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Table 3 Average values for each variable

From: Deep learning-based optimal placement of a mobile HAP for common throughput maximization in wireless powered communication networks

Rows WDs Y X HAPtime Y/rows X/rows
8 6 3.5351 3.4875 0.9330 0.4419 0.4359
8 10 3.4885 3.4285 0.9201 0.4361 0.4286
12 6 5.5705 5.3169 0.9566 0.4642 0.4431
12 10 5.5630 5.5734 0.9503 0.4636 0.4645
16 6 7.4428 7.4439 0.9685 0.4652 0.4652
16 10 7.4846 7.5141 0.9627 0.4678 0.4696
  1. This table describes the average value of some variables from the experimental result using 100 test dataset samples. For each sample \({\mathrm {WDPM}}_i(N,\ M,\ K)\) and \({\mathrm {TM}}_i(N,\ M,\ K)\), \(i=900,\dots ,999\) in the test dataset, rows, WDs, Y, X, HAPtime, Y/rows and X/rows means the number of rows and wireless devices in \({\mathrm {WDPM}}_i(N,\ M,\ K)\), the value of \(n_{\mathrm {optimal}}\) and \(m_{\mathrm {optimal}}\), the portion of time allocated to HAP computed with GETTHRPUT function in Algorithm 1 with HAPpoint as [\(n_{\mathrm {optimal}}\), \(m_{\mathrm {optimal}}\)], the value of \(n_{\mathrm {optimal}}\)/rows and \(m_{\mathrm {optimal}}\)/rows, respectively