Interference Management for Over-the-Air Computation and Cellular Coexistence Systems
Yuhang Du, Lukuan Xing, Yong Zhou, Yuanming Shi · 2021 IEEE Globecom Workshops (GC Wkshps) · 2021
Over-the-air computation has recently been developed to achieve rapid wireless data aggregation. Since wireless data aggregation has pervaded a wide range of applications such as massive machine type communication and on-device federated machine learning, the co-existence of communication and artificial intelligence computing is inevitable in future communication networks. In this paper, we study the interference management for the co-existence of AirComp and cellular communication to minimize the mean square error of AirComp. In the AirComp and cellular co-existence communication system, the signals transmitted by cellular devices are considered as interference for AirComp. We formulate a joint design problem for transceivers of AirComp system and cellular system. Then we propose an efficient algorithm to jointly optimize both AirComp and cellular systems. Furthermore, our numerical results show that our proposed algorithm achieves a good convergence performance and there exists a trade-off between the aggregation accuracy of AirComp and the target signal-to-interference-plus-noise-ratio of cellular communication.