, Arcep rankings, 2018.
Empirical generalizations and marketing science: A personal view, Mark. Sci, vol.14, pp.6-19, 1995. ,
Comments on "a new product growth for model consumer durables the bass model, Manage. Sci, vol.50, pp.1833-1840, 2004. ,
3g/4g load-balancing optimization for mobile network planning, 17th International Telecommunications Network Strategy and Planning Symposium (Networks), pp.7-12, 2016. ,
, Cisco visual networking index: Global mobile data traffic forecast update, 2016.
, , 2018.
Boole algebra and its application to operation research, Trabajos de Estadistica, pp.111-118, 1960. ,
Iterative improvement methods for a multiperiod network design problem, Eur. J. Oper. Res, vol.110, pp.150-165, 1998. ,
URL : https://hal.archives-ouvertes.fr/hal-02090307
Multi-period capacity expansion for a local access telecommunications network, Eur. J. Oper. Res, vol.172, pp.1051-1066, 2006. ,
Enhanced formulations and branch-and-cut for the two level network design problem with transition facilities, Eur. J. Oper. Res, vol.225, pp.211-222, 2013. ,
, The mobile economy 2020 (gsm association annual report), GSMA, 2020.
LTE Advanced: 3GPP Solution for IMT-Advanced ,
The multi-layered network design problem, Eur. J. Oper. Res, vol.183, pp.87-99, 2007. ,
A multi-period network design problem for cellular telecommunication systems, Eur. J. Oper. Res, vol.134, pp.439-456, 2001. ,
An application of a multi-generation diffusion model to forecast 5g mobile telecommunication service subscribers in south korea, Int. J. Pure Appl. Math, vol.116, pp.809-817, 2017. ,
Diffusion models of mobile telephony in greece, Telecommunications Pol, vol.32, pp.234-245, 2008. ,
A diffusion theory model of adoption and substitution for successive generations of high-technology products, Manage. Sci, vol.33, pp.1069-1086, 1987. ,
, Mobile network worlwide activity (orange group webpage), Orange, 2018.
, Diffusion of Innovations, Simon and Schuster, 2003.
Evolution of mobile wireless communication networks-1g to 5g as well as future prospective of next generation communication network, Int. J. Comput. Sci. Mobile Comput, vol.2, pp.47-53, 2013. ,
Constraints (94) (respectively (95)) set all ? related to a range at 0 if the coverage is greater (resp. smaller) than the upper (resp. lower) bound of the range. Constraints (96)-(98) are the typical linearizations of the products of a binary variable with a continuous one, A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems, Nonconvex Optimization and Its Applications, vol.99, 1998. ,