Topology and irregularity in cellular networks

González, David; Hämäläinen, Jyri

doi:10.1109/wcnc.2015.7127727

Cited by 12 publications

(13 citation statements)

References 14 publications

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“…and it is done taking into account the load-coupling model (including service demand spatial distribution, interference, and so on). In addition, as it is discussed in [10], achieving the previous goal also maximizes the service demand volume the network is able to manage.…”

Section: Power Optimizationmentioning

confidence: 97%

“…The research framework under consideration, shown in Fig. 1, is motivated by the notion of service demand and capacity provision compatibility [10], in which more access points (with smaller cell areas) are required where the service demand is concentrated.…”

Section: Framework Description and System Modelmentioning

confidence: 99%

“…In this work, and as a part of the framework presented herein, a different power optimization formulation is presented and studied. In order to be aligned with [10], where a notion of irregularity is defined in terms of the dispersion of the load vector α, the proposed power optimization aims at minimizing the variance of α, i.e., Var{α}, using p as optimization variable.…”

Section: Power Optimizationmentioning

confidence: 99%

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Spatial Mappings for Planning and Optimization of Cellular Networks

Gonzalez

Hakula

Rasila

et al. 2018

IEEE/ACM Trans. Networking

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In cellular networks, users are grouped into different cells and served by different access points (base stations) that provide wireless access to services and applications. In general, the service demand is very heterogeneous, non-uniformly distributed, and dynamic. Consequently, radio access networks create very irregular topologies with more access points where service demand is concentrated. While this dynamism requires networks with the ability to adapt to time-varying conditions, the non-uniformity of the service demand makes the planning, analysis, and optimization difficult. In order to help with these tasks, a framework based on canonical domains and spatial mappings (e.g., conformal mapping) have recently been proposed. The idea is to carry out part of the planning in a canonical (perfectly symmetric) domain that is connected to the physical one (real-scenario) by means of a spatial transformation designed to map the access points consistently with the service demand. This paper continues the research in that direction by introducing additional tools and possibilities to that framework, namely the use of centroidal Voronoi algorithms and non-conformal composite mappings. Moreover, power optimization is also introduced to the framework. The results show the usability and effectiveness of the proposed method and its promising research perspectives. I. INTRODUCTION A. Context and motivationRadio access planning and optimization are fundamental tasks in cellular networks. Broadly speaking, planning refers to the tasks of determining the number, location, and configuration of access points to provide wireless access to users (and things) to services and applications, with a certain targeted Quality of Service (QoS). In particular, the problem of finding the number of access points is also referred to as dimensioning [1], and this initial step aims at providing the required capacity for the service demand volume that is expected. However, in practice, both dimensioning and sites positioning are very difficult problems because the service demand is not uniformly distributed and it is quite diverse and dynamic. Nowadays, taking into account the continuous evolution of radio access technologies, and the new concepts and paradigms that are expected for the fifth generation (5G) of cellular networks, the boundary between planning and optimization tasks becomes blurred. Indeed, according to the excellent work presented in [1], planning and optimization are iterative tasks that go hand-in-hand. In this line of thinking, the authors of [2] also pose the need for re-thinking planning. They emphasize the importance of distributing the service demand as evenly as possible among cells as a key criterion to achieve effective planning; a goal that in the opinion of the authors of [2] (and in our's) is a very valid way to enhance system performance.In our previous work [3], also motivated by the aforementioned ideas, a novel framework for planning and optimization based on the use of canonical domains and spatial transforma...

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Section: Power Optimizationmentioning

confidence: 97%

Section: Framework Description and System Modelmentioning

confidence: 99%

Section: Power Optimizationmentioning

confidence: 99%

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Spatial Mappings for Planning and Optimization of Cellular Networks

Gonzalez

Hakula

Rasila

et al. 2018

IEEE/ACM Trans. Networking

Self Cite

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“…Hexagonal geometries is evaluated in real world for various networks. Hexagonal geometry on real world data is a part of deterministic model [11]. Cellular communication have shown exponentially growth worldwide.…”

Section: Topologies and Irregularities In Wireless Networkmentioning

confidence: 99%

Development of Efficient Protocol for Residual Energy of a Node in Wireless Adhoc Network using Pareto Distribution

Kurumbanshi¹,

S.V²

2017

IJET

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Abstract-one of the major issue in wireless Adhoc network is to enhance the lifespan of wireless Adhoc Network. These networks will be useful for self organizing, self-configuration and for detecting radio connectivity for the dynamic operation. We always require quick & cost effective deployment in applications like battlefield, emergency search and rescue operation & collaborative computing. In this paper we have simulated wireless adhoc networks for various routing protocols, probabilistic approaches, and channel models towards improving the capacity of wireless adhoc network. Also there are many important optimization techniques which helps in reducing energy of a wireless nodes. ACO & PSO techniques plays important role in saving energy of a node at a greater extent. We basically focus on arrival of packets & its distribution to route packet using various approaches i.e. exponential, Pareto, constant and many more & its impact on energy has been studied for improvising the capacity of wireless Adhoc network. These networks are strong enough to set up fixed infrastructure in commercial application among group of soldier in enemy territories as well as it will be useful in coordination of military objects moving at a high speed such as fleets of airplanes or warships.

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“…In Addis Ababa, Ethiopia, the telecom operator ethio telecom has rolled out its first LTE deployment and expects major improvements in performance to meet the growing service demand. The exponential growth in service demand, not only raises up the need for high capacity provision, but also it is often accompanied with load imbalances that can degrade the Quality of Service (QoS) [2]. In case of emerging nations, the spatio-temporal dynamics of the service demand can be mainly attributed to the rise of new buildings and changes in living patterns of the people in growing urban and suburban areas.…”

Section: Introductionmentioning

confidence: 99%

User association and load balancing in long term evolution network in Addis Ababa, Ethiopia

Bulti

Woldegebreal

Gonzalez³

et al. 2015

Africon 2015

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The exponential growth in mobile data demand is increasing the need for high capacity provisioning. To satisfy this demand, mobile operators are deploying latest generation of cellular technologies, such as Long Term Evolution. Moreover, the non-uniformity in service demand distribution is creating load imbalance on wireless networks. This imbalance reduces the capacity of the networks and various load balancing strategies are being implemented to circumvent it. This paper investigates a geographic load balancing algorithm, called Bubble Oscillation Algorithm in LTE networks and beyond. The BOA is customized to make it feasible in a real LTE network. A realistic test case network in Addis Ababa, Ethiopia, is used to validate the algorithm and compared it with the default LTE user association criteria, the best Reference Signal Received Power. The numerical results show that, BOA improves users throughput at the celledge up to 67.1% as compared to the best RSRP. Considering the number of unassociated users as a second criteria for comparison, service outage for BOA is 7.20% while that of the best RSRP is 40.93% when the service demand is equal to total system capacity, which is a significant improvement.

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Topology and irregularity in cellular networks

Cited by 12 publications

References 14 publications

Spatial Mappings for Planning and Optimization of Cellular Networks

Spatial Mappings for Planning and Optimization of Cellular Networks

Development of Efficient Protocol for Residual Energy of a Node in Wireless Adhoc Network using Pareto Distribution

User association and load balancing in long term evolution network in Addis Ababa, Ethiopia

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