作者: Seong Hwan Kim , Tumula V. K. Chaitanya , Tho Le-Ngoc , Junsu Kim
关键词: Geometric programming 、 Power (physics) 、 Maximization 、 Mathematics 、 Relay 、 Mathematical optimization 、 Relay channel 、 Optimization problem 、 Selection (genetic algorithm) 、 Signal-to-noise ratio
摘要: We consider the power allocation and relay selection for rate maximization in a two-path amplify-and-forward (AF) network with inter-relay interference (IRI) consideration. first investigate only pair of relays under both individual global constraints. To find optimum solution to this nonconvex problem, we develop three-step approach using rate-profiling technique together reformulation sum-rate problem as set power-minimization geometric programming problems (GPPs). For reduced complexity, further convert optimization into GPPs single-step by high signal-to-interference-plus-noise ratio approximation. Next, propose an algorithm which achievable each proposed is compared. This criterion outperforms conventional scheme terms rate. two low-complexity criteria low moderate IRI. IRI, source-relay relay-destination channel product square can be used achieve performance close that based on allocation.