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Energy scheduling mechanism for intelligent terminal with simultaneous wireless information and power transfer

Published: 24 September 2019 Publication History

Abstract

Wireless energy harvesting not only can extend the battery life of the device but also can solve the problem of energy shortage. In this paper, we first consider a point-to-point wireless transmission of low-power intelligent terminal equipment by the base station (BS) and model the problem as maximizing the total energy received by the user in a random fading channel over a period of time. Then, we comprehensively investigate how to control the transmit power for energy scheduling with Simultaneous Wireless Information and Power Transfer (SWIPT). Meanwhile, we describe the problem as a Markov Decision Process (MDP) and propose an optimal power allocation strategy. At last, we verify the simulation of the energy transmission efficiency with the optimal power transmission strategy. The simulation results show that the proposed optimal power transmission strategy outperforms the existing scheme in terms of energy transmission efficiency.

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    cover image ACM Conferences
    RACS '19: Proceedings of the Conference on Research in Adaptive and Convergent Systems
    September 2019
    323 pages
    ISBN:9781450368438
    DOI:10.1145/3338840
    • Conference Chair:
    • Chih-Cheng Hung,
    • General Chair:
    • Qianbin Chen,
    • Program Chairs:
    • Xianzhong Xie,
    • Christian Esposito,
    • Jun Huang,
    • Juw Won Park,
    • Qinghua Zhang
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 24 September 2019

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    Author Tags

    1. MDP
    2. dynamic programming
    3. energy scheduling
    4. transmission efficiency
    5. wireless energy harvesting

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    RACS '19 Paper Acceptance Rate 56 of 188 submissions, 30%;
    Overall Acceptance Rate 393 of 1,581 submissions, 25%

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