An assisted relay selective strategy with the stochastic dynamic programming

Relay assisted (RA) network and the assisted relay (AR) selection is considered as an efficient technology to improve the communication performance since it is easy to use and do not require extra hardware cost. However, most of the previous research did not consider the imperfect state information of the AR candidate sufficiently since it is hard to be formulated. This shortage limited the application of the existing research in practice. In order to solve this problem, an AR selective (ARS) strategy is proposed and analyzed. Moreover, a threshold determination algorithm based on the stochastic dynamic program (SDP) is also developed to make the ARS strategy more practical. Numerical results show that performance of ARS strategy far superior to the performance without AR.