Delay constrained throughput optimization in multi-hop AF relay networks, using limited quantized CSI
Journal article, 2019

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 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 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.

Discrete link adaptation

Delay-QoS constraint

Multi-hop relay

Adaptive modulation and coding

Amplify and forward relaying

Author

Mehrdad Taki

Qom University

Tommy Svensson

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Mohammad Bagher Nezafati

Iranian Research Institute for Fundamental Sciences

Eurasip Journal on Wireless Communications and Networking

1687-1472 (ISSN) 1687-1499 (eISSN)

102

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1186/s13638-019-1423-3

More information

Latest update

8/16/2019