NDLI: Online resource allocation for energy harvesting downlink MIMO systems with finite-alphabet inputs

Content Provider	IEEE Xplore Digital Library
Author	Weiliang Zeng Zheng, Y.R. Schober, R.
Copyright Year	2015
Description	Author affiliation: Corp. R&D, Qualcomm Inc., Boulder, CO, USA (Weiliang Zeng) \|\| Inst. for Digital Commun. (IDC), Friedrich-Alexander-Univ. of Erlangen-Nuremberg, Erlangen, Germany (Schober, R.) \|\| Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA (Zheng, Y.R.)
Abstract	This paper proposes an online resource allocation algorithm for weighted sum rate maximization in energy harvesting downlink multiuser multiple-input multiple-output (MIMO) systems. Taking into account the discrete nature of the modulation and coding rates (MCRs) used in practice, we formulate a stochastic dynamic programming (SDP) problem to jointly design the MIMO precoders, select the MCRs, assign the subchannels, and optimize the energy consumption over multiple time slots with causal and statistical energy arrival information and statistical channel state information. Solving this high-dimensional SDP entails several difficulties: the SDP has a nonconcave objective function, the optimization variables are of mixed binary and continuous types, and the number of optimization variables is on the order of thousands. We propose a new method to solve this NP-hard SDP by decomposing the high-dimensional SDP into an equivalent three-layer optimization problem and show that efficient algorithms can be used to solve each layer separately. The decomposition reduces the computational burden and breaks the curse of dimensionality.
Starting Page	2142
Ending Page	2147
File Size	279234
Page Count	6
File Format	PDF
e-ISBN	9781467364324
DOI	10.1109/ICC.2015.7248642
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Energy consumption Transmitters Optimization Wireless communication Downlink Joints
Content Type	Text
Resource Type	Article

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