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In this letter, we propose an energy beamforming empowered relaying scheme for a batteryless IoT network, where wireless-powered relays are deployed between the hybrid access point (HAP) and batteryless IoT devices to assist the uplink information transmission from the devices to the HAP. In particular, the HAP first exploits energy beamforming to efficiently transmit radio frequency (RF) signals to transfer energy to the relays and as the incident signals to enable the information backscattering of batteryless IoT devices. Then, each relay uses the harvested energy to forward the decoded signals from its corresponding batteryless IoT device to the HAP, where the maximum-ratio combing is used for further performance improvement. To maximize the network sum-rate, the joint optimization of energy beamforming vectors at the HAP, network time scheduling, power allocation at the relays, and relection coefficient at the users is investigated. As the formulated problem is non-convex, we propose an alternating optimization algorithm with the variable substitution and semi-definite relaxation (SDR) techniques to solve it efficiently. Specifically, we prove that the obtained energy beamforming matrices are always rank-one. Numerical results show that compared to the benchmark schemes, the proposed scheme can achieve a significant sum-rate gain.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.2 pp.164-168

- Publication Date
- 2023/02/01

- Publicized
- 2022/08/23

- Online ISSN
- 1745-1337

- DOI
- 10.1587/transfun.2022EAL2033

- Type of Manuscript
- LETTER

- Category
- Mobile Information Network and Personal Communications

Yanming CHEN

Nanjing University of Posts and Telecommunications

Bin LYU

Nanjing University of Posts and Telecommunications

Zhen YANG

Nanjing University of Posts and Telecommunications

Fei LI

Nanjing University of Posts and Telecommunications

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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Yanming CHEN, Bin LYU, Zhen YANG, Fei LI, "Wireless-Powered Relays Assisted Batteryless IoT Networks Empowered by Energy Beamforming" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 2, pp. 164-168, February 2023, doi: 10.1587/transfun.2022EAL2033.

Abstract: In this letter, we propose an energy beamforming empowered relaying scheme for a batteryless IoT network, where wireless-powered relays are deployed between the hybrid access point (HAP) and batteryless IoT devices to assist the uplink information transmission from the devices to the HAP. In particular, the HAP first exploits energy beamforming to efficiently transmit radio frequency (RF) signals to transfer energy to the relays and as the incident signals to enable the information backscattering of batteryless IoT devices. Then, each relay uses the harvested energy to forward the decoded signals from its corresponding batteryless IoT device to the HAP, where the maximum-ratio combing is used for further performance improvement. To maximize the network sum-rate, the joint optimization of energy beamforming vectors at the HAP, network time scheduling, power allocation at the relays, and relection coefficient at the users is investigated. As the formulated problem is non-convex, we propose an alternating optimization algorithm with the variable substitution and semi-definite relaxation (SDR) techniques to solve it efficiently. Specifically, we prove that the obtained energy beamforming matrices are always rank-one. Numerical results show that compared to the benchmark schemes, the proposed scheme can achieve a significant sum-rate gain.

URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAL2033/_p

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@ARTICLE{e106-a_2_164,

author={Yanming CHEN, Bin LYU, Zhen YANG, Fei LI, },

journal={IEICE TRANSACTIONS on Fundamentals},

title={Wireless-Powered Relays Assisted Batteryless IoT Networks Empowered by Energy Beamforming},

year={2023},

volume={E106-A},

number={2},

pages={164-168},

abstract={In this letter, we propose an energy beamforming empowered relaying scheme for a batteryless IoT network, where wireless-powered relays are deployed between the hybrid access point (HAP) and batteryless IoT devices to assist the uplink information transmission from the devices to the HAP. In particular, the HAP first exploits energy beamforming to efficiently transmit radio frequency (RF) signals to transfer energy to the relays and as the incident signals to enable the information backscattering of batteryless IoT devices. Then, each relay uses the harvested energy to forward the decoded signals from its corresponding batteryless IoT device to the HAP, where the maximum-ratio combing is used for further performance improvement. To maximize the network sum-rate, the joint optimization of energy beamforming vectors at the HAP, network time scheduling, power allocation at the relays, and relection coefficient at the users is investigated. As the formulated problem is non-convex, we propose an alternating optimization algorithm with the variable substitution and semi-definite relaxation (SDR) techniques to solve it efficiently. Specifically, we prove that the obtained energy beamforming matrices are always rank-one. Numerical results show that compared to the benchmark schemes, the proposed scheme can achieve a significant sum-rate gain.},

keywords={},

doi={10.1587/transfun.2022EAL2033},

ISSN={1745-1337},

month={February},}

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TY - JOUR

TI - Wireless-Powered Relays Assisted Batteryless IoT Networks Empowered by Energy Beamforming

T2 - IEICE TRANSACTIONS on Fundamentals

SP - 164

EP - 168

AU - Yanming CHEN

AU - Bin LYU

AU - Zhen YANG

AU - Fei LI

PY - 2023

DO - 10.1587/transfun.2022EAL2033

JO - IEICE TRANSACTIONS on Fundamentals

SN - 1745-1337

VL - E106-A

IS - 2

JA - IEICE TRANSACTIONS on Fundamentals

Y1 - February 2023

AB - In this letter, we propose an energy beamforming empowered relaying scheme for a batteryless IoT network, where wireless-powered relays are deployed between the hybrid access point (HAP) and batteryless IoT devices to assist the uplink information transmission from the devices to the HAP. In particular, the HAP first exploits energy beamforming to efficiently transmit radio frequency (RF) signals to transfer energy to the relays and as the incident signals to enable the information backscattering of batteryless IoT devices. Then, each relay uses the harvested energy to forward the decoded signals from its corresponding batteryless IoT device to the HAP, where the maximum-ratio combing is used for further performance improvement. To maximize the network sum-rate, the joint optimization of energy beamforming vectors at the HAP, network time scheduling, power allocation at the relays, and relection coefficient at the users is investigated. As the formulated problem is non-convex, we propose an alternating optimization algorithm with the variable substitution and semi-definite relaxation (SDR) techniques to solve it efficiently. Specifically, we prove that the obtained energy beamforming matrices are always rank-one. Numerical results show that compared to the benchmark schemes, the proposed scheme can achieve a significant sum-rate gain.

ER -