李亦卿

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Personal Information

  • Date of Birth:

    1993-06-01
  • Date of Employment:

    2022-07-12
  • School/Department:

    计算机学院
  • Gender:

    Female
  • Status:

    On-the-job
  • Teacher College:

    School of Computer Science

Other Contact Information:

  • Telephone:

  • Email:

Paper Publications

Current position: Home > Scientific Research > Paper Publications

Joint Optimization for Multi-Antenna AF-Relay Aided Over-the-Air Computation

  • Release time:2022-09-01
  • Hits:
  • Impact Factor:  

    6.239
  • DOI number:  

    10.1109/TVT.2022.3160931
  • Journal:  

    IEEE Transactions on Vehicular Technology
  • Abstract:  

    Benefiting from exploiting the waveform superposition property in the multi-access channels, over-the-air computation (AirComp) has emerged as a promising technique to swiftly compute functions of data from a large number of sensors. To enlarge the wireless coverage area, a two-phase multi-antenna amplify-and-forward (AF)-relay aided AirComp system is considered, where all the sensors transmit sensing data during both two phases in a half-duplex AF relay system with direct links. We present efficient designs for optimizing the transmit scalar vectors at the sensors, the AF matrix at the relay, and the aggregation vector at the access point, which aims to minimize the mean-square-error (MSE) subject to the transmit power budgets at the relay and the sensors, respectively. To solve the resultant multiple variables coupled non-convex optimization problem efficiently, we develop an alternating optimization-based algorithm to obtain locally optimal solutions. Specifically, in each iteration, closed-form expressions are derived for each optimizing variable. Finally, the computation distortion improvement of our proposed design over baseline schemes is demonstrated via simulations.
  • Co-author:  

    zhangguangchi,cuimiao
  • First Author:  

    Li Yiqing
  • Indexed by:  

    Journal paper
  • Correspondence Author:  

    jmiao
  • Discipline:  

    Engineering
  • First-Level Discipline:  

    Information and Communication Engineering
  • Document Type:  

    J
  • Volume:  

    71
  • Issue:  

    6
  • Page Number:  

    6744—6749
  • ISSN No.:  

    1939-9359
  • Translation or Not:  

    no
  • Date of Publication:  

    2022-06-01
  • Included Journals:  

    SCI
  • Links to published journals:  

    https://ieeexplore.ieee.org/document/9739947