Abstract

We investigate distributed traffic admission and power control strategies for delay-aware Device-to- Device (D2D) communication underlaying large wireless networks, where D2D pairs reuse the resource blocks (RBs) of interior cellular users (CUEs). We consider a distributed D2D power control framework, where the D2D pairs individually attempt to maximize their own time-average throughput utility, while collectively guaranteeing the time- average coverage probability of CUEs in multiple cells. We design a novel method to compute the individual budget of interference to CUEs by each D2D pair based on the stochastic geometry tools. Then, accounting for time-varying channel fading and dynamic D2D traffic arrival, we design a distributed interference-and-delay-aware (DIDA) traffic admission and power control strategy based on Lyapunov optimization and interference estimation. Simulation results demonstrate that substantial performance improvement can be achieved against alternative strategies.

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