DocumentCode :
1789968
Title :
Optimal power allocation for channel estimation in spatial modulation
Author :
Xiping Wu ; Di Renzo, Marco ; Haas, Harald
Author_Institution :
Joint Res. Inst. for Signal & Image Process, Univ. of Edinburgh, Edinburgh, UK
fYear :
2014
fDate :
10-14 June 2014
Firstpage :
5481
Lastpage :
5485
Abstract :
This work investigates the impact of power allocation for channel estimation (CE) in spatial modulation (SM). SM is a unique single-stream multiple-input multiple-output (MIMO) transmission technique that achieves spatial multiplexing gains. While SM completely avoids inter-channel interference, a single active antenna leads to a challenge for CE, i.e., all transmit antennas have to be activated sequentially to send the pilot signal. More time as well as energy is therefore consumed for CE. Driven by this motivation, we propose a closed-form optimal power allocation (OPA) for SM in this paper. Regardless of the SM transceiver structure, the optimal solution only depends on the pilot sequence length and the ratio between the number of pilots and the number of total symbols. Simulations results show that the bit error ratio performance of OPA-based SM tightly approaches the case of perfect channel state information with a gap of less than 0.8 dB.
Keywords :
MIMO communication; adjacent channel interference; channel estimation; error statistics; modulation; space division multiplexing; MIMO transmission technique; bit error ratio performance; channel estimation; interchannel interference; multiple-input multiple-output; optimal power allocation; perfect channel state information; pilot sequence length; single active antenna; spatial modulation; spatial multiplexing gains; Bit error rate; Channel estimation; MIMO; Resource management; Signal to noise ratio; Transmitting antennas; MIMO; Spatial modulation (SM); channel estimation; optimal power allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICC.2014.6884193
Filename :
6884193
Link To Document :
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