Single frequency broadcast system performance in a power-controlled CDMA cellular network

Energy optimization in wireless broadcasting through power control

“…9 where the range of powers [1,10] is divided into 500 subintervals. Also, the optimal power for every state increases with the goal, as expected.…”

“…11 and 12, when the range [1,10] is divided into 500 subintervals. As we can see from these figures, the energy consumption increases almost linearly with the goal, except when the goal becomes close to the total number of nodes, at which point we see a rapid increase in the energy cost.…”

“…The work on power control in the literature can be primarily classified into work dealing with interference mitigation (e.g. [1][2][3]) and work dealing with network topology control and routing (e.g. [4][5][6]).…”

Optimal Power Control for Minimum-energy Downlink Broadcast Transmission in Wireless Data Networks

“…The optimal transmit power obtained through value iteration increases with the state in a concave fashion, as seen from figure 8 where the range or powers [1,10] is divided into 500 subintervals. Also, the optimal power for every state increases with the goal, as expected.…”

“…Another important observation is that using only two powers can be quite wasteful, as seen in this case where the optimal transmission power does not go above 5 in the continuous case, while in the two-power case the power goes as high as 10. The optimal energy consumption and the associated service time are shown in figures 10 and 11, when the range [1,10] is divided into 500 subintervals. As we can see from these figures, the energy consumption increases almost linearly with the goal, except when the goal becomes close to the total number of nodes, at which point we see a rapid increase in the energy cost.…”