Title :
Optimum Power Control at Finite Blocklength
Author :
Wei Yang ; Caire, Giuseppe ; Durisi, Giuseppe ; Polyanskiy, Yury
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden
Abstract :
This paper investigates the maximal channel coding rate achievable at a given blocklength n and error probability ϵ, when the codewords are subjected to a long-term (i.e., averaged-over-all-codeword) power constraint. The second-order term in the large-n expansion of the maximal channel coding rate is characterized both for additive white Gaussian noise (AWGN) channels and for quasi-static fading channels with perfect channel state information available at both the transmitter and the receiver. It is shown that in both the cases, the second-order term is proportional to (n-1 ln n)1/2. For the quasi-static fading case, this second-order term is achieved by truncated channel inversion, namely, by concatenating a dispersion-optimal code for an AWGN channel subject to a short-term power constraint, with a power controller that inverts the channel whenever the fading gain is above a certain threshold. Easy-to-evaluate approximations of the maximal channel coding rate are developed for both the AWGN and the quasi-static fading case.
Keywords :
AWGN channels; channel coding; error statistics; fading channels; power control; radio receivers; radio transmitters; telecommunication control; AWGN channels; additive white Gaussian noise channels; dispersion-optimal code; easy-to-evaluate approximations; error probability; finite blocklength; given blocklength; long-term power constraint; maximal channel coding rate; optimum power control; perfect channel state information; quasistatic fading channels; radio receiver; radio transmitter; short-term power constraint; truncated channel inversion; AWGN channels; Channel coding; Error probability; Fading; Probability distribution; Random variables; Receivers; Finite blocklength regime; outage probability; power control; quasi-static fading channel; truncated channel inversion;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2015.2456175