Abstract
The recently proposed space-frequency-coded MIMO-OFDM systems have promised considerable performance improvement over single-antenna systems. However, in order to make multiantenna OFDM systems an attractive choice for practical applications, implementation issues such as decoding complexity must be addressed successfully. In this paper, we propose a computationally efficient decoding algorithm for space-frequency block codes. The central part of the algorithm is a modulation-independent sphere decoding framework formulated in the complex domain. We develop three decoding approaches: a modulation-independent approach applicable to any memoryless modulation method, a QAM-specific and a PSK-specific fast decoding algorithm performing nearest-neighbor signal point search. The computational complexity of the algorithms is investigated via both analysis and simulation. The simulation results demonstrate that the proposed algorithm can significantly reduce the decoding complexity. We observe up to 75% reduction in the required FLOP count per code block compared to previously existing methods without noticeable performance degradation.
Highlights
Multiple-input multiple-output (MIMO) systems employing multiple transmit and receive antennas have the potential to play a significant role in the development of future wireless communication systems
For ST block codes transmitted over temporally evolving channels and for SF block-coded MIMO-OFDM systems, where the channel changes along the frequency axis, lowcomplexity decoding algorithms still do not exist in the literature
The frequencyselective MIMO channel was modeled by the COST 207 Typical Urban 6-ray power delay profile [23]
Summary
Multiple-input multiple-output (MIMO) systems employing multiple transmit and receive antennas have the potential to play a significant role in the development of future wireless communication systems. To take advantage of both the MIMO systems and the OFDM modulation, MIMO-OFDM systems have been proposed recently [1,2,3,4,5,6], where space-frequency (SF) coding is applied as the channel code. Before such a system becomes an attractive choice for practical applications, implementation issues such as decoding complexity must be addressed successfully. For ST block codes transmitted over temporally evolving channels and for SF block-coded MIMO-OFDM systems, where the channel changes along the frequency axis, lowcomplexity decoding algorithms still do not exist in the literature
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