The invention provides an energy consumption optimization method for D2D communication in a single cell. A D2D user resource allocation strategy based on optimal matching of bipartite graphs is proposed. On the premise of not exceeding the system capacity, an appropriate time is selected, and an appropriate cellular link is selected to match with a D2D transmission link, so that the energy consumption of the system is optimal; experiments prove that compared with maximum power transmission, the energy loss of an optimal allocation strategy based on the Hungarian algorithm can be reduced by 40%, and with the increase of the number of users , energy saving is more obvious; further, compared with some common distance-based allocation strategies, such as closest allocation, farthest allocation, random allocation, the energy consumption of the optimal allocation strategy is the lowest in all allocation strategies, and thus the optimal allocation strategy can replace the traditional maximum power transmission scheme and the distance-based resource allocation scheme.