Data rate maximization based power allocation for OFDM System in a high-speed train environment

The channels in a high-speed train (HST) environment are very quickly time-varying within an OFDM symbol so it is preferable to have their estimation and symbol detection to be simultaneously implemented. Time-varying characteristics of the channels also causes unavoidable inter-carrier interferences, which make both channel estimation and symbol detection doubly difficult. Considered in this paper is a power allocation between pilot symbols and data to maximize the sum symbol rate. The average channel complex gains are estimated and are used to obtain the basis expansion model (BEM) of the HST, upon which the data detection is based. The simulation results confirm the viability of our proposed algorithm.