A pipelined parallel OSIC algorithm based on the square root Kalman Filter for heterogeneous networks

This paper describes a pipelined parallel algorithm for the Ordered Successive Interference Cancellation (OSIC) decoding procedure proposed in V-BLAST wireless MIMO systems. It is based on an algorithm that solves the recursive least squares (RLS) problem, and is derived from a block version of the square root version of the Kalman Filter. It has been parallelized in a pipelined way getting a good efficiency and scalability in a heterogeneous network of computers. Although the optimum load balancing for this algorithm is dynamic, we derive a static load balancing scheme with good results.