Title :
Space-Time Multiplexing Codes: A Tensor Modeling Approach
Author :
de Almeida, Andre L F ; Favier, Gerard ; Mota, Joao C M
Author_Institution :
Lab. I3S, CNRS, Sophia Antipolis
Abstract :
In this paper, we present new space-time multiplexing codes (STMC) for multiple-antenna transmissions, which rely on a three-dimensional tensor modeling of the transmitted/received signals. The proposed codes combine spatial multiplexing and space-time coding by spreading a linear combination of different sub-streams of data over the space and time dimensions. We show the STMC induces a tensor structure on the transmitted/received signal that can be modeled using a trilinear tensor decomposition. Tensor modeling is exploited at the receiver for a blind decoding of the transmitted sub-streams based on linear processing and without any ambiguity. The proposed approach also provides full diversity while benefiting from the maximum multiplexing gain offered by the multiple antennas. Simulation results show that the tensor-based STMC offer remarkable performance with good diversity-multiplexing trade-off
Keywords :
antenna arrays; decoding; diversity reception; multiplexing; space-time codes; tensors; blind decoding; linear processing; maximum multiplexing gain; multiple-antenna transmissions; space-time multiplexing codes; spatial multiplexing; three-dimensional tensor modeling; trilinear tensor decomposition; Channel state information; Decoding; MIMO; Mutual information; Receiving antennas; Signal design; Signal processing; Space time codes; Tensile stress; Transmitting antennas;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2006. SPAWC '06. IEEE 7th Workshop on
Conference_Location :
Cannes
Print_ISBN :
0-7803-9710-X
Electronic_ISBN :
0-7803-9711-8
DOI :
10.1109/SPAWC.2006.346486