The dynamic planning solution in literature focus on switching off either some of the BSs or some of the resources of the BSs. It is more beneficial to combine both strategies and not only switch off some BSs, but also switch off some of the resources of an active BS to further improve the amount of energy saving. Also, with the existence of different wireless networks with different overlapped coverage areas, network cooperation can achieve energy saving and avoid dynamic planning’s shortcomings. In this article, we aim to provide an optimal resources on-off switching framework that captures the random behavior of traffic arrivals, adapts to fluctuations of the traffic load, and maximizes the amount of energy saving under service quality constraints in a cooperative networking environment.