An Optimized Transceiver Design for Wireless Powered Over-the-air Computation Systems

Hong Ze-bin; Wang Feng

doi:10.12052/gdutxb.220181

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An Optimized Transceiver Design for Wireless Powered Over-the-air Computation Systems

更新时间：2026-05-27

- An Optimized Transceiver Design for Wireless Powered Over-the-air Computation Systems
- Vol. 41, Issue 2, Pages: 116-121(2024)
- 作者机构：
  
  广东工业大学信息工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.220181
  CLC： F224.32
- Published：2024
- 稿件说明：
移动端阅览
洪泽彬, 王丰. 基于无线供电空中计算系统的收发器优化设计[J]. 广东工业大学学报, 2024, 41(2): 116-121.

Hong Ze-bin, Wang Feng. An Optimized Transceiver Design for Wireless Powered Over-the-air Computation Systems[J]. 2024, 41(2): 116-121.
洪泽彬, 王丰. 基于无线供电空中计算系统的收发器优化设计[J]. 广东工业大学学报, 2024, 41(2): 116-121. DOI： 10.12052/gdutxb.220181.

Hong Ze-bin, Wang Feng. An Optimized Transceiver Design for Wireless Powered Over-the-air Computation Systems[J]. 2024, 41(2): 116-121. DOI： 10.12052/gdutxb.220181.

摘要

本文研究基于无线供电的空中计算系统，其能量发射器采用能量波束形成技术为多个低功耗传感器提供能源，基于无线多址接入信号叠加的空中计算原理，传感器将感知数据同时传输至无线接入点，无线接入点应用接收滤波技术直接完成感测数据的函数值计算。本文考虑一个先采能后感知再传输的工作协议，建模满足传感器能量收集约束条件和计算均方误差约束条件的能量发射器发射能量最小化问题，以及对能量发射器的能量波束形成向量、无线接入点的接收波束形成向量和传感器终端的发射系数进行联合优化。由于复杂的变量耦合性，基于发射能量最小化的空中计算系统设计问题属于一类非凸优化问题。为降低计算复杂度，本文提出一种交替优化求取次优解的方案。仿真结果表明该设计方案具有快速收敛性和优越性。

Abstract

A wireless powered over-the-air computation (AirComp) system is studied

where one separately-located energy transmitter (ET) is deployed to charge multiple low-power sensors simultaneously via energy beamforming

and these sensors rely on the harvested energy for sequential data sensing and functional computation along with the access point (AP) . A harvest-then-sense-and-transmit protocol is considered. Under this system setup

an energy-efficient AirComp design is pursued to minimize the transmit energy of the ET

subject to the sensor energy harvesting constraints and the computational mean squared error (MSE) constraints. The energy beamforming vectors of the ET

the receive beamforming vectors of the AP

and the transmit coefficients at the sensors are jointly optimized. Due to the complicated variable coupling

the resultant energy minimization problem is non-convex. As such

an alternating optimization method is presented to obtain a near-optimal design solution in an iteration manner. Numerical results are provided to show the fast convergence performance and the merit of the proposed design solution.

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references

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