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Link Scheduling in SWIPT Systems

Authors: Zezu Liang; Yuan Liu 0001;

Link Scheduling in SWIPT Systems

Abstract

This paper studies optimal resource scheduling in simultaneous wireless information and power transfer (SWIPT) system, where a half-duplex hybrid access point (HAP) coordinates the transmissions of a downlink user and an energy harvesting embedded uplink user. In downlink, the HAP transmits information to the downlink user and simultaneously uses the same signal to charge the uplink user. In uplink, the uplink user transmits information to the HAP by utilizing the energy harvested in downlink. We formulate the joint optimization of link scheduling and power allocation as an mixed-integer programming problem. Our goal is to maximize the system sum-rate subject to the binary link selection and the physical power causality. We analyze the common feature among all the optimal link scheduling polices and solve the problem optimally by characterizing the properties of optimal power allocation. We also extend our results to multiuser scenario. Simulation results show that our scheme can significantly improve the system performance compared to the conventional schemes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
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