Tradeoff analysis of delay-power-CSIT quality of generalized dynamic backpressure algorithm for energy efficient OFDM systems

In this paper, we analyze the fundamental power-delay tradeoff in point-to-point OFDM systems under imperfect channel state information quality and non-ideal circuit power. We consider a family of generalized dynamic backpressure (GDBP) algorithms parameterized by α which determines the relative importance of the system delay. The transmitter determines the rate and power control actions based on the instantaneous channel state information (CSIT) and the queue state information (QSI). We exploit a general fluid queue dynamics using a continuous time dynamic equation. Using the sample-path approach and renewal theory, we decompose the average delay in terms of multiple unfinished works along a sample path, and derive an upper bound on the average delay under the GDBP power control, which is asymptotically accurate at small delay regime. We show that despite imperfect CSIT quality and non-ideal circuit power, the average power (P) of the GDBP policy scales with delay (D) as P = O(Dexp(1/D)) at small delay regime. The impact of CSIT quality and circuit power appears as the coefficients of the scaling law.