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Fig. 4 | EURASIP Journal on Wireless Communications and Networking

Fig. 4

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

Fig. 4

Decision algorithm for \(n_{\mathrm {optimal}}\) and \(m_{\mathrm {optimal}}\). For each picture on the left and right, \(n_{\mathrm {M}}-1\), \(n_{\mathrm {M}}\), \(n_{\mathrm {M}}+1\), \(m_{\mathrm {M}}\mathrm {-}\mathrm {1}\), \(m_{\mathrm {M}}\) and \(m_{\mathrm {M}}+1\) means the Y and X-axis of the environment, respectively. Each rectangle with the value means the common throughput value at the point of these Y and X-axis

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