Iterative detection-and-decoding for multi-input multi-output (MIMO) communication systems require a soft-input soft-output (SISO) detection algorithm, which, in the optimal formulation, is well known to be exponentially complex in the number of transmitting antennas. This paper presents a novel SISO detector for MIMO systems, named SISO king decoder. It is a tree-search branch-and-bound algorithm, which exploits the properties of the channel matrix and the a-priori information on the transmitted bits to reduce the overall computational complexity. The proposed algorithm is compared with the SISO single tree-search sphere decoder [1]. Simulation results are provided to show the complexity reduction without relevant performance loss in terms of bit-error rate.
A Dominance-Based Soft-Input Soft-Output MIMO Detector with Near-Optimal Performance
ROMANO, Gianmarco;SALVO ROSSI, Pierluigi
2014
Abstract
Iterative detection-and-decoding for multi-input multi-output (MIMO) communication systems require a soft-input soft-output (SISO) detection algorithm, which, in the optimal formulation, is well known to be exponentially complex in the number of transmitting antennas. This paper presents a novel SISO detector for MIMO systems, named SISO king decoder. It is a tree-search branch-and-bound algorithm, which exploits the properties of the channel matrix and the a-priori information on the transmitted bits to reduce the overall computational complexity. The proposed algorithm is compared with the SISO single tree-search sphere decoder [1]. Simulation results are provided to show the complexity reduction without relevant performance loss in terms of bit-error rate.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
