Abstract
We considered a precoder used in wireless information transfer (WIT) and wireless power transfer (WPT) systems for multi-user multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) systems. We compare two representative linear precoders which are minimum mean square error (MMSE) and signal-to-leakage-and-noise ratio (SLNR) based precoders for data users and energy beamformer for energy users. The simulation results show that the rate-energy region of the considered precoder is weighed towards one side which is data rate side or harvested energy side according to power allocation between data users and energy users. Besides, when there are many energy users, controlling the direction of the data signal is important in the aspect of energy harvesting.
Original language | English |
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Title of host publication | 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538663585 |
DOIs | |
Publication status | Published - 2018 Jul 2 |
Event | 88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States Duration: 2018 Aug 27 → 2018 Aug 30 |
Publication series
Name | IEEE Vehicular Technology Conference |
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Volume | 2018-August |
ISSN (Print) | 1550-2252 |
Conference
Conference | 88th IEEE Vehicular Technology Conference, VTC-Fall 2018 |
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Country/Territory | United States |
City | Chicago |
Period | 18/8/27 → 18/8/30 |
Bibliographical note
Funding Information:ACKNOWLEDGEMENT This work was partially supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment) and by Samsung Research Funding Center of Samsung Electronics under Project Number SRFC-IT1701-13.
Publisher Copyright:
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics