摘要
Low-Earth Orbit (LEO) satellite networks have demonstrated advantages for efficiently and globally providing communication services across diverse environments, particularly in remote areas. However, reducing communication interference remains a critical issue. This paper studies a network of multiple LEO satellites that cover several ground cells with limited network resources. We aim to maximize the fair cell data rate by jointly considering cell-satellite association, channel assignment, and power allocation. The formulated problem appears to be a mixed-integer nonlinear programming problem, which is challenging to solve. To handle this, our optimization framework decomposes the problem into three subproblems, which are efficiently solved by the proposed algorithms and the successive convex approximation method. Simulation results demonstrate that our proposed solution outperforms existing approaches in terms of the fair data rate for the served cells.