of integrating into the cellular management the UE positions [7,8,9,10] and its applications in use [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Social-Aware Load Balancing System for Crowds in Cellular Networks

et al. 2021

View full text Add to dashboard Cite

Over time, load balancing systems in cellular networks have been key to avoiding overload problems in the network and to maintaining a correct resource allocation and performance. However, the classical approaches were not designed for the dynamism generated by user behavior. The big crowds of users at certain social venues are one of the main concerns of mobile operators due to the load imbalance generated. Additionally, the mobility of users who attend social events (e.g., sports events, concerts, etc.) greatly impacts network performance due to its high correlation with network traffic. The availability to inform about events, particularly regarding venue location (e.g., stadiums, concert halls, convention centers) is exponentially growing thanks to its proliferation in social networks through geolocation databases and other functionalities. Therefore, the present work proposes a novel load balancing system integrating a fuzzy logic controller algorithm with social-awareness, which considers the relative position between cell sites and the social event venue in order to configure the network parameters. This approach is evaluated for different configurations of load balancing methods simulated on an urban macro scenario, mitigating the impact of the number of users per cell without degrading the signal quality. In this way, results show that social event data information plus soft or aggressive transmission power changes in cells can help to maintain the balance in the number of users per cell during mass events.

show abstract

Section: Proposed Social-aware Load Balancing Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Social-Aware Load Balancing System for Crowds in Cellular Networks

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Other works in the literature combine location information and network optimization, but are not targeting mmWave systems. For example, [14] leverages location data to optimize the load of indoor femto-cells, whereas [15] considers automatic peer node discovery as a possible networking-related application.…”

Section: Introductionmentioning

confidence: 99%

LEAP: Location Estimation and Predictive Handover with Consumer-Grade mmWave Devices

Palacios

Casari

Assasa

et al. 2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

View full text Add to dashboard Cite

Future millimeter-wave networks will support very high densities of devices and access points. This vastly increases the overhead required for access point selection and beam training. Fortunately, the quasi-optical properties of millimeterwave channels make location-based network optimization a highly promising technique to reduce control overhead in such millimeter-wave WLANs. In this paper, we extract channel state information from off-the-shelf routers, we use it to design a high accuracy location system, and then show how location information enables the optimization of network operations. The resulting scheme, named LEAP, can predict blockage, optimize access point association, and select the most suitable antenna beam patterns while significantly reducing the beam training overhead. We show that compared to standard state-of-the-art 802.11ad systems, LEAP's location driven management greatly improves network performance and link stability.

show abstract

The Approach to Network Planning Process Improvement

Globa

Prokopets

2021

Current Trends in Communication and Information Technologies

View full text Add to dashboard Cite

Coordinated location-based self-optimization for indoor femtocell networks

Cited by 3 publications

References 29 publications

Social-Aware Load Balancing System for Crowds in Cellular Networks

Social-Aware Load Balancing System for Crowds in Cellular Networks

LEAP: Location Estimation and Predictive Handover with Consumer-Grade mmWave Devices

The Approach to Network Planning Process Improvement

Contact Info

Product

Resources

About