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There is a phenomenon that hardware technology has developed ahead of software technology in recent years. Companies lack of software techniques that can fully utilize the modern multi-core computing resources, mainly due to the difficulty of investigating the inherent parallelism inside a software. This problem exists in products ranging from energy-sensitive smartphones to performance-eager data...
This paper presents two enhancements for improving the convergence behavior of bit-interleaved coded modulation iterative decoding (BICM-ID) in multiple-input multiple-output (MIMO) systems. As typical tree search based MIMO demapping algorithms for BICM-ID are based on the suboptimal Max-Log-MAP (maximum a-posteriori) criterion, the first enhancement aims at correcting the outputs of such MIMO demappers...
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...
In this paper the author focuses his study on finding the factors that decide the receiver's immunity of digital cellular mobile communication system. He starts his study from analyzing RF receiving sensitivity formula and finds that, by ways of optimizing FT (total noise factor) of the receiver's RF part and minimizing (minimum output signal to noise ratio required by communication system), the receiving...
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...
Using the Schnorr-Euchner (SE) order for soft-input sphere decoders is inefficient for implementation, because it requires exhaustive calculation and sorting of partial metrics of all constellation points. Instead, low-complexity methods can be applied by separating the partial metric into channel information and a priori information and solely enumerating based on one of them. With such an orthogonalization,...
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