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Group shuffled message passing scheduling was used in the iterative decoding.
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The latter is a technique for speeding up the standard belief propagation combining three techniques: the linear time message updates, the bipartite graph message passing schedule by computing messages "in place", and the multigrid method for performing BP in a coarse-to-fine manner.
Both distributed algorithms are evaluated considering the different types of message-passing scheduling.
On the other hand, the greedy technique converges with 100% probability with any of the message-passing scheduling types.
As for convergence rate, the graph-based technique observes different rates, which depends on the message-passing scheduling mode.
In terms of convergence rate, the proposed method has a different rate for each message-passing scheduling mode.
In terms of convergence rate, the graph-based technique has a different rate for each message-passing scheduling mode adopted.
With regard to convergence rate, the graph-based technique observes different rates, which depends on the message-passing scheduling mode.
For instance, from the 50th CDF percentile, such a gain is around 24.7% for all the message-passing scheduling modes.
For instance, from the 50th CDF percentile, such a gain is about 2.4% for all the message-passing scheduling modes.
The greedy technique is not affected by the different types of message-passing scheduling in terms of sum rate.
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