Optimized Transceiver Design for Over-the-Air Distributed Computation over Cell-Free Massive MIMO Network

Han, Fei1; Li, Qiang2; Gong, Yi3

10.1109/PIMRC56721.2023.10293975

2023

IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

2166-9570

2023 IEEE 34TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, PIMRC

SEP 05-08, 2023

null,Toronto,CANADA

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Our paper presents a MapReduce-based wireless distributed computing framework designed to handle data-intensive computing on edge devices with limited storage. The framework involves three stages: Map, Shuffle, and Reduce. However, shuffling large data during the second stage can lead to performance degradation over wireless interference networks with limited spectrum bandwidth. To address these issues, we propose using over-the-air computation (AirComp) technology, which leverages interference in the multiple-access channel to compute multiple target functions reliably. This approach achieves higher computation efficiency than traditional orthogonal multi-access schemes and is more effective in combating interference. Furthermore, we employ cell-free massive MIMO technology to improve coverage and reduce the system power overhead. This technology is essential for the upcoming sixth-generation (6G) networks. We optimize the transmitting-receiving (Tx-Rx) policy to minimize the averaged computation mean squared error (MSE) while adhering to each device's power constraint. Our simulation results demonstrate that our proposed algorithm is effective and our computation framework has advantages over state-of-the-art baselines.

Cell Free Massive MIMO Distributed Computation Mobile Edge Computing Resource Allocation

其他

英语

CPCI-S

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:001103214700226

Web of Science

1.HKUST, Peng Cheng Lab, Shenzhen, Peoples R China
2.Peng Cheng Lab, Shenzhen, Peoples R China
3.SUSTech, Peng Cheng Lab, Shenzhen, Peoples R China

Han, Fei,Li, Qiang,Gong, Yi. Optimized Transceiver Design for Over-the-Air Distributed Computation over Cell-Free Massive MIMO Network[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2023.