Title :
Modeling and performance evaluation for mobile Ricean MIMO channels
Author :
Ispas, Adrian ; Hölscher, Jonas ; Gong, Xitao ; Schneider, Christian ; Ascheid, Gerd ; Thomä, Reiner
Author_Institution :
Dept. of Integrated Signal Process. Syst., RWTH Aachen Univ., Aachen, Germany
Abstract :
We propose a general channel model for mobile Ricean multiple-input multiple-output (MIMO) channels, which is characterized by parameters that are readily obtainable from measurements. To this end, a moment-based channel decomposition is derived. For the case of statistical channel state information (CSI) at the transmitter (TX) and instantaneous CSI at the receiver, we derive an approximation of the achievable rate, i.e., the mutual information (MI), which is only a function of the channel parameters of the proposed channel model and thus gives insight into the parameters that influence the MI. Finally, we evaluate the MI for a 4 × 4 MIMO system based on channel measurements at 2.53 GHz for two low-complexity TX strategies, i.e., a beamforming (BF) and a spatial multiplexing (SM) strategy. We find that the proposed channel model and the approximate evaluation of the MI are both accurate for realistic signal-to-noise ratio (SNR) values. The approximate evaluation is able to reproduce crossing points between the MI of the considered TX strategies; it thus reflects the SNR at which one should switch from the BF to the SM strategy.
Keywords :
MIMO communication; approximation theory; array signal processing; mobile radio; performance evaluation; radio transmitters; space division multiplexing; wireless channels; BF strategy; MI; SM strategy; SNR values; beamforming; channel measurement; channel model; channel parameters; frequency 2.53 GHz; instantaneous CSI; low-complexity TX; mobile Ricean MIMO channels; mobile Ricean multiple-input multiple-output channels; moment-based channel decomposition; mutual information; performance evaluation; signal-to-noise ratio values; spatial multiplexing strategy; statistical channel state information; transmitter; Antenna measurements; Channel models; Correlation; MIMO; Mobile communication; Signal to noise ratio; Wireless communication;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6363749