Sum-Throughput Maximization for MIMO Full-Duplex Wireless Powered Communication Network with Finite Alphabet Inputs

In this paper, we maximize the sum-throughput of a multi-user MIMO full-duplex wireless powered communication network (FD-WPCN) by jointly optimizing the precoding matrices and time allocation vector. In particular, we consider a more practical scenario with energy causality and finite alphabet inpu...

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Bibliographic Details
Published in:2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) pp. 1 - 5
Main Authors: Peng, Yingru, Ke, Feng
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2018
Subjects:
Broadcasting
Covariance matrices
Energy harvesting
finite alphabet inputs
full-duplex wireless powered communication network (FD-WPCN)
Iterative methods
Optimization
Precoding
Resource management
Wireless communication
ISSN:2577-2465
Online Access:Get full text
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Summary:In this paper, we maximize the sum-throughput of a multi-user MIMO full-duplex wireless powered communication network (FD-WPCN) by jointly optimizing the precoding matrices and time allocation vector. In particular, we consider a more practical scenario with energy causality and finite alphabet inputs. The original optimization problem is non-convex and intractable. We prove that the time allocation problem is convex with the precoding matrices fixed. We also simplify the optimal precoder design to a convex power allocation problem for a given time allocation vector. By optimizing the precoding matrices and the time allocation vector alternately, we propose a two-step iterative algorithm to find the optimal solution. The simulation results show that our scheme outperforms other benchmark schemes significantly.
ISSN:2577-2465
DOI:10.1109/VTCFall.2018.8690897