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

EURASIP Journal on Wireless Communications and Networking

Table 1 CT.RATE and CT.AVERAGE values of our methodology and the methodology in the original paper

Size / WDs	CT.RATE (%)		CT.AVERAGE
Size / WDs	6 WDs	10 WDs	6 WDs	10 WDs
Our methodology
\(8\times 8\)	94.2787	100.4858	0.010222	0.006884
\(12\times 12\)	86.9357	92.1310	0.002565	0.001648
\(16\times 16\)	79.4420	90.4991	0.000790	0.000530
Methodology in the original paper
\(8\times 8\)	65.5779	71.9627	0.007110	0.004930
\(12\times 12\)	89.1676	90.3931	0.002631	0.001617
\(16\times 16\)	100.6565	96.8606	0.001001	0.00568

The upper table is about our methodology, and lower table represents CT.RATE and CT.AVERAGE about the methodology in the original paper. Size means the size of the board representing the environment of WPCN