Hybrid Beamforming and Waveform Design for Over-the-air Integrated Signal

Abstract

The future wireless communications are expected to provide new use scenarios with emerging techniques. This paper focuses on vehicle to everything (V2X) network, where vehicles should cooperatively implement information obtaining, data sharing, and information postprocessing. Conventionally, the above three operations are considered in different layers or separated waveforms, leading to unavoidable interference and inefficient resource management when the number of devices becomes large. In this paper, we exploit the hybrid beamforming to design a cost-effective over-the-air integrated framework, and further consider the integrated waveform design problem with the constant-modulus constrain (CMC) and similarity constraint (SC). To solve these non-convex problems, an alternating optimization (AO) approach is proposed to jointly optimize the digital precoder as well as the hybrid combiner, using the successive convex approximation (SCA) and Riemannian conjugate gradient (RCG) algorithm. Additionally, we use the semidefinite relaxation (SDR) method to handle the practical waveform design problem. Numerical results demonstrate the effectiveness of the proposed hybrid beamforming and waveform design.