Precoder Design for Simultaneous Wireless Information and Power Transfer with Finite-Alphabet Inputs

In this paper, we investigate the mutual information maximization for a multiple-input multiple-output (MIMO) system with simultaneous wireless information and power transfer (SWIPT), where perfect channel state information (CSI) is known at the transmitter. We formulate an optimization problem unde...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC S. 1 - 5
Hauptverfasser: Xiaodong Zhu, Weiliang Zeng, Chengshan Xiao
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2017
Schlagworte:
Approximation algorithms
MIMO
Mutual information
Optimization
Receivers
Simulation
Symmetric matrices
ISSN:1558-2612
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this paper, we investigate the mutual information maximization for a multiple-input multiple-output (MIMO) system with simultaneous wireless information and power transfer (SWIPT), where perfect channel state information (CSI) is known at the transmitter. We formulate an optimization problem under the constraints of transmit power and harvested energy. Different from previous work, we assume the input signals to be taken from finite-alphabet inputs instead of Gaussian signals. The formulated problem is NP-hard, so a global optimal solution can not be found with polynomial time complexity. However, by exploiting the structure of the problem, this optimization problem can be transformed into a semidefinite programming (SDP) problem, and then a near optimal algorithm based on semidefinite relaxation (SDR) technique is developed. Simulation results show the efficacy of the proposed algorithm.
ISSN:1558-2612
DOI:10.1109/WCNC.2017.7925807