Delay constrained throughput optimization in multi-hop AF relay networks, using limited quantized CSI

Delay constrained throughput optimization in multi-hop AF relay networks, using limited quantized CSI

Blog Article

Abstract In this paper, we analyze the throughput of multi-hop amplify and forward (AF) relay networks in delay-constrained scenario.Using quantized channel state information (CSI), the transmission rates and powers are discretely adapted with individual average power constraint on each node.A sub-gradient projection-based itsmajorlook.com algorithm is utilized, by which there is no need for probability density functions (PDFs) to solve the optimization problem.

Our numerical evaluations show that the sub-gradient projection-based algorithm results in redken shades eq 07m driftwood a comparable performance with an analytical approach using PDFs.As shown, a considerably better performance obtained by the designed scheme compared to previous schemes with constant power transmission.More than 70% throughput improvement is achieved by our scheme compared to constant power transmission with just two more feedback bits and a short training time required at the beginning of the transmission.