Sum Throughput Maximization for MIMO Wireless Powered Communication Networks with Discrete Signal Inputs

Feng KE; Xiaoyu HUANG; Weiliang ZENG; Yuqin LIU

doi:10.1587/transcom.2018EBP3075

Sum Throughput Maximization for MIMO Wireless Powered Communication Networks with Discrete Signal Inputs

Feng KE, Xiaoyu HUANG, Weiliang ZENG, Yuqin LIU

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Summary :

Wireless powered communication networks (WPCNs) utilize the wireless energy transfer (WET) technique to facilitate the wireless information transmission (WIT) of nodes. We propose a two-step iterative algorithm to maximize the sum throughput of the users in a MIMO WPCN with discrete signal inputs. Firstly, the optimal solution of a convex power allocation problem can be found given a fixed time allocation; Secondly, a semi closed form solution for the optimal time allocation is obtained when fixing the power allocation matrix. By optimizing the power allocation and time allocation alternately, the two-step algorithm converges to a local optimal point. Simulation results show that the proposed algorithm outperforms the conventional schemes, which consider only Gaussian inputs.

Publication: IEICE TRANSACTIONS on Communications Vol.E102-B No.5 pp.1037-1044

Publication Date: 2019/05/01

Publicized: 2018/10/26

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2018EBP3075

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

Authors

Feng KE
  South China University of Technology
Xiaoyu HUANG
  South China University of Technology
Weiliang ZENG
  Qualcomm Research
Yuqin LIU
  South China University of Technology

Keyword

wireless powered communication networks (WPCNs), multi-input multi-output (MIMO), discrete signal inputs, sum throughput maximization

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Feng KE, Xiaoyu HUANG, Weiliang ZENG, Yuqin LIU, "Sum Throughput Maximization for MIMO Wireless Powered Communication Networks with Discrete Signal Inputs" in IEICE TRANSACTIONS on Communications, vol. E102-B, no. 5, pp. 1037-1044, May 2019, doi: 10.1587/transcom.2018EBP3075.
Abstract: Wireless powered communication networks (WPCNs) utilize the wireless energy transfer (WET) technique to facilitate the wireless information transmission (WIT) of nodes. We propose a two-step iterative algorithm to maximize the sum throughput of the users in a MIMO WPCN with discrete signal inputs. Firstly, the optimal solution of a convex power allocation problem can be found given a fixed time allocation; Secondly, a semi closed form solution for the optimal time allocation is obtained when fixing the power allocation matrix. By optimizing the power allocation and time allocation alternately, the two-step algorithm converges to a local optimal point. Simulation results show that the proposed algorithm outperforms the conventional schemes, which consider only Gaussian inputs.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3075/_p

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@ARTICLE{e102-b_5_1037,
author={Feng KE, Xiaoyu HUANG, Weiliang ZENG, Yuqin LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Sum Throughput Maximization for MIMO Wireless Powered Communication Networks with Discrete Signal Inputs},
year={2019},
volume={E102-B},
number={5},
pages={1037-1044},
abstract={Wireless powered communication networks (WPCNs) utilize the wireless energy transfer (WET) technique to facilitate the wireless information transmission (WIT) of nodes. We propose a two-step iterative algorithm to maximize the sum throughput of the users in a MIMO WPCN with discrete signal inputs. Firstly, the optimal solution of a convex power allocation problem can be found given a fixed time allocation; Secondly, a semi closed form solution for the optimal time allocation is obtained when fixing the power allocation matrix. By optimizing the power allocation and time allocation alternately, the two-step algorithm converges to a local optimal point. Simulation results show that the proposed algorithm outperforms the conventional schemes, which consider only Gaussian inputs.},
keywords={},
doi={10.1587/transcom.2018EBP3075},
ISSN={1745-1345},
month={May},}

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TY - JOUR
TI - Sum Throughput Maximization for MIMO Wireless Powered Communication Networks with Discrete Signal Inputs
T2 - IEICE TRANSACTIONS on Communications
SP - 1037
EP - 1044
AU - Feng KE
AU - Xiaoyu HUANG
AU - Weiliang ZENG
AU - Yuqin LIU
PY - 2019
DO - 10.1587/transcom.2018EBP3075
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2019
AB - Wireless powered communication networks (WPCNs) utilize the wireless energy transfer (WET) technique to facilitate the wireless information transmission (WIT) of nodes. We propose a two-step iterative algorithm to maximize the sum throughput of the users in a MIMO WPCN with discrete signal inputs. Firstly, the optimal solution of a convex power allocation problem can be found given a fixed time allocation; Secondly, a semi closed form solution for the optimal time allocation is obtained when fixing the power allocation matrix. By optimizing the power allocation and time allocation alternately, the two-step algorithm converges to a local optimal point. Simulation results show that the proposed algorithm outperforms the conventional schemes, which consider only Gaussian inputs.
ER -