Capability adaptation algorithm based on joint network and terminal selection in heterogeneous networks

Abstract Modern service industry has been the new point of economic growth, which is on the basis of information and communication technologies. Heterogeneous networks convergence is the trend for the development of information and communication technologies. This paper proposes a capacity adaptation algorithm to implement the network and terminal collaborative selection functions. The AHP and GRA algorithms are introduced for heterogeneous network selection, in which the AHP algorithm is aimed to calculate the weight parameters and the GRA algorithm is to select the best target network. The AHP and SAW algorithms are adopted to complete the terminal selection on basis of terminal attributes. Simulations and analysis show that capability adaptation can achieve network and terminal selection in heterogeneous networks for many services and applications.