Multiple heterogeneous wireless techniques, possibly administered by different entities, are coexisted in the rapidly-expanding communications market. In order to understand the complex interactions among different ne...Multiple heterogeneous wireless techniques, possibly administered by different entities, are coexisted in the rapidly-expanding communications market. In order to understand the complex interactions among different network service providers（NSPs）, it is important to study the factors taken into consideration by users during their selections of the NSPs. The article focuses on interactions between macro-level dynamics of user subscription and the factors causing such dynamics. The key factor was discussed on the interactions between different subpopulations rather than the general factors such as quality of service（Qo S）. Guided by synergetic theory, a general mathematical description model was built. The influence of key factors on users＇ selections was considered and analyzed. Some examples were presented to validate capabilities of the proposed model.展开更多
基金supported by the Natural Science Foundation of China (61372125)the National Basic Research Program of China (2013CB329104)the open research fund of National Mobile Communications Research Laboratory, Southeast University (2013D01)
文摘Multiple heterogeneous wireless techniques, possibly administered by different entities, are coexisted in the rapidly-expanding communications market. In order to understand the complex interactions among different network service providers（NSPs）, it is important to study the factors taken into consideration by users during their selections of the NSPs. The article focuses on interactions between macro-level dynamics of user subscription and the factors causing such dynamics. The key factor was discussed on the interactions between different subpopulations rather than the general factors such as quality of service（Qo S）. Guided by synergetic theory, a general mathematical description model was built. The influence of key factors on users＇ selections was considered and analyzed. Some examples were presented to validate capabilities of the proposed model.
