Location-Aided MmWave Hybrid Precoding Prediction for Air-to-Air Communications

Air-to-air (A2A) communications have been considered as one of the promising technologies to support various applications in future wireless communications, and high data rates are important for these applications such as aerial reconnaissance, remote sensing, and so on. However, it becomes unstable to provide high data rates services when suffering from the high mobility and huge path loss in A2A communications. Millimeter wave (mmWave) and massive MIMO precoding have been studied to meet the requirements of ever-increasing data rates. Unfortunately, MIMO full-digital precoding is considered by most of these methods, which leads to high complexity and power consumption. And the hybrid precoding is an efficient method to overcome this difficulty. Nevertheless, high relative velocity and long distance transmission are not taken into account in these researches. The objective of this paper is to develop an effective mmWave massive MIMO hybrid precoding strategy for high mobility and long distance communications. First, the A2A system is constructed and the evolution channel is derived. Second, a location-aided two-stage hybrid precoding prediction strategy is proposed. Moreover, the data transmission process of the system is discussed. Finally, numerical results manifest that the proposed strategy can effectively provide high data rates for A2A wireless communications.