@article {4468, title = {Techno - economic comparison of Cognitive Radio and Software Defined Network (SDN) cost models in 5G networks}, journal = {Wireless Personal Communications, Springer Verlang}, volume = {114}, year = {2020}, pages = {1403{\textendash}1430}, abstract = {5G is anticipated in 2020. In this generation of mobile networks, a great deal of requirements have been set. Although, there are many strong technologies in the telecommunications{\textquoteright} sector they do not respond to the 5G goals. On the other hand, telecommunication operators and providers do not want to invest in new equipment/architectures. Cognitive Radio (CR) and Software Defined Networking (SDN) are two technologies with special and vigorous advantages. In this paper, several technical and economic models are developed. The CR is combined with the Stackelberg game. A Sensitivity Analysis (SA) is implemented and the parameters that impact mostly on the model are pinpointed. It is shown that the CR technology could offer all its fundamental cognitive advantages and even financial profits to the telecommunication companies.}, author = {Christos Bouras and Anastasia Kollia and Eleftheria Maligianni} } @conference {4370, title = {The techno-economic models for CR and SDN in 5G}, booktitle = {12th IFIP Wireless and Mobile Networking Conference (WMNC 2019) Paris, France}, year = {2019}, month = {September 11-13 }, abstract = {5G is closer than ever, considering that in 2020 it will have been released. Existing technologies do not adequately cover the 5G demands, therefore new or modified versions of the existing technologies should be introduced. Telecommunication operators remain skeptical about the costs induced by 5G technologies. In this context, it is fundamental that 5G enabling technologies are analyzed in a techno-economic way. In this paper, authors present models of Cognitive Radio (CR) and Software Defined Networking (SDN). They develop economic models based on the Stackelberg competition, opt for the experimentation parameters and conduct Sensitivity Analysis (SA) experiments that show which are the most influential factors for each technology proposing ways to limit them.}, author = {Christos Bouras and Anastasia Kollia and Eleftheria Maligianni} }