Chen, Guangji;
Li, Jun;
Wu, Qingqing;
Hua, Meng;
Meng, Kaitao;
Lyu, Zhonghao;
(2024)
Intelligent Reflecting Surface Aided AirComp: Multi-Timescale Design and Performance Analysis.
IEEE Transactions on Vehicular Technology
pp. 1-6.
10.1109/TVT.2024.3510040.
(In press).
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Abstract
The integration of intelligent reflecting surface (IRS) into over-the-air computation (AirComp) is an effective solution for reducing the computational mean squared error (MSE) via its high passive beamforming gain. Prior works on IRS aided AirComp generally rely on the full instantaneous channel state information (I-CSI), which is not applicable to large-scale systems due to its heavy signalling overhead. To address this issue, we propose a novel multi-timescale transmission protocol. In particular, the receive beamforming at the access point (AP) is pre-determined based on the static angle information and the IRS phase-shifts are optimized relying on the long-term statistical CSI. With the obtained AP receive beamforming and IRS phase-shifts, the effective low-dimensional I-CSI is exploited to determine devices' transmit power in each I-CSI coherence block, thus substantially reducing the signalling overhead. Theoretical analysis unveils that the achievable MSE scales on the order of O ( K / ( N2M )) where M, N, and K are the number of AP antennas, IRS elements, and devices, respectively. We also prove that the channel-inversion power control is asymptotically optimal for large N, which reveals that the full power transmission policy is not needed for lowering the power consumption of energy-limited devices.
| Type: | Article |
|---|---|
| Title: | Intelligent Reflecting Surface Aided AirComp: Multi-Timescale Design and Performance Analysis |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TVT.2024.3510040 |
| Publisher version: | https://doi.org/10.1109/TVT.2024.3510040 |
| Language: | English |
| Additional information: | This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Array signal processing, Protocols, Power control, Coherence, Wireless sensor networks, Wireless communication, Vectors, Power transmission, Internet of Things, Data aggregation, IRS, multi-timescale design, AirComp |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10202384 |
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