Wireless Powered and Backscattering Mobile Edge Computing Systems with Movable Antennas

This paper proposes a movable antenna (MA) empowered scheme for wireless powered and backscattering mobile edge computing (WPB-MEC) system. In the considered system, the access point (AP) transmits signals to enable wireless power transfer (WPT) to wireless devices (WDs) and passive offloading from the WDs to the MEC server. Moreover, the WDs are capable of actively offloading their tasks to the MEC server based on the previously harvested energy. The MAs are deployed at the AP and MEC server to improve the efficiency of WPT and hybrid offloading by flexibly adjusting their positions within an available area. Under this setup, we formulate a sum computational bits (SCBs) maximization problem and propose a block coordinate descent based optimization framework with the successive convex approximation method and the genetic algorithm based particle swarm optimization algorithm to find its accurate solution. Numerical results verify that utilizing the MAs can improve up to 81.77% SCBs compared to the scheme with fixed position antennas.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757494
Citations
1
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.21

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article

Wireless Powered and Backscattering Mobile Edge Computing Systems with Movable Antennas

Juai Wu, Yan Liu, Yining Zhang, Bin Lyu
1 citations
Energy Harvesting in Wireless Networks
0.21
article

Wireless Powered and Backscattering Mobile Edge Computing Systems with Movable Antennas

Juai Wu, Yan Liu, Yining Zhang, Bin Lyu
article en
1 citations

Abstract

This paper proposes a movable antenna (MA) empowered scheme for wireless powered and backscattering mobile edge computing (WPB-MEC) system. In the considered system, the access point (AP) transmits signals to enable wireless power transfer (WPT) to wireless devices (WDs) and passive offloading from the WDs to the MEC server. Moreover, the WDs are capable of actively offloading their tasks to the MEC server based on the previously harvested energy. The MAs are deployed at the AP and MEC server to improve the efficiency of WPT and hybrid offloading by flexibly adjusting their positions within an available area. Under this setup, we formulate a sum computational bits (SCBs) maximization problem and propose a block coordinate descent based optimization framework with the successive convex approximation method and the genetic algorithm based particle swarm optimization algorithm to find its accurate solution. Numerical results verify that utilizing the MAs can improve up to 81.77% SCBs compared to the scheme with fixed position antennas.

Tongji University (CN), Nanjing University of Posts and Telecommunications (CN)
Natural Science Foundation of Jiangsu Province
Affordable and clean energy
Openalex Percentile: Top 44%
Energy Harvesting in Wireless Networks
0.21
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Wireless Powered and Backscattering Mobile Edge Computing Systems with Movable Antennas — Juai Wu, Yan Liu, et al. · (2024) | TGRS Research Map | TGRS