Precision of the estimation of area coverage by planning tools in cellular systems

Pattuelli, R.; Zingarelli, V.

doi:10.1109/98.847923

Cited by 10 publications

(7 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Terrain parameter C f estimation requires a moderate (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) number of measurements per terrain feature type. Equation (1) requires an estimated value of the average path loss exponent α and the weight, C f , per terrain feature, to be determined as one-time overhead.…”

Section: Refinement With Measurementsmentioning

confidence: 99%

Assessment of urban-scale wireless networks with a small number of measurements

Robinson

Swaminathan

Knightly

2008

Proceedings of the 14th ACM International Conference on Mobile Computing and Networking

View full text Add to dashboard Cite

In order to evaluate, improve, or expand a deployed, citywide wireless mesh network, it is necessary to assess the network's spatial performance. In this paper, we present a general framework to accurately predict a network's wellserved area, termed the metric region, via a small number of measurements. Assessment of deployed networks must address two key issues: non-uniform physical-layer propagation and high spatial variance in performance. Addressing nonuniformity, our framework estimates a mesh node's metric region via a data-driven sectorization of the region. We find each sector's boundary (radius) with a two-stage process of estimation and then measurement-driven "push-pull" refinement of the estimated boundary. To address high spatial variation, our coverage estimation couples signal strength measurements with terrain information from publicly available digital maps to estimate propagation characteristics between a wireless node and the client's location. To limit measurements and yield connected metric regions, we consider performance metrics (such as signal strength) to be monotonic with distance from the wireless node within each sector. We show that despite measured violations in coverage monotonicity, we obtain high accuracy with this assumption. We validate our estimation and refinement framework with measurements from 30,000 client locations obtained in each of two currently operational mesh networks, GoogleWiFi and TFA. We study three illustrative metrics: coverage, modulation rate, and redundancy, and find that to achieve a given accuracy, our framework requires two to five times fewer measurements than grid sampling strategies. Finally, we use the framework to evaluate the two deployments and study the average size and location of their coverage holes as well as the impact of client association policies on load-balancing.

show abstract

Section: Refinement With Measurementsmentioning

confidence: 99%

Assessment of urban-scale wireless networks with a small number of measurements

Robinson

Swaminathan

Knightly

2008

Proceedings of the 14th ACM International Conference on Mobile Computing and Networking

View full text Add to dashboard Cite

show abstract

“…Thus, if the algorithm converges, it converges to a local maximum of the likelihood function. It now remains to be shown how to obtain a set of parameter values from (19). By taking the logarithm of v, given by (7), and substituting it into (18), we get…”

Section: Roos Et Al: a Statistical Modeling Approach To Location Estmentioning

confidence: 99%

“…By using them, we obtain the parameters maximizing (18). This is all that is needed to solve (19) and, in fact, all that is needed to perform an iteration of the EM algorithm. To run the algorithm, in practice, we still need to determine the initial parameter values H and, as EM converges only to a local optimum, it is obvious that this choice may have a strong effect on the final result.…”

Section: Phmentioning

confidence: 99%

See 1 more Smart Citation

A statistical modeling approach to location estimation

Roos

Myllymäki

Tirri

2002

IEEE Trans. on Mobile Comput.

347

293

View full text Add to dashboard Cite

AbstractÐSome location estimation methods, such as the GPS satellite navigation system, require nonstandard features either in the mobile terminal or the network. Solutions based on generic technologies not intended for location estimation purposes, such as the cell-ID method in GSM/GPRS cellular networks, are usually problematic due to their inadequate location estimation accuracy. In order to enable accurate location estimation when only inaccurate measurements are available, we present an approach to location estimation that is different from the prevailing geometric one. We call our approach the statistical modeling approach. As an example application of the proposed statistical modeling framework, we present a location estimation method based on a statistical signal power model. We also present encouraging empirical results from simulated experiments supported by real-world field tests.

show abstract

“…In this way, it is possible to compute the BS coverage ranges by simulation [10]. In [3], the authors presented the propagation model used for these simulations.…”

Section: Coverage Analysismentioning

confidence: 99%

Planning the Base Station Layout in UMTS Urban Scenarios: A Simulation Approach to Coverage and Capacity Estimation

Zola¹,

Barcelo²

2004

Telecommunications and Networking - ICT 2004

View full text Add to dashboard Cite

Abstract. This paper analyzes the performance of a base station layout for a UMTS network in a densely populated city. The study is carried out using snapshot simulations of an actual city (Barcelona, Spain) with specific traffic and propagation profiles. A first layout is proposed in order to guarantee good coverage with a minimum number of base stations. This layout is approached taking into account the link budget analytical calculations and the first simulation results for a single-cell environment. A second layout is then presented in an attempt to solve the problems that arise in the first (e.g. shadows, blind zones, etc.). This is carried out by finely tuning parameters from the first layout, adding new base stations and changing the locations of the existing ones.

show abstract

Precision of the estimation of area coverage by planning tools in cellular systems

Cited by 10 publications

References 1 publication

Assessment of urban-scale wireless networks with a small number of measurements

Assessment of urban-scale wireless networks with a small number of measurements

A statistical modeling approach to location estimation

Planning the Base Station Layout in UMTS Urban Scenarios: A Simulation Approach to Coverage and Capacity Estimation

Contact Info

Product

Resources

About