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

Abstract

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 © 2015 John Wiley & Sons, Ltd.

Resource sharing and scheduling in device-to-device communication underlying cellular network

“…In the literature, combining the information theoretical bounds and queuing dynamics has been done either by converting a latency constraint into an equivalent rate constraint [6] or relying on elimination [7] or minimization [8] of the interference. In [6], a delay aware resource allocation problem was defined as a sum throughput maximization problem and two statistical approaches were used for expressing a delay constraint in terms of physical layer parameters.…”

“…In the literature, combining the information theoretical bounds and queuing dynamics has been done either by converting a latency constraint into an equivalent rate constraint [6] or relying on elimination [7] or minimization [8] of the interference. In [6], a delay aware resource allocation problem was defined as a sum throughput maximization problem and two statistical approaches were used for expressing a delay constraint in terms of physical layer parameters. In the first approach, a large deviation theory was used to convert the delay constraint into the equivalent rate constraint and in the second approach the characteristics of the power control policies was analyzed by using Lyapunov drift stochastic stability analysis.…”

Device-to-device and mobile user communication with queuing in NOMA-based network

“…The work in the study of Cui et al (2012) was used (Li et al, 2017) for the latency analysis of the D2D pairs, and is concluded that D2D pairs latency depends on the order of data arrival and type. Another approach named Stochastic majorization is used in Asheralieva and Miyanaga (2016) that implements the longest queue highest rate possible approach for providing a power control, which is latency aware.…”