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In this paper, the iterative scheduling issue for multiple-input multiple-output (MIMO) systems with turbo codes is addressed based on the informed asynchronous scheduling, initially used for scheduling low-density parity-check (LDPC) decoding. For the iterative MIMO demapping and turbo decoding, the convergence behavior by using the informed asynchronous scheduling is first demonstrated to be similar...
Iterative channel estimation and decoding result in significant performance gains but at high computational cost. In this paper, an iterative channel estimation control is proposed to reduce the complexity by only refining the channel estimates which significantly affect the decoding performance. Simulation results demonstrate that significant complexity savings can be achieved with negligible error...
In this paper two complexity efficient soft sphere-decoder modifications are proposed for computing the max-log LLR values in iterative MIMO systems, which avoid the costly, typically needed, full enumeration and sorting (FES) procedure during the tree traversal without compromising the max-log performance. It is shown that despite the resulting increase in the number of expanded nodes, they can be...
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