Dynamic power optimization of pilot and data for downlink OFDMA systems

In this paper, we investigate the power allocation problem in downlink orthogonal frequency-division multiple access (OFDMA) networks. Different from previous researches on allocation, take into account various practical factors, such as stochastic traffic arrival, time-varying channel, queue stability requirements of all users, channel estimation cost and corresponding effect imperfect state information (CSI) data transmission rate. The is formulated maximizing time-averaged rate by optimizing pilot subject to maximum transmit constraints. defined terms power, error, which non-concave. To solve non-concave optimization problem, a dynamic (DPDPA) algorithm proposed with aids approximate transformation, Lyapunov Lagrange dual formulation. Moreover, derive bounds performances, length.