Additionally, the end-to-end channel capacity of optimizing allocation time is lower than that of optimizing distance, but higher than that of optimizing transmit power (in the case of 9 relay nodes in Figure 9).
The comparison in channel capacity of optimizing the distance and optimizing the transmit power is shown in Figure 5.
D&M strategies generate a final output whose quality is a measure of their capacity of optimizing QoS requirements taking into account human aspects.
Figure 5 Comparing channel capacity of optimizing the transmit power and optimizing the distance where the number of the relay nodes are 3, 6, 9. Figure 6 Channel capacity after shifting distance within 100 m and adjusting transmit power.
Figure 9 Channel capacity of optimizing the transmit power, the distance and the allocation time when the number of relay nodes are 3 and 9. C ≈ 1 1 C k = C k. (32).
The system model is the same as mentioned above, and the system parameters are summarized in Table 1. Figure 4 shows the end-to-end channel capacity responded to each number of the relay nodes, i.e., 3, 6, 9. Figure 4 Channel capacity of optimizing the distance where the number of relay nodes are 3, 6, 9.
Table 1 Numerical parameters Antenna elements at Tx, Rx, RS 4 Transmit power of Tx (mW) 100 Total transmit power of RS (mW) 100 Noise power (mW) 6.12e-011 Refactoron factor 0.38 Distance between Tx-Rx (m) 3000 Average LOS W (m) 500 Figure 3 Channel capacity of optimizing the transmit power where the number of the relay nodes are 3, 6, 9.
In order to prevent some relay nodes from being the bottleneck of system and to guarantee the end-to-end channel capacity, the method of optimizing transmit power, distance and allocation time is proposed in this article.
The problem is posed in terms of optimizing capacity, and it is solved in two ways: firstly, a surrogate function approach is used to approximate it as a pursuit-evasion game; secondly, the game is solved without that approximation.
On [18], our main contribution was posing the problem in terms of optimizing capacity, and under some hypotheses, approximating it as a pursuit-evasion game using Isaacs' tools, which allowed obtaining a new approach in which communications-related problems can be solved using well-known pursuit-evasion game tools.
