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We demonstrate the performance of the scheme with several numerical examples.
Therefore, although the ergodic sum rate is derived by using the long-term power constraints in this article, it also provides some insights for the performance of the scheme with the instant power constraint.
We demonstrate the performance of the scheme with several numerical experiments with varying magnetic field complexity in two dimensions, including the case of heat transport across a magnetic island in cylindrical geometry in the presence of a large guide field.
Considering that the simulation is very slow with large values of N c and n t, we use the statistics of RVQ [19] to reflect the quantization performance of the scheme with independent codeword selection, where the PA is either unknown or perfectly known to the CU in the reconstruction.
Figure 9 shows the throughput performance of the schemes compared with respect to γ SD avg.
For the same reason that the best-case-EST predominates the sum-EST for this scheme, we compare the performance of this scheme with the above two schemes in terms of best-case-EST for simplicity.
The performance of this scheme with respect to the baseline scheme and to the perfect database-aided scheme is shown on Fig. 16.
Simulation results are provided to compare the performance of the proposed schemes with other resource allocation schemes.
In this paper, we compared the performance of the proposed scheme with existing schemes: the SCC scheme [10], ISC scheme [12], and RSC scheme [13].
We present numerical simulations where we compare the performance of the resulting schemes with that of the Roe scheme, and by that shed light on the issues of accuracy, efficiency, and robustness of the proposed schemes.
They demonstrate the performance of the scheme, combined with the two error indicators.
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