Joint User Grouping and Resource Allocation for LEO Satellite Multicast
Yuwei Li, Shibing Zhu, Jianmei Dai
Abstract
Similar to the dilemma encountered by terrestrial wireless networks, low Earth orbit (LEO) satellite networks are also facing the problem of increasing pressure caused by the growth of wireless traffic. Wireless multicast technology is an effective technique on improving the spectrum efficiency by sending the same signal to multiple users who request the same service. In this article, the LEO satellite transmission system is considered and a maximum system capacity problem is formulated. To solve the original nonconvex problem efficiently, a joint user grouping and resource allocation scheme is proposed. There are two parts in the scheme: on the one hand, we propose an improved K-means++ algorithm for user grouping; on the other hand, we proposed a joint power and bandwidth allocation algorithm using the two stage iteration method. Compared with the baseline approach, our proposed scheme can improve the capacity 10% higher at least.