NDLI: On the Performance of Wireless-Energy-Transfer-Enabled Massive MIMO Systems With Superimposed Pilot-Aided Channel Estimation

Content Provider	IEEE Xplore Digital Library
Author	Jiaming Li Han Zhang Dong Li Hongbin Chen
Copyright Year	2013
Abstract	This paper concerns with a wireless-energy-transfer (WET)-enabled massive multiple-input-multiple-output (MIMO) system with superimposed pilot (SP)-aided channel estimation. Unlike the conventional WET-enabled frame transmission schemes, with the aid of SP, both the uplink (UL) channel estimation and wireless information transmission (WIT) that powered by the downlink (DL) WET can be operated simultaneously, and thus provide the potential for improving the UL achievable throughput. The impact that the SP has on the performance of such a WET-enabled massive MIMO system is mathematically characterized, and the optimal solution, including the SP power-allocation and the ratio of time-allocation between the duration of UL WIT and DL WET, is derived with regard to maximize the UL achievable throughput. Numerical results demonstrate the proposed SP-aided WET technique yields a superior performance than the conventional pilot-only-based schemes.
Starting Page	2014
Ending Page	2027
Page Count	14
File Size	3409318
File Format	PDF
ISSN	21693536
Volume Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy transfer Energy harvesting Wireless communication Channel estimation MIMO Throughput Power distribution throughput maximization massive MIMO wireless information and power transfer channel estimation
Content Type	Text
Resource Type	Article
Subject	Computer Science Engineering Materials Science

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