Examples of multiple criteria ranking in the design of cellular networks of mobile telecommunication

• Autorzy: Klimasara E. , Wierzbicki A. P.

Identyfikatory

DOI

10.7494/csci.2018.19.1.2637

• Języki publikacji: EN

Abstrakty

EN

The paper addresses planning and design of contemporary networks of mobile telecommunication, where an existing network is subject to far reaching development and modication, thus evolution with diverse requirements of users and diverse density of network cells. This leads to considering diverse variants of network designs. When several variants of network designs are available, an investor might ask for a ranking of these variants. The investor is obviously not bounded by the results of such a ranking and might select a variant not highest in the ranking, but an objectied ranking might help in the selection. Therefore, the paper presents the way of computing and examples of objectied multiple criteria ranking, possibly not requiring the determination of weighting coecients.

Słowa kluczowe

EN

design of cellular networks; network evolution; variants of network designs; multiple criteria ranking of network designs; objectified ranking

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2018
• Tom: Vol. 19 (1)
• Strony: 99--112
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Klimasara E.

• National Institute of Telecommunications, Warsaw, Poland

autor

Wierzbicki A. P.

• National Institute of Telecommunication, Warsaw, Poland

Bibliografia

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• [2] Amaldi E., Capone A., Malucelli F., Mannino C.: Optimization problems and models for planning cellular networks: Handbook of optimization in telecommunications, Springer, 2006.
• [3] Bezruk V.M., Chebotarova D.V.: Methods of multi-criteria optimization in planning networks of mobile communication, Kharkiv National University of Radio Electronics, 2014.
• [4] Chen L.: Performance Engineering of Mobile Broadband: Capacity Analysis, Cellular Network Optimization, and Design of In-Building Solutions, Ph.D. thesis, Linkoping University, 2013.
• [5] Cong G.: Pico Cell Densication Study in LTE Heterogeneous Networks, M.Sc. thesis, 2012.
• [6] Desalegn H.: Techno-Economic Analysis of LTE Deployment: A Case Study of Addis Ababa, Ethiopia, M.Sc. thesis, 2014.
• [7] Katsianis D.: Techno-economic modeling and Long Term Evolution model, Evaluation of upgrade scenarios. Wireless LTE (Long term evolution) Business model, COST605 Summer School, Budapest. http://www.cost605.org/ cost605school2011/3-D-Katsianis-Technoeconomics-LTE.pdf.
• [8] Ovando C., Perez J., Moral A.: LTE techno-economic assessment: The case of rural areas in Spain, Telecommunications Policy, vol. 39, pp. 269-283, 2015.
• [9] Smura T.: Techno-economic modelling of wireless network and industry architectures, Aalto University, publication series Doctoral Dissertations 23/2012, 2012.
• [10] Syed A.: Dimensioning of LTE Network Description of Models and Tools, Coverage and Capacity Estimation of 3GPP Long Term Evolution radio interference, Helsinki University of Technology, 2009.
• [11] UKE: Long Term Evolution (LTE). Kolejny krok w ewolucji systemow telefonii komorkowej. https://www.uke.gov.pl/files/?id_plik=7099.
• [12] Wierzbicki A.: The problem of objective ranking: foundations, approaches and applications, Journal of Telecommunications and Information Technology, vol. 3, pp. 15-23, 2008.
• [13] Zareen U.: LTE-Advanced: Techno Economical Perspective, Universal Journal of Communications and Network, vol. 2(6), pp. 93-100, 2014.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).