Title :
Low-Complexity Energy Efficiency Optimization with Statistical CSI in Two-Hop MIMO Systems
Author :
Zappone, Alessio ; Pan Cao ; Jorswieck, Eduard A.
Author_Institution :
Commun. Lab., Tech. Univ. Dresden, Dresden, Germany
Abstract :
Energy-efficient resource allocation in a single-user, amplify-and-forward (AF), relay-assisted, multiple-input-multiple-output (MIMO) system is considered in this paper. Previous results in this area assume that perfect CSI is available for at least one of the source-relay and relay-destination channels. Instead, the case in which statistical CSI is available for both the source-relay and relay-destination channel is tackled in this letter. Using fractional programming theory and the alternating maximization algorithm, low-complexity source and relay precoding is performed, subject to quality-of-service (QoS) and power constraints.
Keywords :
MIMO communication; amplify and forward communication; energy conservation; mathematical programming; precoding; quality of service; relay networks (telecommunication); resource allocation; statistical analysis; wireless channels; QoS; alternating maximization algorithm; energy-efficient resource allocation; fractional programming theory; low-complexity energy efficiency optimization; low-complexity source precoding; perfect CSI; power constraints; quality-of-service; relay precoding; relay-assisted multiple-input-multiple-output system; relay-destination channels; single-user amplify-and-forward multiple-input-multiple-output system; source-relay channels; statistical CSI; two-hop MIMO systems; Covariance matrices; Energy measurement; MIMO; Optimization; Relays; Resource management; Signal processing algorithms; Energy efficiency; fractional programming; multiple-antenna systems; relay-assisted communications; resource allocation; statistical CSI;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2014.2337014
