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

Feng KE  Xiaoyu HUANG  Weiliang ZENG  Yuqin LIU  

IEICE TRANSACTIONS on Communications   Vol.E102-B   No.5   pp.1037-1044
Publication Date: 2019/05/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2018EBP3075
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
wireless powered communication networks (WPCNs),  multi-input multi-output (MIMO),  discrete signal inputs,  sum throughput maximization,  

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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.