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Through the literature summary, a list of key factors affecting construction and demolition (C&D) waste recycling and resource governance was identified from three levels: government governance and support, social public participation, and related enterprise participation. By building a collaborative driving model of C&D waste recovery and recycling governance, and based on the system dynamics of C&D waste recovery and recycling governance causal loop diagram, it shows the synergy between various influencing factors of the C&D waste recovery and recycling management. Conclusion: suggestions are come up with promote the development of C&D waste recovery and recycling management by increasing policy guarantees and financial support, encouraging public participation, stimulating the participation of relevant enterprises, and improving the effects of C&D waste recovery and recycling.

In this paper, we estimate the uplink performance of large-scale multi-user multiple-input multiple-output (MIMO) networks. By applying minimum-mean-square-error (MMSE) detection, a novel statistical distribution of the signal-to-interference-plus-noise ratio (SINR) for any user is derived, for path loss, shadowing and Rayleigh fading. Suppose that the channel state information is perfectly known at the base station. Then, we derive the analytical expressions for the pairwise error probability (PEP) of the massive multiuser MMSE–MIMO systems, based on which we further obtain the upper bound of the bit error rate (BER). The analytical results are validated successfully through simulations for all cases.