Online Precoding for Energy Harvesting Transmitter with Finite-Alphabet Inputs and Statistical CSI
This paper considers an online multiantenna precoder design for energy harvesting transmitter based on finite-alphabet inputs and statistical channel state information (CSI). It formulates the problem by maximizing the sum of average mutual information (AMI) of multiple time slots in one channel frame with causal energy constraint. The formulated problem is a 2Nt2- dimensional stochastic dynamic programming (SDP) problem with a nonconcave objective function, where Nt is the number of transmit antennas. The 2Nt2- dimensional SDP problem is prohibitively complex and prevents the development of online algorithm for multiantenna systems. We provide equivalence between the multidimensional SDP problem and a one-dimensional power choice problem. Solving the one-dimensional equivalence decreases the computational burden extraordinarily without loss of optimality. We separate the one-dimensional problem into two cases: 1) the discrete-battery-state-discrete-power-choice (DBDP) problem and 2) the continuous-battery-state-continuous-power-choice (CBCP) problem. We also develop numerical algorithms to solve them, respectively. We further analyze the computational complexity of the developed algorithms and demonstrate the significant performance gains offered by the proposed method when compared with other methods.
W. Zeng et al., "Online Precoding for Energy Harvesting Transmitter with Finite-Alphabet Inputs and Statistical CSI," IEEE Transactions on Vehicular Technology, no. 7, pp. 5287 - 5302, Institute of Electrical and Electronics Engineers (IEEE), Jul 2016.
The definitive version is available at https://doi.org/10.1109/TVT.2015.2453990
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Algorithms; Channel state information; Communication channels (information theory); Dynamic programming; Electric batteries; Energy harvesting; MIMO systems; One dimensional; Online systems; Stochastic systems; Transmitters; Average mutual information; Computational burden; Finite-alphabet inputs; Multi-antenna systems; One dimensional problems; Precoding; Statistical channel state informations; Stochastic dynamic programming; Problem solving; Multiple-input multiple-output (MIMO); Online precoding; Statistical channel state information (CSI)
International Standard Serial Number (ISSN)
Article - Journal
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jul 2016