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MS, required memory size; BW loss, bandwidth loss.
By introducing these, required memory size becomes smaller and the convergence becomes faster.
Note that in both schemes, the required memory size is insensitive to the ARQ delay.
In order to reduce the required memory size for language model, infrequent n-grams were removed from the model.
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In comparison, required memory sizes for the PFs of references [2, 7] are 3M and 4M, respectively.
Hence, a new sequential resampling technique is needed, one with an amount which requires memory size depending on the memory requirement of computing devices.
However, when less multiplexed codes are used, i.e., C = 4, the performance gap between the proposed schemes is reduced to 1 dB as the complexity gap becomes huge (chip-level combining requires a memory size 12 times greater than the one required by symbol-level combining).
● To process each folder, depending on the size, requires memory capacity in the range 1 G B to 16 G B. ● All data to be processed must be loaded in the main memory.
This requires a memory size that linearly scales with the ARQ delay.
In fact, the memory resources will be the limiting factor in our design with increasing the network dimension especially if the program code requires important memory size.
The main advantage of the proposed architecture is its ability to handle simultaneous tasks that require large memory size and floating point computations.
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