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In this paper, we consider a device-to-device communication network in which$K$ transmitter-receiver pairs are sharing spectrum with each other. We proposea novel but simple binary scheduling scheme for this network to maximize theaverage sum rate of the pairs. According to the scheme, each receiver predictsits Signal-to-Interference-plus-Noise Ratio (SINR), assuming \emph{all} otheruser pairs are active, and compares it to a preassigned threshold to decidewhether its corresponding transmitter to be activated or not. For our proposedscheme, the optimal threshold that maximizes the expected sum rate is obtainedanalytically for the two user-pair case and empirically in the general $K$user-pair case. Simulation results reveal that our proposed SINR-thresholdscheduling scheme outperforms ITLinQ \cite{navid}, FlashLinQ \cite{flash} andthe method presented in \cite{G} in terms of the expected sum rate (networkthroughput). In addition, the computational complexity of the proposed schemeis $O(K)$, outperforming both ITLinQ and FlashLinQ that have $O(K^2)$complexity requirements. Moreover, we also discuss the application of ourproposed new scheme into an operator-assisted cellular D2D heterogeneousnetwork.

SINR-Threshold Scheduling with Binary Power Control for D2D Networks