Neuro-Fuzzy Based Joint Relay-Selection and Resource-Allocation for Cooperative Networks
This paper focuses on a joint relay-selection and resource-allocation algorithm for an Amplify-and-Forward (AF) cooperative network. In a multiuser scenario, joint relay selection and power allocation is a combinational problem for heterogeneous, i.e., Real Time (RT) and Non-Real Time (NRT), users. In Single relay AF (S-AF) scheme, a source-destination pair selects best relay. Thus only two channels are needed (i.e., one for source-destination direct link and other one for the source-relay-destination indirect link) between a source-destination pair. They propose a Neuro-Fuzzy (NF) based optimal relay selection algorithm for selecting best relay based on link's Signal-to-Noise Ratio (SNR), link's delay and degree of mobility between a source-destination pair.