Title :
Spatially-Averaging Channel Estimation for Spatial Modulation
Author :
Xiping Wu ; Di Renzo, Marco ; Haas, Harald
Author_Institution :
Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
Abstract :
Spatial modulation (SM) is a unique single-stream, multiple-input multiple-output (MIMO) transmission technique. Unlike multi-steam MIMO schemes, a single transmit antenna is activated in SM at any given time. Therefore, inter-channel interference is completely avoided. In addition, SM requires only one radio-frequency (RF) chain, regardless of the number of transmit antennas used. This key property results in a significant saving in quiescent power of power amplifiers. However, a challenge occurs when channel estimation (CE) is implemented for SM: the transmit antennas have to send pilots sequentially. Thus, in order not to compromise the throughput, the pilot number of each transmit antenna is restricted. This means we focus on improving the CE performance without increasing the number of pilots. In this paper, we propose a novel CE method for SM, in which the channel is jointly estimated across receive antennas. Simulation results show that the proposed approach outperforms the conventional method for various channel correlations between the receive antennas.
Keywords :
MIMO communication; channel estimation; power amplifiers; receiving antennas; transmitting antennas; MIMO transmission technique; interchannel interference; power amplifiers; receive antennas; single transmit antenna; spatial modulation; spatially averaging channel estimation; Bit error rate; Channel estimation; Correlation; MIMO; Receiving antennas; Signal to noise ratio; Transmitting antennas;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
Conference_Location :
Vancouver, BC
DOI :
10.1109/VTCFall.2014.6966183