Let Py=p+oP C= log(2TePy-log(2ceo 2) (1/2)log(Py/o2) (12)log(1+P/N) (bit/symbol) If x is a white gaussian signal with bandwidth f and duration T, then there are 2FT symbols transmitted per second. Therefore, we have C=FT log(1+P/ bit/second the famous capacity formula
Let P = P + s C = log (2peP ) Y - log(2pes ) 1/2 1/2 = (1/2) log (P /s ) 2 Y = (1/2) log (1 + P/N) (bit/symbol) If X is a white Gaussian signal with bandwidth F and duration T, then there are 2FT symbols transmitted per second. Therefore, we have C = FT log (1 + P/N) bit/second, 2 Y 2 the famous capacity formula. (N = s ) 2
From C=FT log(1+P/N) A)F, T, P are basic parameters of a channel Signal volume to be transmitted through a channel must be smaller than the channel capacity provided
F F T T P P Signal Volume to be transmitted through a channel must be smaller than the channel capacity provided. From C = FT log (1 + P/N ) A) F, T, P are basic parameters of a channel
B)For a given C, the parameters are exchangeable. This provides great flexibility for communication systems designing. C)Signal Division Frequency Division -- FDMA Time Division - TDMA Time Frequency Division Frequency Hopping
C) Signal Division Frequency Division -- FDMA Time Division -- TDMA Time Frequency Division -- Frequency Hopping B) For a given C, the parameters are exchangeable. This provides great flexibility for communication systems designing. F T P Channel Capacity