In the invention, how to combine energy collection with a large-scale multi-antenna system is studied, so that the energy efficiency is obviously improved, and meanwhile, the requirements of actual limiting causal relationships such as energy and the like, RF chain energy consumption, limited battery capacity, transmission power and QoS (Quality of Service) are met. From a deterministic offline hypothesis, a field of view with limited united antenna selection and power distribution problems is formulated, which is due to the combined NP difficult property. We propose a nonlinear offline algorithm-combined fractional programming, dichotomy and Lagrangian dual decomposition, which is the performance reference. Then, comprehensive property analysis is provided, and an offline algorithm is provided from the aspects of optimality, convergence, uniqueness and complexity. By exploring a solution structure of an offline algorithm, we propose low-complexity causal knowledge of a suboptimal online algorithm which is only needed. And finally, the proposed offline and online algorithms pass simulation verification and comparison of various system configurations.