Optimizing the transmit power for slow fading channels

Paschalis Ligdas, Nariman Farvardin

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

We consider the design of power-adaptive systems for minimizing the average bit-error rate over flat fading channels. Channel state information, obtained through estimation at the receiver, is sent to the transmitter over a feedback channel, where it is used to optimally adapt the transmit power. We consider finite-state optimal policies to reflect the limitations of the feedback channel. We develop an iterative algorithm that determines the optimal finite-state power control policy given the probability density function (pdf) of the fading. Next, we present a discretized formulation of the problem and obtain a suboptimal solution via standard dynamic programming techniques. The discretization of the problem enables us to obtain a suboptimal policy for arbitrary fading channels for which the analytic expression of the fading probability density function is not available. Simulation results are used to draw conclusions regarding the effects of limited feedback channel capacity, delay and number of states on the bit-error-rate performance of the proposed policies under slow and moderate fading conditions.

Original languageEnglish
Pages (from-to)565-576
Number of pages12
JournalIEEE Transactions on Information Theory
Volume46
Issue number2
DOIs
StatePublished - 2000

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