For adaptive OFDM, different power levels and modulation bit load are allocated to different subchannels.
The maximum bit load in (18) is a lower bound for each subchannel because of the largest ICI power.
Factors affecting cutting temperature were discussed and studied, including bit load, rotation speed of the drill head, and rake angle of the cutter.
The temperature rise is only about 0.72 °C and 0.66 °C for ice samples A and B, respectively, with a bit load of 700 N.
1) Compute the optimum power allocation P i and sub-carrier bandwidth B using Algorithm 5. 2) Compute the corresponding bit load b i using (18).
Compute the optimum power allocation P i and sub-carrier bandwidth B using Algorithm 5. Compute the corresponding bit load b i using (18).
The first such algorithm (Algorithm 8) computes the power allocation using Algorithm 7 and rounds the corresponding bit load to the nearest higher integer.
Compute the corresponding bit load b k, i using (59), and ε k, i = b k, i * ρ k, i. Execute Step 2 onwards of Algorithm 8.
Assuming ε is the target average BER, the maximum bit load, given the average BER constraint is β = log 2 C 2 ρ 0 γ ¯ C 1 / ε − 1 P N γ ¯ + 1 + 1. (14).
The corresponding bit load are real values, which are rounded to the nearest higher integer, and a greedy bit removal is executed till the power and PU interference constraint are met.
According to (17), the maximum bit load size for each subchannel is obtained as β γ [ k ] ≤ log 2 1 + − C 2 / ln ε / C 1 γ [ k ] s γ [ k ] S ¯ s max P N γ ¯ + 1. (18).
