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Weiqiang Xu
Researcher at Zhejiang Sci-Tech University
Publications - 15
Citations - 1268
Weiqiang Xu is an academic researcher from Zhejiang Sci-Tech University. The author has contributed to research in topics: MIMO & Wireless sensor network. The author has an hindex of 7, co-authored 13 publications receiving 1148 citations.
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Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems
TL;DR: It is proved that SDR is indeed tight for the problem and thus achieves its global optimum and two suboptimal solutions of lower complexity are proposed, where the zero-forcing (ZF) and the SINR-optimal based transmit beamforming schemes are applied, respectively.
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Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems
TL;DR: In this article, a multi-user multiple-input single-output (MISO) downlink system for simultaneous wireless information and power transfer (SWIPT) was studied, in which a set of single-antenna mobile stations (MSs) receive information and energy simultaneously via power splitting (PS) from the signal sent by a multiuser base station (BS).
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Secure Beamforming for MIMO Broadcasting With Wireless Information and Power Transfer
TL;DR: This paper considers a basic MIMO information-energy broadcast system, and proposes global optimal solutions to the secrecy rate maximization (SRM) problem in the single- stream case and a specific full-stream case and proposes inexact block coordinate descent (IBCD) algorithm to tackle the SRM problem of general case with arbitrary number of streams.
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Energy Management and Cross Layer Optimization for Wireless Sensor Network Powered by Heterogeneous Energy Sources
TL;DR: A new system model suitable for WSN is proposed, taking into account multiple energy consumptions due to sensing, transmission and reception, heterogeneous energy supplies from renewable energy, electricity grid and mixed energy, and multi-dimension stochastic natures due to energy harvesting profile, electricity price and channel condition.
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Energy Management and Cross Layer Optimization for Wireless Sensor Network Powered by Heterogeneous Energy Sources
TL;DR: In this paper, a discrete-time stochastic cross-layer optimization problem is formulated to achieve the optimal trade-off between the time-average rate utility and electricity cost subject to the data and energy queuing stability constraints.