Delay-aware resource control for device-to-device underlay communication systems

In this paper, we study delay-aware resource control in device-to-device underlay communication systems with multiple source-destination pairs. With the consideration of random bursty arrivals and delay-sensitive information flows, cross-layer optimization seeks to develop algorithms that (i) provide efficient throughput-utility, (ii) are robust to general time-varying conditions and (iii) guarantee bounded worst-case delay. To deal with the delay constraints, both the large deviation approach and the Lyapunov drift approach are presented. We also allow each source-destination pair to select its best communication mode, that is, cellular mode or device-to-device mode, at each slot. Theoretical analyses and simulation results show that adopting such mode selection can significantly increase the network flexibility and improve the system performance. The simulation results also imply that the large deviation approach performs better in light traffic loading regimes with large delay bound requirements, while the Lyapunov drift approach may not have good delay performance in moderate and light traffic loading regimes but can keep the system stability when data arrival rate grows large. Copyright (C) 2015 John Wiley & Sons, Ltd.