Title :
An Optimized-Hierarchy-Aided Approximate Log-MAP Detector for MIMO Systems
Author :
Akhtman, Jos ; Wolfgang, Andreas ; Chen, Sheng ; Hanzo, Lajos
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ.
fDate :
5/1/2007 12:00:00 AM
Abstract :
In this paper we propose a novel space division multiplexing (SDM) detection method. The proposed technique constitutes a list search method and may be regarded as an advanced extension of the sphere decoder (SD). Our method may be employed in the so-called over-loaded scenario, where the number of transmit antenna elements exceeds that of the receive antenna elements. Furthermore, it is suitable for high-throughput, non-constant modulus modulation schemes, such as 16 and 64-QAM. We introduce a series of optimization rules which facilitate a substantial reduction in computational complexity. More specifically, we demonstrate that the method proposed, which we refer to as the soft-output optimized hierarchy (SOPHIE)-aided SDM detector exhibits the near-optimum performance of log-MAP SDM detector in all considered scenarios. The associated computational complexity, which we control using two complexity-control parameters, is substantially lower than that imposed by all previously proposed methods
Keywords :
MIMO communication; antenna arrays; computational complexity; decoding; maximum likelihood detection; quadrature amplitude modulation; space division multiplexing; MIMO systems; QAM; SDM detection method; log-MAP detector; nonconstant modulus modulation schemes; over-loaded scenario; receive antenna elements; soft-output optimized hierarchy; space division multiplexing detection method; sphere decoder; transmit antenna elements; Computational complexity; Detectors; Employment; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Optimization methods; Receiving antennas; Transmitting antennas; Wireless communication;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2007.360391